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.
© (2007) Society of Photo-Optical Instrumentation Engineers (SPIE)
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 . Submission:
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