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arXiv · 1602.05660

Feature-Area Optimization: A Novel SAR Image Registration Method

Fuqiang Liu·Fukun Bi·Liang Chen·Hao Shi·Wei Liu
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Abstract

This letter proposes a synthetic aperture radar (SAR) image registration method named Feature-Area Optimization (FAO). First, the traditional area-based optimization model is reconstructed and decomposed into three key but uncertain factors: initialization, slice set and regularization. Next, structural features are extracted by scale invariant feature transform (SIFT) in dual-resolution space (SIFT-DRS), a novel SIFT-Like method dedicated to FAO. Then, the three key factors are determined based on these features. Finally, solving the factor-determined optimization model can get the registration result. A series of experiments demonstrate that the proposed method can register multi-temporal SAR images accurately and efficiently.

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Fuqiang Liu, Fukun Bi, Liang Chen, Hao Shi, Wei Liu. 2016-02-18. Feature-Area Optimization: A Novel SAR Image Registration Method. https://doi.org/10.1109/lgrs.2015.2507982

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