Compute Control Points Tool
أداة حساب نقط التحكم
ArcMap ArcGIS
How to Compute Control
Points Tool in Arc Toolbox ArcMap ArcGIS??
كيفية استخدام أداة حساب نقط التحكم ؟؟
Path
to access the toolمسار الوصول الى الأداة
:
Compute
Control Points Tool, Ortho Mapping Toolset, Raster Box, Data Management Tools
Toolbox
Compute Control Points
Creates the control
points between the mosaic dataset and the reference image. The control points
can then be used in conjunction with tie points to compute the adjustments for
the mosaic dataset.
ينشئ نقاط التحكم بين مجموعة بيانات دمج الصور
والصورة المرجعية. يمكن بعد ذلك استخدام نقاط التحكم جنبًا إلى جنب مع نقاط الربط
لحساب التعديلات لمجموعة بيانات دمج الصور.
1.
Input Mosaic Dataset أدخل مجموعة
بيانات دمج الصور
The input mosaic dataset
that will be used to create control points.
مجموعة بيانات إدخال دمج الصور التي سيتم
استخدامها لإنشاء نقاط تحكم.
Input
Reference Images
The reference images that will be used to create control points for your
mosaic dataset. If you have multiple images, create a mosaic dataset from the
images and use the mosaic dataset as the reference.
Output
Control Point Table
The output control point table. This table will contain the control points
that were created.
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.
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.
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.
Area of
Interest (optional)
Limit the area in which tie points are generated to only this polygon
feature class.
2.
Input Reference Images إدخال الصور
المرجعية
The reference images
that will be used to create control points for your mosaic dataset. If you have
multiple images, create a mosaic dataset from the images and use the mosaic
dataset as the reference.
الصور المرجعية التي سيتم استخدامها لإنشاء نقاط
تحكم لمجموعة بيانات دمج الصور الخاصة بك. إذا كانت لديك صور متعددة ، فأنشئ
مجموعة بيانات فسيفساء من الصور واستخدم مجموعة بيانات دمج الصور كمرجع.
Output
Control Point Table
The output control point table. This table will contain the control points
that were created.
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.
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.
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.
Area of
Interest (optional)
Limit the area in which tie points are generated to only this polygon
feature class.
3.
Output Control Point Table جدول
نقطة التحكم الإخراج
The output control point
table. This table will contain the control points that were created.
جدول نقطة التحكم في الإخراج. سيحتوي هذا الجدول
على نقاط التحكم التي تم إنشاؤها.
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.
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.
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.
Area of
Interest (optional)
Limit the area in which tie points are generated to only this polygon
feature class.
4.
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.
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.
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.
Area of
Interest (optional)
Limit the area in which tie points are generated to only this polygon
feature class.
5.
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.
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.
Area of
Interest (optional)
Limit the area in which tie points are generated to only this polygon
feature class.
6.
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.
• ضعيف - 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.
Area of
Interest (optional)
Limit the area in which tie points are generated to only this polygon
feature class.
7.
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.
• REGULAR - 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.
Area of
Interest (optional)
Limit the area in which tie points are generated to only this polygon
feature class.
8.
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.
9.
Area of Interest (optional) منطقة
الاهتمام (اختياري)
Limit the area in which tie points are generated
to only this polygon feature class.
حدد المنطقة التي يتم فيها إنشاء نقاط الربط بفئة معلم المضلع فقط.
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.
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هنا.صفحة الفيس بوك
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هنا.
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