Compute
Tie Points Tool
أداة حساب نقاط
الربط
ArcMap ArcGIS
How to Compute Tie Points Tool in Arc Toolbox ArcMap ArcGIS??
كيفية استخدام أداة حساب نقاط الربط ؟؟
Path
to access the toolمسار الوصول الى الأداة
:
Compute
Tie Points Tool, Ortho Mapping Toolset, Raster
Box, Data Management Tools Toolbox
Compute Tie Points
Computes the tie points
between overlapped mosaic dataset items. The tie points can then be used to
compute the block adjustments for the mosaic dataset.
لحساب نقاط الربط بين عناصر مجموعة بيانات
دمج الصور المتداخلة. يمكن بعد ذلك استخدام نقاط الربط لحساب تعديلات الكتلة
لمجموعة بيانات دمج الصور.
1.
Input Mosaic Dataset أدخل مجموعة
بيانات دمج الصور
The input mosaic dataset
that will be used to create tie points.
مجموعة بيانات دمج الصور المدخلة التي سيتم
استخدامها لإنشاء نقاط ربط.
Output
Control Point Table
The output control point table. The table will contain the tie points
created by this tool.
Similarity
(optional)
Specifies the similarity level for matching tie points.
· LOW—The similarity criteria for the two matching points will be low. This
option will produce the most matching points, but some of the matches may have
a higher level of error.
· MEDIUM—The similarity criteria for the matching points will be medium.
· HIGH—The similarity criteria for the matching points will be high. This
option will produce the least number of matching points, but each matching will
have a lower level of error.
Input Mask
(optional)
A polygon feature class used to exclude areas you do not want in the
computation of control points.
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.
Point
Density (optional)
The number of tie points to be created.
· LOW—Set the density of points to be low. This will create the fewest
number of tie points.
· MEDIUM—Set the density of points to be medium. This will create a moderate
number of points.
· HIGH—Set the density of points to be high. This will create the highest
number of points.
Point
Distribution (optional)
Specifies whether the points will have regular or random distribution.
· RANDOM—Points are generated randomly. Randomly generated points are better
for overlapping areas with irregular shapes.
· REGULAR—Points are generated based on a fixed pattern. Points based on a
fixed pattern use the point density to determine how frequently to create
points.
Image
Location Accuracy (optional)
Specifies the keyword that describes the accuracy of the imagery.
· LOW—Images have a large shift and a large rotation (> 5 degrees).The
SIFT algorithm will be used in the point-matching computation.
· MEDIUM—Images have a medium shift and a small rotation (<5 degrees).The
Harris algorithm will be used in the point-matching computation.
· HIGH—Images have a small shift and a small rotation.The Harris algorithm
will be used in the point-matching computation.
Output
Image Features (optional)
The output image feature points table. This will be saved as a polygon
feature class. This output can be quite large.
2.
Output Control Point Table جدول
نقطة التحكم المخرجة
The output control point
table. The table will contain the tie points created by this tool.
جدول نقطة التحكم في الإخراج. سيحتوي الجدول على
نقاط التعادل التي أنشأتها هذه الأداة.
Similarity
(optional)
Specifies the similarity level for matching tie points.
· LOW—The similarity criteria for the two matching points will be low. This
option will produce the most matching points, but some of the matches may have
a higher level of error.
· MEDIUM—The similarity criteria for the matching points will be medium.
· HIGH—The similarity criteria for the matching points will be high. This
option will produce the least number of matching points, but each matching will
have a lower level of error.
Input Mask
(optional)
A polygon feature class used to exclude areas you do not want in the
computation of control points.
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.
Point
Density (optional)
The number of tie points to be created.
· LOW—Set the density of points to be low. This will create the fewest number
of tie points.
· MEDIUM—Set the density of points to be medium. This will create a moderate
number of points.
· HIGH—Set the density of points to be high. This will create the highest
number of points.
Point
Distribution (optional)
Specifies whether the points will have regular or random distribution.
· RANDOM—Points are generated randomly. Randomly generated points are better
for overlapping areas with irregular shapes.
· REGULAR—Points are generated based on a fixed pattern. Points based on a
fixed pattern use the point density to determine how frequently to create
points.
Image
Location Accuracy (optional)
Specifies the keyword that describes the accuracy of the imagery.
· LOW—Images have a large shift and a large rotation (> 5 degrees).The
SIFT algorithm will be used in the point-matching computation.
· MEDIUM—Images have a medium shift and a small rotation (<5 degrees).The
Harris algorithm will be used in the point-matching computation.
· HIGH—Images have a small shift and a small rotation.The Harris algorithm
will be used in the point-matching computation.
Output
Image Features (optional)
The output image feature points table. This will be saved as a polygon
feature class. This output can be quite large.
3.
Similarity (optional) التشابه
(اختياري)
Specifies the similarity
level for matching tie points.
·
LOW—The similarity criteria for the two matching points will be
low. This option will produce the most matching points, but some of the matches
may have a higher level of error.
·
MEDIUM—The similarity criteria for the matching points will be
medium.
·
HIGH—The similarity criteria for the matching points will be high.
This option will produce the least number of matching points, but each matching
will have a lower level of error.
يحدد مستوى التشابه لمطابقة نقاط التعادل.
• منخفض - ستكون معايير
التشابه لنقطتي المطابقة منخفضة. سينتج عن هذا الخيار أكبر عدد من النقاط المطابقة
، ولكن قد يكون لبعض التطابقات مستوى أعلى من الخطأ.
• متوسط - ستكون معايير
التشابه لنقاط المطابقة متوسطة.
• عالية - ستكون معايير
التشابه لنقاط المطابقة عالية. سينتج عن هذا الخيار أقل عدد من نقاط المطابقة ،
ولكن كل مطابقة سيكون لها مستوى خطأ أقل.
Input Mask
(optional)
A polygon feature class used to exclude areas you do not want in the
computation of control points.
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.
Point
Density (optional)
The number of tie points to be created.
· LOW—Set the density of points to be low. This will create the fewest
number of tie points.
· MEDIUM—Set the density of points to be medium. This will create a moderate
number of points.
· HIGH—Set the density of points to be high. This will create the highest
number of points.
Point
Distribution (optional)
Specifies whether the points will have regular or random distribution.
· RANDOM—Points are generated randomly. Randomly generated points are better
for overlapping areas with irregular shapes.
· REGULAR—Points are generated based on a fixed pattern. Points based on a
fixed pattern use the point density to determine how frequently to create
points.
Image
Location Accuracy (optional)
Specifies the keyword that describes the accuracy of the imagery.
· LOW—Images have a large shift and a large rotation (> 5 degrees).The
SIFT algorithm will be used in the point-matching computation.
· MEDIUM—Images have a medium shift and a small rotation (<5 degrees).The
Harris algorithm will be used in the point-matching computation.
· HIGH—Images have a small shift and a small rotation.The Harris algorithm
will be used in the point-matching computation.
Output
Image Features (optional)
The output image feature points table. This will be saved as a polygon
feature class. This output can be quite large.
4.
Input Mask (optional) أدخل الغلاف
A polygon feature class
used to exclude areas you do not want in the computation of control points.
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 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.
Point
Density (optional)
The number of tie points to be created.
· LOW—Set the density of points to be low. This will create the fewest
number of tie points.
· MEDIUM—Set the density of points to be medium. This will create a moderate
number of points.
· HIGH—Set the density of points to be high. This will create the highest
number of points.
Point
Distribution (optional)
Specifies whether the points will have regular or random distribution.
· RANDOM—Points are generated randomly. Randomly generated points are better
for overlapping areas with irregular shapes.
· REGULAR—Points are generated based on a fixed pattern. Points based on a
fixed pattern use the point density to determine how frequently to create
points.
Image
Location Accuracy (optional)
Specifies the keyword that describes the accuracy of the imagery.
· LOW—Images have a large shift and a large rotation (> 5 degrees).The
SIFT algorithm will be used in the point-matching computation.
· MEDIUM—Images have a medium shift and a small rotation (<5 degrees).The
Harris algorithm will be used in the point-matching computation.
· HIGH—Images have a small shift and a small rotation.The Harris algorithm
will be used in the point-matching computation.
Output
Image Features (optional)
The output image feature points table. This will be saved as a polygon
feature class. This output can be quite large.
5.
Point Density (optional) كثافة
النقطة (اختياري)
The number of tie points
to be created.
·
LOW—Set the density of points to be low. This will create the
fewest number of tie points.
·
MEDIUM—Set the density of points to be medium. This will create a
moderate number of points.
·
HIGH—Set the density of points to be high. This will create the
highest number of points.
عدد نقاط التعادل التي سيتم إنشاؤها.
• منخفض - اضبط كثافة
النقاط على أن تكون منخفضة. سيؤدي هذا إلى إنشاء أقل عدد من نقاط التعادل.
• متوسط - اضبط كثافة
النقاط على أن تكون متوسطة. سيؤدي هذا إلى إنشاء عدد معتدل من النقاط.
• عالية - اضبط كثافة
النقاط على أن تكون عالية. سيؤدي هذا إلى إنشاء أكبر عدد من النقاط.
Point
Distribution (optional)
Specifies whether the points will have regular or random distribution.
· RANDOM—Points are generated randomly. Randomly generated points are better
for overlapping areas with irregular shapes.
· REGULAR—Points are generated based on a fixed pattern. Points based on a
fixed pattern use the point density to determine how frequently to create
points.
Image
Location Accuracy (optional)
Specifies the keyword that describes the accuracy of the imagery.
· LOW—Images have a large shift and a large rotation (> 5 degrees).The
SIFT algorithm will be used in the point-matching computation.
· MEDIUM—Images have a medium shift and a small rotation (<5 degrees).The
Harris algorithm will be used in the point-matching computation.
· HIGH—Images have a small shift and a small rotation.The Harris algorithm
will be used in the point-matching computation.
Output
Image Features (optional)
The output image feature points table. This will be saved as a polygon
feature class. This output can be quite large.
6.
Point Distribution (optional) توزيع
النقاط (اختياري)
Specifies whether the
points will have regular or random distribution.
·
RANDOM—Points are generated randomly. Randomly generated points
are better for overlapping areas with irregular shapes.
·
REGULAR—Points are generated based on a fixed pattern. Points
based on a fixed pattern use the point density to determine how frequently to
create points.
يحدد ما إذا كان سيتم توزيع النقاط بشكل منتظم أم
عشوائي.
• عشوائي — يتم إنشاء
النقاط بشكل عشوائي. تعتبر النقاط التي تم إنشاؤها عشوائيًا أفضل بالنسبة إلى
المساحات المتداخلة ذات الأشكال غير المنتظمة.
• ثابت - يتم إنشاء
النقاط بناءً على نمط ثابت. تستخدم النقاط المبنية على نمط ثابت كثافة النقطة
لتحديد مدى تكرار إنشاء النقاط.
Image
Location Accuracy (optional)
Specifies the keyword that describes the accuracy of the imagery.
· LOW—Images have a large shift and a large rotation (> 5 degrees).The
SIFT algorithm will be used in the point-matching computation.
· MEDIUM—Images have a medium shift and a small rotation (<5 degrees).The
Harris algorithm will be used in the point-matching computation.
· HIGH—Images have a small shift and a small rotation.The Harris algorithm
will be used in the point-matching computation.
Output
Image Features (optional)
The output image feature points table. This will be saved as a polygon
feature class. This output can be quite large.
7.
Image Location Accuracy (optional) دقة
موقع الصورة (اختياري)
Specifies the keyword
that describes the accuracy of the imagery.
·
LOW—Images have a large shift and a large rotation (> 5
degrees).The SIFT algorithm will be used in the point-matching computation.
·
MEDIUM—Images have a medium shift and a small rotation (<5
degrees).The Harris algorithm will be used in the point-matching computation.
·
HIGH—Images have a small shift and a small rotation.The Harris
algorithm will be used in the point-matching computation.
تحدد الكلمة الأساسية التي تصف دقة الصور.
• ضعيف - للصور تحول كبير
ودوران كبير (> 5 درجات). سيتم استخدام خوارزمية SIFT في
حساب مطابقة النقاط.
• متوسط - الصور لها تحول
متوسط ودوران صغير (أقل من 5 درجات). سيتم استخدام خوارزمية هاريس في حساب مطابقة
النقاط.
• عالية - الصور لها تحول
صغير ودوران صغير. سيتم استخدام خوارزمية هاريس في حساب مطابقة النقاط.
8.
Output Image Features (optional) ميزات
صورة الإخراج (اختياري)
The output image feature points table. This will
be saved as a polygon feature class. This output can be quite large.
جدول نقاط ميزة الصورة الناتجة. سيتم حفظ هذا كفئة معلم مضلع. يمكن
أن يكون هذا الإخراج كبيرًا جدًا.
اليك صفحه ومجموعة على الفيس بوك لتعلم أكثر بما يخص نظم المعلومات الجغرافية (GIS) و برنامج ArcGIS Pro من خلال هذه الروابط:
مجموعة على الفيس بوك
ArcGIS Pro من
هنا.
مجموعة على الفيس بوك
GIS for WE - ArcGIS Pro من
هنا.صفحة الفيس بوك
GIS for WE من
هنا.
تعليقات
إرسال تعليق