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Proceedings Paper

The application of mixed GA-BP algorithm on remote sensing image classification
Author(s): Wan-chun Zhou; Gang-sheng Xie; Bo Liu
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Paper Abstract

In this paper, both the advantage and disadvantage of traditional Genetic Algorithm and Back Propagation Algorithm are analyzed. A mixed algorithm on combination of genetic algorithm and back propagation algorithm is adopted and it's network is trained by a sample of the spectrum, texture, position and geometry features of hyperspectral remote sensing images. The numerical experiment is designed to compare GA-BP algorithm with an evolutionary BP algorithm, which is trained by Levenberg-Marquart algorithm. The results proved that GA-BP algorithm is more efficient, robust and practical.

Paper Details

Date Published: 7 November 2008
PDF: 8 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470A (7 November 2008); doi: 10.1117/12.813210
Show Author Affiliations
Wan-chun Zhou, East China Univ. of Technology (China)
Gang-sheng Xie, South China Agricultural Univ. (China)
Bo Liu, East China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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