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Mosaic Tool

أداة دمج الصور

ArcMap ArcGIS

How to Mosaic Tool in Arc Toolbox ArcMap ArcGIS??

كيفية استخدام أداة صور مجمّعه ؟؟

Path to access the toolمسار الوصول الى الأداة

:

Mosaic Tool, Raster Dataset Toolset, Raster Box, Data Management Tools Toolbox

 

Mosaic

Merges multiple existing raster datasets into an existing raster dataset.

يدمج العديد من مجموعات البيانات النقطية الموجودة في مجموعة بيانات نقطية موجودة.

1.    Input Rasters أدخل النقطية

The raster datasets you want to merge together.

مجموعات البيانات النقطية التي تريد دمجها معًا.

Target Raster

The raster to add the input rasters. This raster dataset must already exist. By default, the target raster is considered the first raster in the list of input raster datasets. You can create an empty raster using the Create Raster Dataset tool.

Mosaic Operator (optional)

The method used to mosaic overlapping areas.

·      FIRST—The output cell value of the overlapping areas will be the value from the first raster dataset mosaicked into that location.

·      LAST—The output cell value of the overlapping areas will be the value from the last raster dataset mosaicked into that location. This is the default.

·      BLEND—The output cell value of the overlapping areas will be a horizontally weighted calculation of the values of the cells in the overlapping area.

·      MEAN—The output cell value of the overlapping areas will be the average value of the overlapping cells.

·      MINIMUM—The output cell value of the overlapping areas will be the minimum value of the overlapping cells.

·      MAXIMUM—The output cell value of the overlapping areas will be the maximum value of the overlapping cells.

·      SUM—The output cell value of the overlapping areas will be the total sum of the overlapping cells.

For more information about each mosaic operator, refer to the Mosaic Operator help topic.

Mosaic Colormap Mode (optional)

The method used to choose which color map from the input rasters will be applied to the mosaic output.

·      FIRST—The color map from the first raster dataset in the list will be applied to the output raster mosaic. This is the default.

·      LAST—The color map from the last raster dataset in the list will be applied to the output raster mosaic.

·      MATCH—Will take all the color maps into consideration when mosaicking. If all possible values are already used (for the bit depth), it will attempt to match the value with the closest color that is available.

·      REJECT—Only the raster datasets that do not have a color map associated with them will be mosaicked.

For more information about each colormap mode, refer to the Mosaic colormap mode help topic.

Ignore Background Value (optional)

Use this option to remove the unwanted values created around the raster data. The value specified will be distinguished from other valuable data in the raster dataset. For example, a value of zero along the raster dataset's borders will be distinguished from zero values in the raster dataset.

The pixel value specified will be set to NoData in the output raster dataset.

For file-based rasters and geodatabase rasters, the Ignore Background Value must be set to the same value as NoData for the background value to be ignored. Enterprise geodatabase rasters will work without this extra step.

NoData Value (optional)

All the pixels with the specified value will be set to NoData in the output raster dataset.

Convert 1 bit data to 8 bit (optional)

Choose whether the input 1-bit raster dataset will be converted to an 8-bit raster dataset. In this conversion, the value 1 in the input raster dataset will be changed to 255 in the output raster dataset. This is useful when importing a 1-bit raster dataset to a geodatabase. One-bit raster datasets have 8-bit pyramid layers when stored in a file system, but in a geodatabase, 1-bit raster datasets can only have 1-bit pyramid layers, which makes the display unpleasant. By converting the data to 8 bit in a geodatabase, the pyramid layers are built as 8 bit instead of 1 bit, resulting in a proper raster dataset in the display.

·      Unchecked—No conversion will be done. This is the default.

·      Checked—The input raster will be converted.

Mosaicking Tolerance (optional)

When mosaicking takes place, the target and the source pixels do not always line up exactly. When there is a misalignment of pixels, a decision needs to be made whether resampling takes place or whether the data should be shifted. The mosaicking tolerance controls whether resampling of the pixels take place or if the pixels should be shifted.

If the difference in pixel alignment (of the incoming dataset and the target dataset) is greater than the tolerance, resampling will take place. If the difference in pixel alignment (of the incoming dataset and the target dataset) is less than the tolerance, resampling will not take place (instead, a shift is performed).

The unit of tolerance is a pixel, where the valid value range is 0 to 0.5. A tolerance of 0.5 will guarantee a shift takes place. A tolerance of zero guarantees resampling, if there is a misalignment in pixels.

For example, the source and target pixels have a misalignment of 0.25. If the mosaicking tolerance is set to 0.2, then resampling will take place since the pixel misalignment is greater than the tolerance. If the mosaicking tolerance is set to 0.3, then the pixels will be shifted.

Color Matching Method (optional)

Choose the color matching method to apply to the rasters.

·      NONE—This option will not use the color matching operation when mosaicking your raster datasets.

·      STATISTIC_MATCHING—This method will use descriptive statistics from the overlapping areas; the transformation will then be applied to the entire target dataset.

·      HISTOGRAM_MATCHING—This method will match the histogram from the reference overlap area to the source overlap area; the transformation will then be applied to the entire target dataset.

·      LINEARCORRELATION_MATCHING—This method will match overlapping pixels and interpolate the rest of the source dataset; pixels without a one-to-one relationship will use a weighted average.

2.    Target Raster نقطية الهدف

The raster to add the input rasters. This raster dataset must already exist. By default, the target raster is considered the first raster in the list of input raster datasets. You can create an empty raster using the Create Raster Dataset tool.

البيانات النقطية لإضافة البيانات النقطية. يجب أن تكون مجموعة البيانات النقطية هذه موجودة بالفعل. بشكل افتراضي ، يتم اعتبار البيانات النقطية الهدف أول خطوط نقطية في قائمة مجموعات البيانات النقطية المدخلة. يمكنك إنشاء بيانات نقطية فارغة باستخدام أداة إنشاء مجموعة بيانات نقطية.

Mosaic Operator (optional)

The method used to mosaic overlapping areas.

·      FIRST—The output cell value of the overlapping areas will be the value from the first raster dataset mosaicked into that location.

·      LAST—The output cell value of the overlapping areas will be the value from the last raster dataset mosaicked into that location. This is the default.

·      BLEND—The output cell value of the overlapping areas will be a horizontally weighted calculation of the values of the cells in the overlapping area.

·      MEAN—The output cell value of the overlapping areas will be the average value of the overlapping cells.

·      MINIMUM—The output cell value of the overlapping areas will be the minimum value of the overlapping cells.

·      MAXIMUM—The output cell value of the overlapping areas will be the maximum value of the overlapping cells.

·      SUM—The output cell value of the overlapping areas will be the total sum of the overlapping cells.

For more information about each mosaic operator, refer to the Mosaic Operator help topic.

Mosaic Colormap Mode (optional)

The method used to choose which color map from the input rasters will be applied to the mosaic output.

·      FIRST—The color map from the first raster dataset in the list will be applied to the output raster mosaic. This is the default.

·      LAST—The color map from the last raster dataset in the list will be applied to the output raster mosaic.

·      MATCH—Will take all the color maps into consideration when mosaicking. If all possible values are already used (for the bit depth), it will attempt to match the value with the closest color that is available.

·      REJECT—Only the raster datasets that do not have a color map associated with them will be mosaicked.

For more information about each colormap mode, refer to the Mosaic colormap mode help topic.

Ignore Background Value (optional)

Use this option to remove the unwanted values created around the raster data. The value specified will be distinguished from other valuable data in the raster dataset. For example, a value of zero along the raster dataset's borders will be distinguished from zero values in the raster dataset.

The pixel value specified will be set to NoData in the output raster dataset.

For file-based rasters and geodatabase rasters, the Ignore Background Value must be set to the same value as NoData for the background value to be ignored. Enterprise geodatabase rasters will work without this extra step.

NoData Value (optional)

All the pixels with the specified value will be set to NoData in the output raster dataset.

Convert 1 bit data to 8 bit (optional)

Choose whether the input 1-bit raster dataset will be converted to an 8-bit raster dataset. In this conversion, the value 1 in the input raster dataset will be changed to 255 in the output raster dataset. This is useful when importing a 1-bit raster dataset to a geodatabase. One-bit raster datasets have 8-bit pyramid layers when stored in a file system, but in a geodatabase, 1-bit raster datasets can only have 1-bit pyramid layers, which makes the display unpleasant. By converting the data to 8 bit in a geodatabase, the pyramid layers are built as 8 bit instead of 1 bit, resulting in a proper raster dataset in the display.

·      Unchecked—No conversion will be done. This is the default.

·      Checked—The input raster will be converted.

Mosaicking Tolerance (optional)

When mosaicking takes place, the target and the source pixels do not always line up exactly. When there is a misalignment of pixels, a decision needs to be made whether resampling takes place or whether the data should be shifted. The mosaicking tolerance controls whether resampling of the pixels take place or if the pixels should be shifted.

If the difference in pixel alignment (of the incoming dataset and the target dataset) is greater than the tolerance, resampling will take place. If the difference in pixel alignment (of the incoming dataset and the target dataset) is less than the tolerance, resampling will not take place (instead, a shift is performed).

The unit of tolerance is a pixel, where the valid value range is 0 to 0.5. A tolerance of 0.5 will guarantee a shift takes place. A tolerance of zero guarantees resampling, if there is a misalignment in pixels.

For example, the source and target pixels have a misalignment of 0.25. If the mosaicking tolerance is set to 0.2, then resampling will take place since the pixel misalignment is greater than the tolerance. If the mosaicking tolerance is set to 0.3, then the pixels will be shifted.

Color Matching Method (optional)

Choose the color matching method to apply to the rasters.

·      NONE—This option will not use the color matching operation when mosaicking your raster datasets.

·      STATISTIC_MATCHING—This method will use descriptive statistics from the overlapping areas; the transformation will then be applied to the entire target dataset.

·      HISTOGRAM_MATCHING—This method will match the histogram from the reference overlap area to the source overlap area; the transformation will then be applied to the entire target dataset.

·      LINEARCORRELATION_MATCHING—This method will match overlapping pixels and interpolate the rest of the source dataset; pixels without a one-to-one relationship will use a weighted average.

3.    Mosaic Operator (optional) مشغل الصور المجمّعه (اختياري)

The method used to mosaic overlapping areas.

· FIRST—The output cell value of the overlapping areas will be the value from the first raster dataset mosaicked into that location.

· LAST—The output cell value of the overlapping areas will be the value from the last raster dataset mosaicked into that location. This is the default.

· BLEND—The output cell value of the overlapping areas will be a horizontally weighted calculation of the values of the cells in the overlapping area.

· MEAN—The output cell value of the overlapping areas will be the average value of the overlapping cells.

· MINIMUM—The output cell value of the overlapping areas will be the minimum value of the overlapping cells.

· MAXIMUM—The output cell value of the overlapping areas will be the maximum value of the overlapping cells.

· SUM—The output cell value of the overlapping areas will be the total sum of the overlapping cells.

For more information about each mosaic operator, refer to the Mosaic Operator help topic.

الطريقة المستخدمة لدمج الصور المساحات المتداخلة.

• FIRST - ستكون قيمة خلية الإخراج للمناطق المتداخلة هي القيمة من مجموعة البيانات النقطية الأولى التي تم تجميعها في هذا الموقع.

• LAST - ستكون قيمة خلية الإخراج للمناطق المتداخلة هي القيمة من مجموعة البيانات النقطية الأخيرة التي تم تجميعها في هذا الموقع. هذا هو الافتراضي.

• BLEND - ستكون قيمة خلية الإخراج الخاصة بالمناطق المتداخلة عبارة عن حساب مرجح أفقيًا لقيم الخلايا في المنطقة المتداخلة.

• MEAN - ستكون قيمة خلية الإخراج للمناطق المتداخلة هي القيمة المتوسطة للخلايا المتداخلة.

• الحد الأدنى — قيمة خلية الإخراج للمناطق المتداخلة ستكون القيمة الدنيا للخلايا المتداخلة.

• الحد الأقصى - ستكون قيمة خلية الإخراج الخاصة بالمناطق المتداخلة هي القيمة القصوى للخلايا المتداخلة.

• SUM - ستكون قيمة خلية الإخراج للمساحات المتداخلة هي المجموع الإجمالي للخلايا المتداخلة.

لمزيد من المعلومات حول كل عامل صور مجمّعه ، ارجع إلى موضوع تعليمات عامله.

Mosaic Colormap Mode (optional)

The method used to choose which color map from the input rasters will be applied to the mosaic output.

·      FIRST—The color map from the first raster dataset in the list will be applied to the output raster mosaic. This is the default.

·      LAST—The color map from the last raster dataset in the list will be applied to the output raster mosaic.

·      MATCH—Will take all the color maps into consideration when mosaicking. If all possible values are already used (for the bit depth), it will attempt to match the value with the closest color that is available.

·      REJECT—Only the raster datasets that do not have a color map associated with them will be mosaicked.

For more information about each colormap mode, refer to the Mosaic colormap mode help topic.

Ignore Background Value (optional)

Use this option to remove the unwanted values created around the raster data. The value specified will be distinguished from other valuable data in the raster dataset. For example, a value of zero along the raster dataset's borders will be distinguished from zero values in the raster dataset.

The pixel value specified will be set to NoData in the output raster dataset.

For file-based rasters and geodatabase rasters, the Ignore Background Value must be set to the same value as NoData for the background value to be ignored. Enterprise geodatabase rasters will work without this extra step.

NoData Value (optional)

All the pixels with the specified value will be set to NoData in the output raster dataset.

Convert 1 bit data to 8 bit (optional)

Choose whether the input 1-bit raster dataset will be converted to an 8-bit raster dataset. In this conversion, the value 1 in the input raster dataset will be changed to 255 in the output raster dataset. This is useful when importing a 1-bit raster dataset to a geodatabase. One-bit raster datasets have 8-bit pyramid layers when stored in a file system, but in a geodatabase, 1-bit raster datasets can only have 1-bit pyramid layers, which makes the display unpleasant. By converting the data to 8 bit in a geodatabase, the pyramid layers are built as 8 bit instead of 1 bit, resulting in a proper raster dataset in the display.

·      Unchecked—No conversion will be done. This is the default.

·      Checked—The input raster will be converted.

Mosaicking Tolerance (optional)

When mosaicking takes place, the target and the source pixels do not always line up exactly. When there is a misalignment of pixels, a decision needs to be made whether resampling takes place or whether the data should be shifted. The mosaicking tolerance controls whether resampling of the pixels take place or if the pixels should be shifted.

If the difference in pixel alignment (of the incoming dataset and the target dataset) is greater than the tolerance, resampling will take place. If the difference in pixel alignment (of the incoming dataset and the target dataset) is less than the tolerance, resampling will not take place (instead, a shift is performed).

The unit of tolerance is a pixel, where the valid value range is 0 to 0.5. A tolerance of 0.5 will guarantee a shift takes place. A tolerance of zero guarantees resampling, if there is a misalignment in pixels.

For example, the source and target pixels have a misalignment of 0.25. If the mosaicking tolerance is set to 0.2, then resampling will take place since the pixel misalignment is greater than the tolerance. If the mosaicking tolerance is set to 0.3, then the pixels will be shifted.

Color Matching Method (optional)

Choose the color matching method to apply to the rasters.

·      NONE—This option will not use the color matching operation when mosaicking your raster datasets.

·      STATISTIC_MATCHING—This method will use descriptive statistics from the overlapping areas; the transformation will then be applied to the entire target dataset.

·      HISTOGRAM_MATCHING—This method will match the histogram from the reference overlap area to the source overlap area; the transformation will then be applied to the entire target dataset.

·      LINEARCORRELATION_MATCHING—This method will match overlapping pixels and interpolate the rest of the source dataset; pixels without a one-to-one relationship will use a weighted average.

4.    Mosaic Colormap Mode (optional) وضع خريطة ألوان دمج الصور (اختياري)

The method used to choose which color map from the input rasters will be applied to the mosaic output.

· FIRST—The color map from the first raster dataset in the list will be applied to the output raster mosaic. This is the default.

· LAST—The color map from the last raster dataset in the list will be applied to the output raster mosaic.

· MATCH—Will take all the color maps into consideration when mosaicking. If all possible values are already used (for the bit depth), it will attempt to match the value with the closest color that is available.

· REJECT—Only the raster datasets that do not have a color map associated with them will be mosaicked.

For more information about each colormap mode, refer to the Mosaic colormap mode help topic.

سيتم تطبيق الطريقة المستخدمة لاختيار خريطة الألوان من البيانات النقطية للإدخال على إخراج دمج الصور.

• FIRST - سيتم تطبيق مخطط الألوان من مجموعة البيانات النقطية الأولى في القائمة على دمج الصور الناتج النقطي. هذا هو الافتراضي.

• LAST - سيتم تطبيق مخطط الألوان من مجموعة البيانات النقطية الأخيرة في القائمة على دمج الصور الناتج النقطي.

• MATCH - ستأخذ جميع الخرائط الملونة في الاعتبار عند عمل دمج صور. إذا تم بالفعل استخدام جميع القيم الممكنة (لعمق البت) ، فسيحاول مطابقة القيمة بأقرب لون متاح.

• رفض - سيتم فقط تجميع مجموعات البيانات النقطية التي لا تحتوي على خريطة لونية مرتبطة بها.

لمزيد من المعلومات حول كل وضع مخطط ألوان ، ارجع إلى موضوع تعليمات صيغة الوان خريطة دمج الصور.

Ignore Background Value (optional)

Use this option to remove the unwanted values created around the raster data. The value specified will be distinguished from other valuable data in the raster dataset. For example, a value of zero along the raster dataset's borders will be distinguished from zero values in the raster dataset.

The pixel value specified will be set to NoData in the output raster dataset.

For file-based rasters and geodatabase rasters, the Ignore Background Value must be set to the same value as NoData for the background value to be ignored. Enterprise geodatabase rasters will work without this extra step.

NoData Value (optional)

All the pixels with the specified value will be set to NoData in the output raster dataset.

Convert 1 bit data to 8 bit (optional)

Choose whether the input 1-bit raster dataset will be converted to an 8-bit raster dataset. In this conversion, the value 1 in the input raster dataset will be changed to 255 in the output raster dataset. This is useful when importing a 1-bit raster dataset to a geodatabase. One-bit raster datasets have 8-bit pyramid layers when stored in a file system, but in a geodatabase, 1-bit raster datasets can only have 1-bit pyramid layers, which makes the display unpleasant. By converting the data to 8 bit in a geodatabase, the pyramid layers are built as 8 bit instead of 1 bit, resulting in a proper raster dataset in the display.

·      Unchecked—No conversion will be done. This is the default.

·      Checked—The input raster will be converted.

Mosaicking Tolerance (optional)

When mosaicking takes place, the target and the source pixels do not always line up exactly. When there is a misalignment of pixels, a decision needs to be made whether resampling takes place or whether the data should be shifted. The mosaicking tolerance controls whether resampling of the pixels take place or if the pixels should be shifted.

If the difference in pixel alignment (of the incoming dataset and the target dataset) is greater than the tolerance, resampling will take place. If the difference in pixel alignment (of the incoming dataset and the target dataset) is less than the tolerance, resampling will not take place (instead, a shift is performed).

The unit of tolerance is a pixel, where the valid value range is 0 to 0.5. A tolerance of 0.5 will guarantee a shift takes place. A tolerance of zero guarantees resampling, if there is a misalignment in pixels.

For example, the source and target pixels have a misalignment of 0.25. If the mosaicking tolerance is set to 0.2, then resampling will take place since the pixel misalignment is greater than the tolerance. If the mosaicking tolerance is set to 0.3, then the pixels will be shifted.

Color Matching Method (optional)

Choose the color matching method to apply to the rasters.

·      NONE—This option will not use the color matching operation when mosaicking your raster datasets.

·      STATISTIC_MATCHING—This method will use descriptive statistics from the overlapping areas; the transformation will then be applied to the entire target dataset.

·      HISTOGRAM_MATCHING—This method will match the histogram from the reference overlap area to the source overlap area; the transformation will then be applied to the entire target dataset.

·      LINEARCORRELATION_MATCHING—This method will match overlapping pixels and interpolate the rest of the source dataset; pixels without a one-to-one relationship will use a weighted average.

5.    Ignore Background Value (optional) تجاهل قيمة الخلفية (اختياري)

Use this option to remove the unwanted values created around the raster data. The value specified will be distinguished from other valuable data in the raster dataset. For example, a value of zero along the raster dataset's borders will be distinguished from zero values in the raster dataset.

The pixel value specified will be set to NoData in the output raster dataset.

For file-based rasters and geodatabase rasters, the Ignore Background Value must be set to the same value as NoData for the background value to be ignored. Enterprise geodatabase rasters will work without this extra step.

استخدم هذا الخيار لإزالة القيم غير المرغوب فيها التي تم إنشاؤها حول البيانات النقطية. سيتم تمييز القيمة المحددة عن البيانات القيمة الأخرى في مجموعة البيانات النقطية. على سبيل المثال ، سيتم تمييز القيمة الصفرية على طول حدود مجموعة البيانات النقطية عن القيم الصفرية في مجموعة البيانات النقطية.

سيتم تعيين قيمة البكسل المحددة على "لا توجد بيانات" في مجموعة البيانات النقطية للإخراج.

بالنسبة إلى البيانات النقطية المستندة إلى الملفات وقاعدة البيانات الجغرافية النقطية ، يجب تعيين قيمة تجاهل الخلفية على نفس القيمة مثل لا توجد بيانات حتى يتم تجاهل قيمة الخلفية. ستعمل البيانات النقطية لقاعدة البيانات الجغرافية الخاصة بالمؤسسة بدون هذه الخطوة الإضافية.

NoData Value (optional)

All the pixels with the specified value will be set to NoData in the output raster dataset.

Convert 1 bit data to 8 bit (optional)

Choose whether the input 1-bit raster dataset will be converted to an 8-bit raster dataset. In this conversion, the value 1 in the input raster dataset will be changed to 255 in the output raster dataset. This is useful when importing a 1-bit raster dataset to a geodatabase. One-bit raster datasets have 8-bit pyramid layers when stored in a file system, but in a geodatabase, 1-bit raster datasets can only have 1-bit pyramid layers, which makes the display unpleasant. By converting the data to 8 bit in a geodatabase, the pyramid layers are built as 8 bit instead of 1 bit, resulting in a proper raster dataset in the display.

·      Unchecked—No conversion will be done. This is the default.

·      Checked—The input raster will be converted.

Mosaicking Tolerance (optional)

When mosaicking takes place, the target and the source pixels do not always line up exactly. When there is a misalignment of pixels, a decision needs to be made whether resampling takes place or whether the data should be shifted. The mosaicking tolerance controls whether resampling of the pixels take place or if the pixels should be shifted.

If the difference in pixel alignment (of the incoming dataset and the target dataset) is greater than the tolerance, resampling will take place. If the difference in pixel alignment (of the incoming dataset and the target dataset) is less than the tolerance, resampling will not take place (instead, a shift is performed).

The unit of tolerance is a pixel, where the valid value range is 0 to 0.5. A tolerance of 0.5 will guarantee a shift takes place. A tolerance of zero guarantees resampling, if there is a misalignment in pixels.

For example, the source and target pixels have a misalignment of 0.25. If the mosaicking tolerance is set to 0.2, then resampling will take place since the pixel misalignment is greater than the tolerance. If the mosaicking tolerance is set to 0.3, then the pixels will be shifted.

Color Matching Method (optional)

Choose the color matching method to apply to the rasters.

·      NONE—This option will not use the color matching operation when mosaicking your raster datasets.

·      STATISTIC_MATCHING—This method will use descriptive statistics from the overlapping areas; the transformation will then be applied to the entire target dataset.

·      HISTOGRAM_MATCHING—This method will match the histogram from the reference overlap area to the source overlap area; the transformation will then be applied to the entire target dataset.

·      LINEARCORRELATION_MATCHING—This method will match overlapping pixels and interpolate the rest of the source dataset; pixels without a one-to-one relationship will use a weighted average.

6.    NoData Value (optional) قيمة بدون بيانات (اختياري)

All the pixels with the specified value will be set to NoData in the output raster dataset.

سيتم تعيين جميع وحدات البكسل ذات القيمة المحددة على "لا توجد بيانات" في مجموعة البيانات النقطية للإخراج.

Convert 1 bit data to 8 bit (optional)

Choose whether the input 1-bit raster dataset will be converted to an 8-bit raster dataset. In this conversion, the value 1 in the input raster dataset will be changed to 255 in the output raster dataset. This is useful when importing a 1-bit raster dataset to a geodatabase. One-bit raster datasets have 8-bit pyramid layers when stored in a file system, but in a geodatabase, 1-bit raster datasets can only have 1-bit pyramid layers, which makes the display unpleasant. By converting the data to 8 bit in a geodatabase, the pyramid layers are built as 8 bit instead of 1 bit, resulting in a proper raster dataset in the display.

·      Unchecked—No conversion will be done. This is the default.

·      Checked—The input raster will be converted.

Mosaicking Tolerance (optional)

When mosaicking takes place, the target and the source pixels do not always line up exactly. When there is a misalignment of pixels, a decision needs to be made whether resampling takes place or whether the data should be shifted. The mosaicking tolerance controls whether resampling of the pixels take place or if the pixels should be shifted.

If the difference in pixel alignment (of the incoming dataset and the target dataset) is greater than the tolerance, resampling will take place. If the difference in pixel alignment (of the incoming dataset and the target dataset) is less than the tolerance, resampling will not take place (instead, a shift is performed).

The unit of tolerance is a pixel, where the valid value range is 0 to 0.5. A tolerance of 0.5 will guarantee a shift takes place. A tolerance of zero guarantees resampling, if there is a misalignment in pixels.

For example, the source and target pixels have a misalignment of 0.25. If the mosaicking tolerance is set to 0.2, then resampling will take place since the pixel misalignment is greater than the tolerance. If the mosaicking tolerance is set to 0.3, then the pixels will be shifted.

Color Matching Method (optional)

Choose the color matching method to apply to the rasters.

·      NONE—This option will not use the color matching operation when mosaicking your raster datasets.

·      STATISTIC_MATCHING—This method will use descriptive statistics from the overlapping areas; the transformation will then be applied to the entire target dataset.

·      HISTOGRAM_MATCHING—This method will match the histogram from the reference overlap area to the source overlap area; the transformation will then be applied to the entire target dataset.

·      LINEARCORRELATION_MATCHING—This method will match overlapping pixels and interpolate the rest of the source dataset; pixels without a one-to-one relationship will use a weighted average.

7.    Convert 1 bit data to 8 bit (optional) تحويل بيانات 1 بت إلى 8 بت (اختياري)

Choose whether the input 1-bit raster dataset will be converted to an 8-bit raster dataset. In this conversion, the value 1 in the input raster dataset will be changed to 255 in the output raster dataset. This is useful when importing a 1-bit raster dataset to a geodatabase. One-bit raster datasets have 8-bit pyramid layers when stored in a file system, but in a geodatabase, 1-bit raster datasets can only have 1-bit pyramid layers, which makes the display unpleasant. By converting the data to 8 bit in a geodatabase, the pyramid layers are built as 8 bit instead of 1 bit, resulting in a proper raster dataset in the display.

· Unchecked—No conversion will be done. This is the default.

· Checked—The input raster will be converted.

اختر ما إذا كان سيتم تحويل مجموعة البيانات النقطية المدخلة 1 بت إلى مجموعة بيانات نقطية 8 بت. في هذا التحويل ، سيتم تغيير القيمة 1 في مجموعة البيانات النقطية للإدخال إلى 255 في مجموعة البيانات النقطية للإخراج. يكون هذا مفيدًا عند استيراد مجموعة بيانات نقطية 1 بت إلى قاعدة بيانات جغرافية. تحتوي مجموعات البيانات النقطية أحادية البت على طبقات هرمية 8 بت عند تخزينها في نظام ملفات ، ولكن في قاعدة بيانات جغرافية ، يمكن أن تحتوي مجموعات البيانات النقطية 1 بت فقط على طبقات هرمية 1 بت ، مما يجعل العرض غير سار. بتحويل البيانات إلى 8 بت في قاعدة بيانات جغرافية ، يتم إنشاء طبقات الهرم على هيئة 8 بت بدلاً من 1 بت ، مما ينتج عنه مجموعة بيانات نقطية مناسبة في الشاشة.

• لم يتم التحقق منه - لن يتم إجراء أي تحويل. هذا هو الافتراضي.

• تم التحديد - سيتم تحويل البيانات النقطية المدخلة.

Mosaicking Tolerance (optional)

When mosaicking takes place, the target and the source pixels do not always line up exactly. When there is a misalignment of pixels, a decision needs to be made whether resampling takes place or whether the data should be shifted. The mosaicking tolerance controls whether resampling of the pixels take place or if the pixels should be shifted.

If the difference in pixel alignment (of the incoming dataset and the target dataset) is greater than the tolerance, resampling will take place. If the difference in pixel alignment (of the incoming dataset and the target dataset) is less than the tolerance, resampling will not take place (instead, a shift is performed).

The unit of tolerance is a pixel, where the valid value range is 0 to 0.5. A tolerance of 0.5 will guarantee a shift takes place. A tolerance of zero guarantees resampling, if there is a misalignment in pixels.

For example, the source and target pixels have a misalignment of 0.25. If the mosaicking tolerance is set to 0.2, then resampling will take place since the pixel misalignment is greater than the tolerance. If the mosaicking tolerance is set to 0.3, then the pixels will be shifted.

Color Matching Method (optional)

Choose the color matching method to apply to the rasters.

·      NONE—This option will not use the color matching operation when mosaicking your raster datasets.

·      STATISTIC_MATCHING—This method will use descriptive statistics from the overlapping areas; the transformation will then be applied to the entire target dataset.

·      HISTOGRAM_MATCHING—This method will match the histogram from the reference overlap area to the source overlap area; the transformation will then be applied to the entire target dataset.

·      LINEARCORRELATION_MATCHING—This method will match overlapping pixels and interpolate the rest of the source dataset; pixels without a one-to-one relationship will use a weighted average.

8.    Mosaicking Tolerance (optional) تسامح دمج الصور (اختياري)

When mosaicking takes place, the target and the source pixels do not always line up exactly. When there is a misalignment of pixels, a decision needs to be made whether resampling takes place or whether the data should be shifted. The mosaicking tolerance controls whether resampling of the pixels take place or if the pixels should be shifted.

If the difference in pixel alignment (of the incoming dataset and the target dataset) is greater than the tolerance, resampling will take place. If the difference in pixel alignment (of the incoming dataset and the target dataset) is less than the tolerance, resampling will not take place (instead, a shift is performed).

The unit of tolerance is a pixel, where the valid value range is 0 to 0.5. A tolerance of 0.5 will guarantee a shift takes place. A tolerance of zero guarantees resampling, if there is a misalignment in pixels.

For example, the source and target pixels have a misalignment of 0.25. If the mosaicking tolerance is set to 0.2, then resampling will take place since the pixel misalignment is greater than the tolerance. If the mosaicking tolerance is set to 0.3, then the pixels will be shifted.

عند حدوث دمج للصور ، لا يصطف الهدف ووحدات البكسل المصدر تمامًا دائمًا. عندما يكون هناك اختلال في محاذاة وحدات البكسل ، يجب اتخاذ قرار بشأن ما إذا كانت إعادة التشكيل ستتم أو ما إذا كان يجب نقل البيانات. يتحكم تفاوت دمج الصور في حدوث إعادة تشكيل وحدات البكسل أو ما إذا كان يجب إزاحة وحدات البكسل.

إذا كان الاختلاف في محاذاة البكسل (لمجموعة البيانات الواردة ومجموعة البيانات الهدف) أكبر من التفاوت المسموح به ، فسيتم إجراء إعادة التشكيل. إذا كان الاختلاف في محاذاة البكسل (لمجموعة البيانات الواردة ومجموعة البيانات الهدف) أقل من التفاوت المسموح به ، فلن تتم إعادة التشكيل (بدلاً من ذلك ، يتم إجراء تحول).

وحدة التسامح هي بكسل ، حيث يتراوح نطاق القيمة الصالحة من 0 إلى 0.5. سيضمن التسامح 0.5 حدوث التحول. يضمن التسامح الصفري إعادة التشكيل ، إذا كان هناك محاذاة غير صحيحة في البكسل.

على سبيل المثال ، تمت محاذاة وحدات البكسل المصدر والهدف بمقدار 0.25. إذا تم ضبط تفاوت دمج الصور على 0.2 ، فستحدث إعادة التشكيل نظرًا لأن المحاذاة الخاطئة للبكسل أكبر من التفاوت المسموح به. إذا تم ضبط تفاوت دمج الصور على 0.3 ، فسيتم إزاحة وحدات البكسل.

Color Matching Method (optional)

Choose the color matching method to apply to the rasters.

·      NONE—This option will not use the color matching operation when mosaicking your raster datasets.

·      STATISTIC_MATCHING—This method will use descriptive statistics from the overlapping areas; the transformation will then be applied to the entire target dataset.

·      HISTOGRAM_MATCHING—This method will match the histogram from the reference overlap area to the source overlap area; the transformation will then be applied to the entire target dataset.

·      LINEARCORRELATION_MATCHING—This method will match overlapping pixels and interpolate the rest of the source dataset; pixels without a one-to-one relationship will use a weighted average.

9.    Color Matching Method (optional) طريقة مطابقة الألوان (اختياري)

Choose the color matching method to apply to the rasters.

· NONE—This option will not use the color matching operation when mosaicking your raster datasets.

· STATISTIC_MATCHING—This method will use descriptive statistics from the overlapping areas; the transformation will then be applied to the entire target dataset.

· HISTOGRAM_MATCHING—This method will match the histogram from the reference overlap area to the source overlap area; the transformation will then be applied to the entire target dataset.

· LINEARCORRELATION_MATCHING—This method will match overlapping pixels and interpolate the rest of the source dataset; pixels without a one-to-one relationship will use a weighted average.

اختر طريقة مطابقة الألوان لتطبيقها على البيانات النقطية.

• NONE - لن يستخدم هذا الخيار عملية مطابقة الألوان عند تجميع مجموعات البيانات النقطية.

• المطابقة الإحصائية - ستستخدم هذه الطريقة الإحصائيات الوصفية من المناطق المتداخلة ؛ سيتم بعد ذلك تطبيق التحويل على مجموعة البيانات المستهدفة بأكملها.

• مطابقة الرسم البياني - ستطابق هذه الطريقة الرسم البياني من منطقة تداخل المرجع إلى منطقة تداخل المصدر ؛ سيتم بعد ذلك تطبيق التحويل على مجموعة البيانات المستهدفة بأكملها.

• تطابق خطي - ستطابق هذه الطريقة وحدات البكسل المتداخلة وتقوم بإقحام بقية مجموعة البيانات المصدر ؛ ستستخدم وحدات البكسل التي لا تحتوي على علاقة رأس برأس المتوسط المرجح.

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