Land suitability evaluation based on artificial neural network

Yaolin Liu; Martin Molenaar; Yanfang Liu; Limin Jiao

doi:10.1117/12.539080

25 September 2003 Land suitability evaluation based on artificial neural network

Yaolin Liu, Martin Molenaar, Yanfang Liu, Limin Jiao

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539080
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Yaolin Liu, Martin Molenaar, Yanfang Liu, and Limin Jiao "Land suitability evaluation based on artificial neural network", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539080

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