DocumentCode :
2794962
Title :
An adaptive sparse representation for remote sensing image based on combination of wavelet and adaptive directional filter
Author :
Huo, Chengfu ; Zhang, Rong ; Yin, Dong
Author_Institution :
Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
990
Lastpage :
993
Abstract :
This paper presents an adaptive sparse representation scheme for the remote sensing image, the geometric structure of which is more complex than that of natural image. The presented scheme includes two main stages which are wavelet transform and adaptive directional filter which is designed based on a binary tree. The construction of the binary tree depends on the image geometric information in frequency domain. Besides the properties of multiscale, multidirectionality and nonredundancy, our scheme has an additional property named adaptation which is a particular characteristic. Experimental results show that, in the sense of signal to noise ratio and visual quality, the performance of the nonlinear approximation of our scheme for remote sensing image is better than most of the existing sparse representation schemes.
Keywords :
adaptive filters; geophysical image processing; image representation; remote sensing; wavelet transforms; waves; adaptive directional filter; adaptive sparse representation; binary tree; frequency domain; image geometric information; remote sensing image; signal quality; signal-to-noise ratio; wavelet transform; Adaptive filters; Binary trees; Filter bank; Frequency domain analysis; Image edge detection; Information filtering; Information filters; Information science; Remote sensing; Wavelet transforms; adaptation; adaptive sparse representation; binary tree; directional filter; remote sensing image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5495309
Filename :
5495309
Link To Document :
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