Analyze Control Points Tool
أداة تحليل نقاط
التحكم
ArcMap ArcGIS
How to Analyze Control
Points Tool in Arc Toolbox ArcMap ArcGIS??
كيفية استخدام أداة تحليل نقاط التحكم ؟؟
Path
to access the toolمسار الوصول الى الأداة
:
Analyze
Control Points Tool, Ortho Mapping Toolset, Raster
Box, Data Management Tools Toolbox
Analyze Control Points
Analyzes the control
point coverage and identifies the areas that need additional control points to
improve the block adjust result.
The tool will check each
image and provide the following:
·
The number of control points for each image
·
The percentage of image covered by the control points (point
distribution)
·
The overlap areas
·
The number of control points within overlap areas
يحلل تغطية نقطة التحكم ويحدد المناطق التي تحتاج
إلى نقاط تحكم إضافية لتحسين نتيجة ضبط الكتلة.
ستتحقق الأداة من كل صورة وتوفر ما يلي:
• عدد نقاط التحكم لكل
صورة
• النسبة المئوية للصورة
التي تغطيها نقاط التحكم (توزيع النقاط)
• مناطق التداخل
• عدد نقاط التحكم داخل
مناطق التداخل
1.
Input Mosaic Dataset مجموعة بيانات
دمج الصور المدخلة
The input mosaic dataset against which to
analyze the control points.
مجموعة بيانات المدخلات دمج الصور لتحليل نقاط التحكم على أساسها.
2.
Input Control Points نقاط التحكم
المدخلة
The input control point
feature class.
It is normally created
from the Compute Tie Points or the Compute Control Points tool.
فئة ميزة نقطة التحكم في الإدخال.
يتم إنشاؤه عادةً من حساب نقاط التعادل أو أداة
حساب نقاط التحكم.
Output
Control Point Coverage Table
A polygon feature class output that contains the control point coverage
and the percentage of the area within the corresponding image.
Output
Overlap Feature Class (optional)
A polygon feature class output that contains all the overlap areas between
images.
Input Mask
(optional)
A polygon feature class used to exclude areas that you do not want in the
analysis of the control points computation.
A field with a name of mask can control the inclusion or exclusion of
areas. A value of 1 indicates that the areas defined by the polygons (inside)
will be excluded from the computation. A value of 2 indicates the defined
polygons (inside) will be included in the computation while areas outside of
the polygons will be excluded.
Minimum
Overlap Area (optional)
Specify the minimum percent that the overlap area must be, in relation to
the image. Areas that are lower than the specified percent threshold will be
excluded from the analysis.
Ensure that you do not have areas that are too small; otherwise, you will
have small slivers being analyzed.
Maximum
Overlap Level (optional)
The maximum number of images that can be overlapped when analyzing the
control points.
For example, if there are four images in your mosaic dataset, and a
maximum overlap value of 3 was specified, then there are ten different
combinations that will appear in the Overlap Window. If the four images were
named i1, i2, i3, and i4, the ten combinations that would appear are [i1, i2,
i3], [i1 i2 i4], [i1 i3 i4], [i2 i3 i4], [i1, i2], [i1, i3], [i1, i4], [i2,
i3], [i2, i4], and [i3, i4].
3.
Output Control Point Coverage Table جدول تغطية نقطة التحكم في الإخراج
A polygon feature class
output that contains the control point coverage and the percentage of the area
within the corresponding image.
ناتج فئة معلم مضلع يحتوي على تغطية نقطة التحكم
والنسبة المئوية للمساحة داخل الصورة المقابلة.
Output
Overlap Feature Class (optional)
A polygon feature class output that contains all the overlap areas between
images.
Input Mask
(optional)
A polygon feature class used to exclude areas that you do not want in the
analysis of the control points computation.
A field with a name of mask can control the inclusion or exclusion of
areas. A value of 1 indicates that the areas defined by the polygons (inside)
will be excluded from the computation. A value of 2 indicates the defined
polygons (inside) will be included in the computation while areas outside of
the polygons will be excluded.
Minimum
Overlap Area (optional)
Specify the minimum percent that the overlap area must be, in relation to
the image. Areas that are lower than the specified percent threshold will be
excluded from the analysis.
Ensure that you do not have areas that are too small; otherwise, you will
have small slivers being analyzed.
Maximum
Overlap Level (optional)
The maximum number of images that can be overlapped when analyzing the
control points.
For example, if there are four images in your mosaic dataset, and a
maximum overlap value of 3 was specified, then there are ten different
combinations that will appear in the Overlap Window. If the four images were
named i1, i2, i3, and i4, the ten combinations that would appear are [i1, i2,
i3], [i1 i2 i4], [i1 i3 i4], [i2 i3 i4], [i1, i2], [i1, i3], [i1, i4], [i2,
i3], [i2, i4], and [i3, i4].
4.
Output Overlap Feature Class (optional) فئة ميزة تداخل الإخراج (اختياري)
A polygon feature class
output that contains all the overlap areas between images.
ناتج فئة معلم مضلع يحتوي على جميع مناطق التداخل
بين الصور.
Input Mask
(optional)
A polygon feature class used to exclude areas that you do not want in the
analysis of the control points computation.
A field with a name of mask can control the inclusion or exclusion of
areas. A value of 1 indicates that the areas defined by the polygons (inside)
will be excluded from the computation. A value of 2 indicates the defined
polygons (inside) will be included in the computation while areas outside of
the polygons will be excluded.
Minimum
Overlap Area (optional)
Specify the minimum percent that the overlap area must be, in relation to
the image. Areas that are lower than the specified percent threshold will be
excluded from the analysis.
Ensure that you do not have areas that are too small; otherwise, you will
have small slivers being analyzed.
Maximum
Overlap Level (optional)
The maximum number of images that can be overlapped when analyzing the
control points.
For example, if there are four images in your mosaic dataset, and a
maximum overlap value of 3 was specified, then there are ten different
combinations that will appear in the Overlap Window. If the four images were
named i1, i2, i3, and i4, the ten combinations that would appear are [i1, i2,
i3], [i1 i2 i4], [i1 i3 i4], [i2 i3 i4], [i1, i2], [i1, i3], [i1, i4], [i2,
i3], [i2, i4], and [i3, i4].
5.
Input Mask (optional) قناع الإدخال
(اختياري)
A polygon feature class
used to exclude areas that you do not want in the analysis of the control
points computation.
A field with a name of
mask can control the inclusion or exclusion of areas. A value of 1 indicates
that the areas defined by the polygons (inside) will be excluded from the
computation. A value of 2 indicates the defined polygons (inside) will be
included in the computation while areas outside of the polygons will be
excluded.
يتم استخدام فئة معلم المضلع لاستبعاد المناطق
التي لا تريدها في تحليل حساب نقاط التحكم.
يمكن أن يتحكم الحقل الذي يحمل اسم القناع في
تضمين المناطق أو استبعادها. تشير القيمة 1 إلى أن المناطق المحددة بواسطة
المضلعات (في الداخل) سيتم استبعادها من الحساب. تشير القيمة 2 إلى أن المضلعات
المحددة (في الداخل) سيتم تضمينها في الحساب بينما سيتم استبعاد المناطق خارج
المضلعات.
Minimum
Overlap Area (optional)
Specify the minimum percent that the overlap area must be, in relation to
the image. Areas that are lower than the specified percent threshold will be
excluded from the analysis.
Ensure that you do not have areas that are too small; otherwise, you will
have small slivers being analyzed.
Maximum
Overlap Level (optional)
The maximum number of images that can be overlapped when analyzing the
control points.
For example, if there are four images in your mosaic dataset, and a
maximum overlap value of 3 was specified, then there are ten different
combinations that will appear in the Overlap Window. If the four images were
named i1, i2, i3, and i4, the ten combinations that would appear are [i1, i2,
i3], [i1 i2 i4], [i1 i3 i4], [i2 i3 i4], [i1, i2], [i1, i3], [i1, i4], [i2,
i3], [i2, i4], and [i3, i4].
6.
Minimum Overlap Area (optional) الحد
الأدنى من مساحة التداخل (اختياري)
Specify the minimum
percent that the overlap area must be, in relation to the image. Areas that are
lower than the specified percent threshold will be excluded from the analysis.
Ensure that you do not
have areas that are too small; otherwise, you will have small slivers being
analyzed.
حدد النسبة المئوية الدنيا التي يجب أن تكون عليها
مساحة التداخل ، بالنسبة للصورة. سيتم استبعاد المناطق الأقل من عتبة النسبة
المئوية المحددة من التحليل.
تأكد من عدم وجود مناطق صغيرة جدًا ؛ خلاف ذلك ،
سيكون لديك شظايا صغيرة يتم تحليلها.
Maximum
Overlap Level (optional)
The maximum number of images that can be overlapped when analyzing the
control points.
For example, if there are four images in your mosaic dataset, and a
maximum overlap value of 3 was specified, then there are ten different
combinations that will appear in the Overlap Window. If the four images were
named i1, i2, i3, and i4, the ten combinations that would appear are [i1, i2,
i3], [i1 i2 i4], [i1 i3 i4], [i2 i3 i4], [i1, i2], [i1, i3], [i1, i4], [i2,
i3], [i2, i4], and [i3, i4].
7.
Maximum Overlap Level (optional) الحد
الأقصى لمستوى التداخل (اختياري)
The maximum number of
images that can be overlapped when analyzing the control points.
For example, if there
are four images in your mosaic dataset, and a maximum overlap value of 3 was
specified, then there are ten different combinations that will appear in the
Overlap Window. If the four images were named i1, i2, i3, and i4, the ten
combinations that would appear are [i1, i2, i3], [i1 i2 i4], [i1 i3 i4], [i2 i3
i4], [i1, i2], [i1, i3], [i1, i4], [i2, i3], [i2, i4], and [i3, i4].
الحد الأقصى لعدد الصور التي يمكن أن تتداخل عند
تحليل نقاط التحكم.
على سبيل المثال ، إذا كانت هناك أربع صور في
مجموعة بيانات دمج الصور الخاصة بك ، وتم تحديد قيمة تداخل قصوى قدرها 3 ، فهناك
عشر مجموعات مختلفة ستظهر في نافذة التداخل. إذا تم تسمية الصور الأربع بـ i1 و i2 و i3 و i4 ، فإن
المجموعات العشر التي ستظهر هي [i1 ، i2 ، i3] ، [i1 i2 i4] ، [i1 i3 i4] ، [i2 i3 i4] ، [i1 و i2] و [i1 و i3] و [i1 و i4] و [i2 و i3] و [i2 و i4] و [i3 و i4].
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