ICIG 2015: Image and Graphics pp 600-610 | Cite as

Object-Based Multi-mode SAR Image Matching

  • Jie Rui
  • Chao Wang
  • Hong Zhang
  • Bo Zhang
  • Fan Wang
  • Fei Jin
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9218)

Abstract

Owing to the effect of imaging mechanism and imaging conditions in synthetic aperture radar (SAR) image, inconsistent features and relationship correspondence constitute key problems using traditional image matching algorithms because of significant differences between the images. This study proposes an object-based SAR image matching method. Two images are matched through same ground objects, by means of property and shape information of objects, which are obtained via object extraction and morphological operations. We utilize a shape context descriptor to compare contours of objects and detected invariant control points. The experimental results show that the proposed method achieves reliable and stable matching performance, and can alleviate deformation and nonlinear distortion effects of different systems.

Keywords

Image matching Object-based Shape matching Shape context 
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Notes

Acknowledgment

This work is supported by the National Natural Science Foundation of China (No. 41331176, No. 41271425).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Jie Rui
    • 1
    • 2
    • 3
  • Chao Wang
    • 1
  • Hong Zhang
    • 1
  • Bo Zhang
    • 1
  • Fan Wang
    • 3
  • Fei Jin
    • 3
  1. 1.Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina
  2. 2.University of Chinese Academy of SciencesBeijingChina
  3. 3.Zhengzhou Institute of Surveying and MappingZhengzhouChina

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