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Journal of Applied Remote Sensing

Hierarchical model-based interferometric synthetic aperture radar image registration
Author(s): Yang Wang; Haifeng Huang; Zhen Dong; Manqing Wu
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Paper Abstract

With the rapid development of spaceborne interferometric synthetic aperture radar technology, classical image registration methods are incompetent for high-efficiency and high-accuracy masses of real data processing. Based on this fact, we propose a new method. This method consists of two steps: coarse registration that is realized by cross-correlation algorithm and fine registration that is realized by hierarchical model-based algorithm. Hierarchical model-based algorithm is a high-efficiency optimization algorithm. The key features of this algorithm are a global model that constrains the overall structure of the motion estimated, a local model that is used in the estimation process, and a coarse-to-fine refinement strategy. Experimental results from different kinds of simulated and real data have confirmed that the proposed method is very fast and has high accuracy. Comparing with a conventional cross-correlation method, the proposed method provides markedly improved performance.

Paper Details

Date Published: 1 July 2014
PDF: 13 pages
J. Appl. Remote Sens. 8(1) 083603 doi: 10.1117/1.JRS.8.083603
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Yang Wang, National Univ. of Defense Technology (China)
Haifeng Huang, National Univ. of Defense Technology (China)
Zhen Dong, National Univ. of Defense Technology (China)
Manqing Wu, National Univ. of Defense Technology (China)
China Electronics Technology Group Corp. (China)


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