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Proceedings Paper

Multiresolution analysis and classification of the textured SAR image with wavelet transform
Author(s): Guoqing Liu; Hong Xiong; ShunJi Huang
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Paper Abstract

This paper studies on the multiresolution analysis and classification of the textured synthetic aperture radar (SAR) image using the wavelet transform (WT). The tree- structured WT algorithm is first employed to decompose a real-world textured SAR image, and to quantify different texture types in the image. Then, the pyramid-structured WT algorithm is applied in the multiresolution classification of the image. The classification result obtained demonstrates the advantage of the WT in the textured SAR image classification.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323628
Show Author Affiliations
Guoqing Liu, Univ. of Electronic Science and Technology of China (China)
Hong Xiong, Univ. of Electronic Science and Technology of China (China)
ShunJi Huang, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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