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Proceedings Paper

SAR image statistics and adaptive signal processing for change detection
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Paper 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.

Paper Details

Date Published: 13 May 2015
PDF: 7 pages
Proc. SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, 947509 (13 May 2015); doi: 10.1117/12.2176774
Show Author Affiliations
Viet T. Vu, Blekinge Institute of Technology (Sweden)
Renato Machado, Blekinge Institute of Technology (Sweden)
Mats I. Pettersson, Blekinge Institute of Technology (Sweden)
Patrik Dammert, Saab Electronic Defence Systems (Sweden)
Hans Hellsten, Saab Electronic Defence Systems (Sweden)


Published in SPIE Proceedings Vol. 9475:
Algorithms for Synthetic Aperture Radar Imagery XXII
Edmund Zelnio; Frederick D. Garber, Editor(s)

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