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Remote Sensing Image in Mining Area Classification Based on LVQ2 Neural Network

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2 Author(s)
Shengwu Hu ; Fac. of Inf. Enginerring, China Univ. of Geosci. (Wuhan) CUG, Wuhan, China ; Hongxia Luo

The remote sensing shows a widest perspective for land reclamation in mining areas. Based on how to improve the classification accuracy of mine image, we did some classification researchs with LVQ2 neural network. The proposed method had been applied to the aerial image of Heng country, Guangxi Province. The total classification accuracy was 72%, comparing with the minimum distance method increased by 9%.

Published in:

Electrical and Control Engineering (ICECE), 2010 International Conference on

Date of Conference:

25-27 June 2010

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