Applications of Hyperspectral Remote Sensing in Ground Object Identification and Classification

• 作者: Cheng Li Chunyan Chang Houxing Sun Xiaoyan Guo Xicun Zhu Xinyang Yu Yu Wei
• 来源期刊: 遥感技术进展(英文)
• 学科: 工学
• 关键词: HYPERSPECTRAL Remote Sensing GROUND OBJECT Identification and Classification STATISTICAL Model SPECTRAL MATCHING
• 年，卷（期）: 2017,（3）
• 页码范围: 201-211
• 页数: 11页
• 分类号: TP39

摘要

Hyperspectral remote sensing has become one of the research frontiers in ground object identification and classification. On the basis of reviewing the application of hyperspectral remote sensing in identification and classification of ground objects at home and abroad. The research results of identification and classification of forest tree species, grassland and urban land features were summarized. Then the researches of classification methods were summarized. Finally the prospects of hyperspectral remote sensing in ground object identification and classification were prospected.