DocumentCode :
2597870
Title :
Data fusion of multiple polarimetric SAR images based on combined curvelet and wavelet transform
Author :
Zhang, Xinzheng ; Huang, Peikang ; Zhou, Ping
Author_Institution :
Beijing Inst. of Environ. Features, Beijing
fYear :
2007
fDate :
5-9 Nov. 2007
Firstpage :
225
Lastpage :
228
Abstract :
Data fusion is a very effective technique which can be applied to many remote sensing areas such as battle awareness, monitoring of environmental surveillance and man-made target detection. In this paper, we test fusion of multiple polarization (HH, HV , VH and W) SAR images, which is performed using multiscale image fusion technique based on combined curvelet and wavelet transform. Curvelet transform provides a flexible multiresolution, anisotropy and directional expansion for SAR images. Compared with wavelets, it can afford more efficient presentation of image edges. The fusion approach exploits the advantages of both curvelet and wavelet in multiscale domain. The example result of four polarimetric SAR image fusion show that the proposed method has a good performance.
Keywords :
curvelet transforms; image fusion; radar imaging; radar polarimetry; synthetic aperture radar; wavelet transforms; anisotropy; curvelet transform; data fusion; directional expansion; flexible multiresolution; multiple polarimetric SAR images; multiple polarization; multiscale image fusion; remote sensing; wavelet transform; Anisotropic magnetoresistance; Image fusion; Image resolution; Object detection; Performance evaluation; Polarization; Remote monitoring; Surveillance; Testing; Wavelet transforms; Curvelet; SAR; fusion; polarimetirc; wavelet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Synthetic Aperture Radar, 2007. APSAR 2007. 1st Asian and Pacific Conference on
Conference_Location :
Huangshan
Print_ISBN :
978-1-4244-1188-7
Electronic_ISBN :
978-1-4244-1188-7
Type :
conf
DOI :
10.1109/APSAR.2007.4418595
Filename :
4418595
Link To Document :
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