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地物波谱数据库应用方法及遥感应用现状
引用本文:程娟,肖青,闻建光,唐勇,游冬琴,卞尊健,吴胜标,郝大磊,钟守熠.地物波谱数据库应用方法及遥感应用现状[J].遥感技术与应用,2020,35(2):267-286.
作者姓名:程娟  肖青  闻建光  唐勇  游冬琴  卞尊健  吴胜标  郝大磊  钟守熠
作者单位:1.中国科学院遥感与数字地球研究所 遥感科学国家重点实验室,北京 100101;2.中国科学院大学,北京 100049
基金项目:国家科技性基础专项(2014FYZ10800)
摘    要:地物波谱数据库在遥感信息提取中具有重要的应用价值,本文归纳和总结了常用的国内外通用型地物波谱数据库与专业型地物波谱数据库的发展现状。在对有关波谱库遥感应用文献进行计量分析的基础上,综述了地物波谱数据库遥感应用的四种主要方法波谱特征分析、光谱匹配识别、混合像元分解以及参数提取建模,阐述了地物波谱数据库在地物分类、目标识别及参数反演中的应用。从当前所处的遥感"大数据"时代背景出发,亦对地物波谱数据库的建设趋势与应用潜力进行了展望。

关 键 词:遥感  波谱  数据库  分类  识别  反演
收稿时间:2018-12-27

Review of Methods and Remote Sensing Cases Using Spectral Library
Juan Cheng,Qing Xiao,Jianguang Wen,Yong Tang,Dongqin You,Zunjian Bian,Dalei Hao,Shouyi Zhong.Review of Methods and Remote Sensing Cases Using Spectral Library[J].Remote Sensing Technology and Application,2020,35(2):267-286.
Authors:Juan Cheng  Qing Xiao  Jianguang Wen  Yong Tang  Dongqin You  Zunjian Bian  Dalei Hao  Shouyi Zhong
Affiliation:(State Key Laboratory of Remote Sensing,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China)
Abstract:Ground object spectral libraries play a significant role in remote sensing information extraction. This paper investigates the domestic and foreign spectral libraries frequently-used, including the general spectral libraries and the professional spectral libraries. Based on the biliometric analysis of the literatures about remote sensing applications based on spectral libraries, four kinds of methods are summarized, including spectral feature analysis, spectral matching, spectral mixture analysis and quantitative remote sensing modeling. Some remote sensing applications based on spectral libraries, such as ground object classification, target identification and land surface parameters inversion, are also summarized. From the background of remote sensing big data, the developing trends and application potential of the ground object spectral library are prospected at the end.
Keywords:Remote sensing  Spectra  Database  Classification  Identification  Inversion  
本文献已被 CNKI 维普 等数据库收录!
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