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Proceedings Paper

Multispectral remote sensing image classification considering texture based on neural network
Author(s): Ling Ni; Jianqing Zhang; Shuangquan Liu; Jinbiao Liu
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Paper Abstract

The main characters of classification techniques of multi-spectral remote sensing images are analyzed in this paper. A neural network is constructed and an classification algorithm considering feature texture is proposed. A new method of combining neural network with feature textual knowledge is given to make the algorithm of multi-spectral image classification more effective and practical.

Paper Details

Date Published: 3 November 2005
PDF: 6 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60431I (3 November 2005); doi: 10.1117/12.654921
Show Author Affiliations
Ling Ni, Wuhan Univ. (China)
Jianqing Zhang, Wuhan Univ. (China)
Shuangquan Liu, Wuhan Geo Information Engineering Corp. (China)
Jinbiao Liu, Wuhan Institute of Surveying and Designing (China)

Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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