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

fYear

2012

fDate

22-27 July 2012

Firstpage

374

Lastpage

377

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6351560

Filename

6351560