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Remote Sens. 2016, 8(11), 923; doi:10.3390/rs8110923

Multi-Sensor SAR Image Registration Based on Object Shape

1,2,3
,
1,* , 1
and
3
1
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Beijing 100094, China
2
University of Chinese Academy of Science, Beijing 100049, China
3
Zhengzhou Institute of Surveying and Mapping, Zhengzhou 450052, China
*
Author to whom correspondence should be addressed.
Academic Editors: Iain H. Woodhouse, Gonzalo Pajares Martinsanz, Xiaofeng Li and Prasad S. Thenkabail
Received: 2 August 2016 / Revised: 14 October 2016 / Accepted: 25 October 2016 / Published: 5 November 2016
View Full-Text   |   Download PDF [3248 KB, uploaded 5 November 2016]   |  

Abstract

Owing to significant differences in synthetic aperture radar (SAR) images caused by diverse imaging mechanisms and imaging conditions, inconsistent features and relationship correspondences constitute key problems for traditional image registration algorithms. This study presents a novel SAR image registration method based on the shape information of distinct ground objects, which is obtained via object extraction and morphological operations. We utilize a shape context descriptor to compare the contours of objects and detect invariant control points. The experimental results show that the proposed method can achieve a reliable and stable registration performance for SAR images of different sensors. View Full-Text
Keywords: SAR image registration; object extraction; shape matching; shape context SAR image registration; object extraction; shape matching; shape context
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Rui, J.; Wang, C.; Zhang, H.; Jin, F. Multi-Sensor SAR Image Registration Based on Object Shape. Remote Sens. 2016, 8, 923.

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