doi:10.16186/j.cnki.1673-9787.2020070002

Received:2020/07/01

Revised:2020/09/03

Published:2021/03/15

Mining land use information extraction based on combining supportvector machine and object-oriented method

Huo Guangjie1,2, HU Naixun3, CHEN Tao3, ZHEN Na1,2

1.Geological Environment Monitoring Institute of Henan Province， Zhengzhou  450000 ， Henan， China;2.Key Laboratory of Geological Environment Protection of Henan Province， Zhengzhou  450006 ， Henan， China;3.Institute of Geophysics and Geomatics， China University of Geosciences ， Wuhan  430074 ， Hubei， China

Abstract:In order to improve the the accuracy of remote sensing classification and extraction of land use information in mining areas， by using multi-source data fusion technology and GF-2 satellite data， the land use information of open pit mining area in Yuzhou City， Henan Province was extracted based on combining support vector machine and object-oriented method. The results showed that the overall accuracy of mining area information extraction based on combing support vector machine and object-oriented method was 86. 44% ， and the Kappa coefficient was 0. 83 ，which was better than that of the combined K-nearest neighbor algorithm and object-oriented method. It showed that this method had ideal accuracy in mining area information extraction， and could provide reliable technical support for environmental monitoring and scientific management of mining areas.

Key words:mining area information extraction;object-oriented;support vector machine;land use

 融合支持向量机和面向对象方法的矿区土地利用信息提取_霍光杰.pdf