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Study on extraction method of land-use information: A case study of Jinzhou city

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3 Author(s)
Liang Pei ; Coll. of Geomatics, LiaoNing Tech. Univ., Fuxin, China ; Zhaoyang Xu ; Jiguang Dai

This paper presents a new classification method based on a combination of GIS and BP (back propagation) artificial neural network, taking the TM image of the area of Jinzhou city in 2000 as the testing one. BP neural network can be optimized by means of selecting GIS data aided training sample, improving training algorithm, calculating the number of nodes in the hidden layer and so on. Compared with traditional methods, optimized BP neural network is an effective classification method with better self-learning, generalization, adaptive capacity and high classification accuracy.

Published in:

Geoinformatics, 2010 18th International Conference on

Date of Conference:

18-20 June 2010