1 August 2007 Change detection in synthetic aperture radar images using a spatially chaotic model
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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.
Yu-Chang Tzeng, Kun-Shan Chen, "Change detection in synthetic aperture radar images using a spatially chaotic model," Optical Engineering 46(8), 086202 (1 August 2007). https://doi.org/10.1117/1.2771146
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