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Optical Engineering

Change detection in synthetic aperture radar images using a spatially chaotic model
Author(s): Yu-Chang Tzeng; Kun-Shan Chen
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Paper Abstract

A new synthetic aperture radar (SAR) image change detection algorithm was developed using a spatially chaotic model for coherent SAR images. This algorithm is tolerant of misregistration even when the signal-to-noise ratio is low. Despeckling is unnecessary, making the method especially attractive wherever the radiometric changes are subtle. To demonstrate the algorithm's performance, a varied set of multitemporal polarimetric SAR images was used for testing. As a reference, the simple image difference (DI) technique and the principal-component analysis (PCA) were used for comparison. The proposed method performs very well and can detect minute changes despite the presence of speckle, for which both DI and PCA fail.

Paper Details

Date Published: 1 August 2007
PDF: 9 pages
Opt. Eng. 46(8) 086202 doi: 10.1117/1.2771146
Published in: Optical Engineering Volume 46, Issue 8
Show Author Affiliations
Yu-Chang Tzeng, National United Univ. (Taiwan)
Kun-Shan Chen, National Central Univ. (Taiwan)


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