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Proceedings Paper

Land suitability evaluation based on artificial neural network
Author(s): Yaolin Liu; Martin Molenaar; Yanfang Liu; Limin Jiao
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Paper Abstract

Artifical Neural Networks (ANN) has many good qualities comparing with ordinary methods in Land Suitability Evaluation. Based on analysis of ordinary methods' limitations,s ome sticking points of BP model of ANN used in land evaluation are discussed in detail, such as network structure, learning algorithm, etc. The land evaluation of Qionghai city is used as a case study, we know that ANN always can give more reasonable evaluation results from test.

Paper Details

Date Published: 25 September 2003
PDF: 6 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539080
Show Author Affiliations
Yaolin Liu, Wuhan Univ. (China)
Martin Molenaar, International Institute of Geo-Information Science and Earth Observation (Netherlands)
Yanfang Liu, Wuhan Univ. (China)
Limin Jiao, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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