Journal Article

PreJuSER-19797

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Improving Change Detection Results of IR-MAD by Eliminating Strong Changes

Marpu, P. R. ; Gamba, P. ; Canty, M. J.FZJ*

2011
IEEE New York, NY

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Please use a persistent id in citations: doi:10.1109/LGRS.2011.2109697

Abstract: This letter examines the effect of the prior elimination of strong changes on the results of change detection in bitemporal multispectral images using the previously published iteratively reweighted multivariate alteration detection (IR-MAD) method. An initial change mask is calculated by identifying strong changes between two images. By using the mask and hence eliminating the strong changes from the analysis, the IR-MAD method is able to identify a better no-change background. This effect is demonstrated on a multitemporal Landsat Enhanced Thematic Mapper Plus data set from an agricultural region in Germany with substantial improvement in the results even for the scenes which have a large number of changes.

Keyword(s): J ; Change detection (auto) ; iteratively reweighted multivariate alteration detection (MAD) (IR-MAD) (auto)

Note: Record converted from VDB: 12.11.2012

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. Terrestrische Umwelt (P24)

Appears in the scientific report 2011

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Database coverage:
JCR ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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