A remote sensing image ground control point matching algorithm based on feature corner and dynamic template

2005 ◽  
Author(s):  
Xiaolian Deng ◽  
Xiangjun Li ◽  
Changyao Wang ◽  
Rong Yu
Keyword(s):  
Remote Sensing ◽  
Control Point ◽  
Remote Sensing Image ◽  
Ground Control ◽  
Point Matching ◽  
Ground Control Point ◽  
Matching Algorithm ◽  
Dynamic Template

Robust ground control point-matching algorithm for multichannel radar image geometric correction

2003 ◽  
Author(s):  
Gennady P. Kulemin ◽  
Andrei A. Kurekin ◽  
Alexander A. Zelensky ◽  
Vladimir V. Lukin
Keyword(s):  
Control Point ◽  
Radar Image ◽  
Ground Control ◽  
Geometric Correction ◽  
Point Matching ◽  
Ground Control Point ◽  
Matching Algorithm

No ground control point making the orthophoto for the UAV remote sensing system

2007 ◽  
Author(s):  
Hongying Zhao ◽  
Zhiyang Gou ◽  
Pengqi Gao ◽  
Yinqian Cheng
Keyword(s):  
Remote Sensing ◽  
Control Point ◽  
Ground Control ◽  
Ground Control Point ◽  
Sensing System

An Optimization Method on Ground Control Point Distribution

2011 ◽  
Vol 268-270 ◽  
pp. 1092-1095
Author(s):  
Guang Yang ◽  
Wei Li Jiao
Keyword(s):  
Remote Sensing ◽  
Control Point ◽  
Optimization Method ◽  
Ground Control ◽  
Geometric Correction ◽  
Importance Value ◽  
Point Distribution ◽  
Ground Control Point ◽  
Thiessen Polygon ◽  
Automatic Optimization

With the development of remote sensing, the data quantity of remote sensing image is increasing tremendously. It brings a huge workload to the image geometric correction through manual ground control point (GCP) selection. GCPs automatically selected based on software is one of the effective methods to cut down manual operation. The GCPs obtained from that way is generally redundant. This paper deeply comprehends some existing methods about automatic optimization of GCP, and puts forward a new method of automatic optimization of GCP based on Thiessen Polygon to filter ground control points from the overfull ones without manual subjectivity for better accuracy. Experiments in this paper also demonstrated the relationship between the accuracy of geometric correction and the distribution of GCP. It advances the conception of single GCP’s importance value based on Thiessen Polygon. The paper gives the theory and the flow of automatic optimization of GCPs as well. It also presents an example of the application of this method. In the conclusion, this paper points out the advantages of this method .

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