SAR image statistics and adaptive signal processing for change detection

Viet T. Vu; Renato Machado; Mats I. Pettersson; Patrik Dammert; Hans Hellsten

doi:10.1117/12.2176774

13 May 2015 SAR image statistics and adaptive signal processing for change detection

Viet T. Vu, Renato Machado, Mats I. Pettersson, Patrik Dammert, Hans Hellsten

Proceedings Volume 9475, Algorithms for Synthetic Aperture Radar Imagery XXII; 947509 (2015) https://doi.org/10.1117/12.2176774
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

The paper represents investigations on SAR image statistics and adaptive signal processing for change detection. The investigations show that the amplitude distributions of SAR images with possibly detected changes, that is retrieved with a linear subtraction operator, can approximately be represented by the probability density function of the Gaussian or normal distribution. This allows emerging the idea to use the available adaptive signal processing techniques for change detection. The experiments indicate the promising change detection results obtained with an adaptive line enhancer, one of the adaptive signal processing technique. The experiments are conducted on the data collected by CARABAS, a UWB low frequency SAR system.

Citation Download Citation

Viet T. Vu, Renato Machado, Mats I. Pettersson, Patrik Dammert, and Hans Hellsten "SAR image statistics and adaptive signal processing for change detection", Proc. SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, 947509 (13 May 2015); https://doi.org/10.1117/12.2176774

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