HUBEI AGRICULTURAL SCIENCES ›› 2021, Vol. 60 ›› Issue (13): 60-62.doi: 10.14088/j.cnki.issn0439-8114.2021.13.011

• Resource & Environment • Previous Articles     Next Articles

Study on remote sensing classification of land utilization in Yanshi city

WANG Guo-zhong1, LI Zhong-yuan2, ZHANG Ji-yu3, CHENG Huan-ling4, LI Jia-hong5   

  1. 1. Yellow River Scientific Research Institute of Hydrology and Water Resources,Zhengzhou 450004,China;
    2. Hydrology and Water Resources Bureau of Henan Province,Zhengzhou 450003,China;
    3. Henan Yellow River Bureau,Zhengzhou 450003,China;
    4. Soil and Water Conservation Supervision Central Station of Henan Province,Zhengzhou 450008,China;
    5. Hydrology and Water Resources Survey Bureau of Jiaozuo,Henan Province,Jiaozuo 454002,Henan,China
  • Received:2020-08-26 Online:2021-07-10 Published:2021-07-26

Abstract: To grasp true and accurate land data in Yanshi city, Henan province, the classing methods were adopted by support vector (SVM) and maximum likelihood (ML) to classify its land use types in 2016 with landsat8 images. The results showed that both methods had high classification accuracy, but the SVM classification accuracy was slightly lower, which could be related to the selected parameters, the influence of kernel function and the training sample.

Key words: support vector machine(SVM), maximum likelihood method, remote sensing image, classification, Yanshi city

CLC Number: