DocumentCode :
3592761
Title :
Change detection methods in high resolution Cosmo SkyMed images
Author :
Lanfri, Sofia ; Scavuzzo, Marco ; Lanfri, Mario A. ; Palacio, Gabriela ; Frery, Alejandro C.
Author_Institution :
Inst. Mario Gulich, Comision Nac. de Actividades Espaciales, Cordoba, Argentina
fYear :
2013
Firstpage :
304
Lastpage :
307
Abstract :
In this paper we compare three approaches for change detection in SAR imagery: GRLT, MIMOSA and one based on the Hellinger stochastic distance between distributions. The comparison is made using COSMO-SkyMed images from which training samples from four types of areas subjected to change, and from two areas which underwent no change. Whereas GRLT and the Hellinger distance-based procedures yielded good results, MIMOSA failed at detecting the changes.
Keywords :
radar imaging; remote sensing by radar; synthetic aperture radar; Cosmo SkyMed images; GRLT SAR imagery; GRLT distance-based procedure; Hellinger distance-based procedure; Hellinger stochastic distance; MIMOSA SAR imagery; change detection methods; Earth; Random variables; Remote sensing; Satellites; Stochastic processes; Synthetic aperture radar; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on
Type :
conf
Filename :
6705075
Link To Document :
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