DocumentCode :
1987258
Title :
Remote sensing image fusion based on wavelet-based contourlet packet
Author :
Zhenghua Shu ; Zhijun, Liang ; Guodong Liu ; Zhong, Ren ; Lixin Gan
Author_Institution :
Key Lab. of Opt.-Electron. & Commun., Jiangxi Sci. & Technol. Normal Coll., Nanchang, China
Volume :
2
fYear :
2010
fDate :
17-18 July 2010
Firstpage :
112
Lastpage :
115
Abstract :
In this paper, an algorithm based on wavelet-based contourlet transform is proposed for remote sensing image fusion. This method mainly involves three steps: The first stage provides subband decomposition, which in the case of the WBCT is a wavelet transform, in contrast to the Laplacian pyramid used in contourlets. The second stage of the WBCT is a directional filter bank (DFB), decomposition of the coefficients on wavelet-based contourlet packets (WBCP) and selection of proper fusion criterion in the contourlet subband. The main merit of the proposed method is that the contourlet transform can provide optimally sparse representation of objects with singularities along C2 edges and the wavelet-based contourlet packets (WBCP) can decompose the high frequency parts of the images which are not decomposed in discrete wavelet transform. This algorithm of fusing the images from different sensors can take advantage of the curves features of the source images more effectively. The experimental results demonstrate that this algorithm performs better than classical fusion methods both in visual effect and object evaluation.
Keywords :
filtering theory; geophysical image processing; image fusion; remote sensing; wavelet transforms; Laplacian pyramid; c2 edge singularities; coefficient decomposition; contourlet subband; directional filter bank; optimally sparse object representation; remote sensing image fusion; subband decomposition; visual effect; wavelet-based contourlet transform; Filter bank; Wavelet analysis; Remote Sensing Image Fusion; Wavelet-Based Contourlet Packet; directional filter bank(DFB);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
Type :
conf
DOI :
10.1109/ESIAT.2010.5567287
Filename :
5567287
Link To Document :
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