摘要
针对高光谱遥感矿产资源探测的处理流程和实施算法,从光谱特征提取、光谱解混及地物分类识别和填图3个方面涉及的关键技术展开了简述。在此基础上基于IDL研发了高光谱遥感资源探测软件。软件集成了影像特征分析、影像信息提取、端元提取、混合像元分解、蚀变填图、成矿远景区分析等功能模块。同时,对存在的问题,从波谱库构建、基于高光谱的资源深部探测、岩矿光谱特性机理分析、高光谱遥感影像高性能处理等方面进行了探讨。
Three key techniques related to spectral feature extraction, spectral unmixing, ground-object identification and mapping are discussed based on the processing flow and algorithms of hyperspectral remote sensing mineral resource exploration. The software has been developed for hyperspectral remote sensing resource exploration based on IDL, which integrates the functions of remote sensing image feature analysis, image information extraction, end member extraction, mixed pixe｜ decomposition, alteration mineral mapping and mineralization prospect area analysis, etc. Meanwhile, such questions as the construction of spectral library, the deep exploration of resources based on hyperspectrum, the mechanism analysis of mineral spectral features and the high performance processing of hyperspectral remote sensing image are also discussed.
出处
《国土资源科技管理》
北大核心
2012年第6期59-63,共5页
Scientific and Technological Management of Land and Resources
基金
中国地质调查局地调项目(1212011120226)
关键词
高光谱遥感
资源探测
特征提取
光谱解混
分类识别
hyperspectral remote sensing
resources exploration
feature extraction
spectral unmixing
classification and identification
