Paper
3 November 2005 Multispectral remote sensing image classification considering texture based on neural network
Ling Ni, Jianqing Zhang, Shuangquan Liu, Jinbiao Liu
Author Affiliations +
Proceedings Volume 6043, MIPPR 2005: SAR and Multispectral Image Processing; 60431I (2005) https://doi.org/10.1117/12.654921
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ling Ni, Jianqing Zhang, Shuangquan Liu, and Jinbiao Liu "Multispectral remote sensing image classification considering texture based on neural network", Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60431I (3 November 2005); https://doi.org/10.1117/12.654921
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Cited by 1 scholarly publication.
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KEYWORDS
Image classification

Neural networks

Remote sensing

Image analysis

Evolutionary algorithms

Neurons

Multispectral imaging

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