An object-based hierarchical classification method for nature reserve land cover classification

2018 2nd International Workshop on Renewable Energy and Development

能源学;经济学

Zhuo, Fu^1 ; Xiaolong, Liu^2 ; Rulin, Xiao^1 ; Xiaoman, Liu^1 ; Ruihong, Wen^1 ; Rui, Xu^2

Satellite Environment Center, Ministry of Environmental Protection, Beijing, China^1

College of Tourism and Geography Science, Yunnan Normal University, Kunming, Yunnan, China^2

关键词: Classification accuracy;    Hierarchical classification;    HyperSpectral;    Image objects;    Land cover classification;    Monitoring and management;    Multi-spectral data;    Nature reserves;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/153/6/062026/pdf
DOI  :  10.1088/1755-1315/153/6/062026

来源: IOP

【 摘 要 】

This study presents an object-based hierarchical classification method for nature reserve land cover classification using hyperspectral and multi-spectral data. The method firstly extracts several indices to identify non-vegetation land covers that are distinguishable with these indices, and then classify vegetation into grass land and crop. The classified land covers were finally assigned to image objects. In this study we obtained an overall classification accuracy of 95.05, with a Kappa of 0.89, which indicates the potential of this method in nature reserve change monitoring and management.