期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：153
期号：6
页码：062026
DOI：10.1088/1755-1315/153/6/062026
语种：English
出版社：IOP Publishing
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.
