Title :
Change detection in multitemporal HR SAR images: A hypothesis test-based approach
Author :
Horta, Michelle M. ; Mascarenhas, Nelson D A ; Sportouche, H. ; Seichepine, N. ; Tupin, F. ; Nicolas, J.-M.
Author_Institution :
Comput. Dept., Fed. Univ. of Sao Carlos, Sao Carlos, Brazil
Abstract :
Starting with a comparison of state of the art criteria and the influence of filtering, this paper presents an analysis tool for multi-temporal SAR images. It is based on the detection of a step change pattern with a generalized maximum likelihood ratio test. Compared to previous works on similar subject, the proposed approach takes into account a filtering step by a non-local approach and a spatially varying equivalent number of looks. Performance analysis is first done on synthetic data and then results on a real data set are analyzed.
Keywords :
geophysical image processing; geophysical techniques; radar imaging; synthetic aperture radar; change detection; generalized maximum likelihood ratio test; hypothesis test-based approach; multitemporal HR SAR images; synthetic data; Detectors; Maximum likelihood detection; Maximum likelihood estimation; Noise; Noise reduction; Synthetic aperture radar; Time series analysis; maximum likelihood ratio test; multi-temporal SAR image; non-local filtering; step change pattern;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351560
