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Proceedings Paper

On the appropriate feature for general SAR image registration
Author(s): Dong Li; Yunhua Zhang
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Paper Abstract

An investigation to the appropriate feature for SAR image registration is conducted. The commonly-used features such as tie points, Harris corner, the scale invariant feature transform (SIFT), and the speeded up robust feature (SURF) are comprehensively evaluated in terms of several criteria such as the geometrical invariance of feature, the extraction speed, the localization accuracy, the geometrical invariance of descriptor, the matching speed, the robustness to decorrelation, and the flexibility to image speckling. It is shown that SURF outperforms others. It is particularly indicated that SURF has good flexibility to image speckling because the Fast-Hessian detector of SURF has a potential relation with the refined Lee filter. It is recommended to perform SURF on the oversampled image with unaltered sampling step so as to improve the subpixel registration accuracy and speckle immunity. Thus SURF is more appropriate and competent for general SAR image registration.

Paper Details

Date Published: 21 November 2012
PDF: 13 pages
Proc. SPIE 8536, SAR Image Analysis, Modeling, and Techniques XII, 85360X (21 November 2012); doi: 10.1117/12.970520
Show Author Affiliations
Dong Li, Ctr. for Space Science and Applied Research (China)
Yunhua Zhang, Ctr. for Space Science and Applied Research (China)

Published in SPIE Proceedings Vol. 8536:
SAR Image Analysis, Modeling, and Techniques XII
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca, Editor(s)

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