DocumentCode :
3285958
Title :
SAR and MS image fusion based on Curvelet Transform and Activity Measure
Author :
Yaning, Lu ; Guo Lei ; Li Huihui ; Lei, Guo
Author_Institution :
Coll. of Autom., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2011
fDate :
15-17 April 2011
Firstpage :
1680
Lastpage :
1683
Abstract :
Curvelet Transform , as a method of Multi-scale Geometric Analysis(MGA), is more suitable for image processing and contains more directional information. In this paper, the method of integrating SAR image and MS image are proposed based on Curvelet transform and Activity Measure(AM) is described in detail. SAR image and MS image are given by Curvelet transform to obtain coarse coefficients and detail coefficients. Then, the inverse transform is applied to obtain the fusion product. Finally use Degree of Distortion (DoD) and Difference Coefficient (DC) .etc to evaluate the result. The results of experiment indicate that the method excels those of based on IHS or wavelet transform in preserving spectral information and enhancing resolution.
Keywords :
curvelet transforms; image enhancement; image fusion; image resolution; synthetic aperture radar; wavelet transforms; MS image fusion; SAR image; activity measure; curvelet transform; image processing; image resolution enhancement; multi-scale geometric analysis; spectral information; wavelet transform; Distortion measurement; Image edge detection; Image fusion; Remote sensing; Wavelet transforms; Activity Measure(AM); Curvelet Transform; Multi-scale Geometric Analysis(MGA); SAR Image Fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
Type :
conf
DOI :
10.1109/ICEICE.2011.5777893
Filename :
5777893
Link To Document :
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