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논문검색

Extracting Method of Control Point Pairs for Remote Sensing Image Based on Regional Matching

초록

영어

Remote sensing image registration is the basis of remote sensing image mosaic and fusion, while extracting appropriate control point pairs have great significance to establish the mapping relationship for registration of two remote sensing images. An automatic extracting method of control point pairs is proposed. Firstly, it determines the common areas of two images and divides them into blocks uniformly. The corresponding blocks of the two images are marked with the same sequence number to establish the one-to-one regional matching relation. Then, for each block, the multi-scale Harris corner detection method is adopted to detect image features which are described by feature descriptors of SIFT algorithm. Finally the regional matching strategy is performed to match the features. Experiments show that the proposed method can extract control point pairs with reasonable distribution and high precision, and these point pairs conduct to improve the precision of remote sensing image matching.

목차

Abstract
 1. Introduction
 2. Procedure of extracting method
 3. Implementing Technologies
  3.1. Remote sensing image division
  3.2. Multi-scale Harris corner detection
  3.3. Describing Harris corner by SIFT feature descriptor
  3.4. Regional matching
 4. Experiment and analysis
  4.1. Low resolution remote sensing image
  4.2. Medium resolution remote sensing image
  4.3. High resolution remote sensing image
 5. Conclusions
 Acknowledgements
 References

저자정보

  • Ying Xia Research Center of Spatial Information System, Chongqing University of Posts and Telecommunications
  • Xiaoying Tan Research Center of Spatial Information System, Chongqing University of Posts and Telecommunications

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