摘要
为了实现在植被覆盖区提取蚀变信息,本文依据地物波谱理论,结合研究区地质控矿构造特征,分析特征数据空间载荷因子特征和工作区内已知矿床、矿点及矿化点附近异常色调的不同空间特征的灰度值,以及异常色调的空间特征分布概率,建立适合北方落叶时相多光谱数据的多元统计蚀变信息提取模型。该模型成功地应用于吉林省东部小西南岔地表植被严重区蚀变信息提取研究,取得较好的效果。
In order to attain the altered information extraction of the vegetation covered region,based on geophysics spectrum theory,combined with the geological ore-controlling structure features of research area,analyzed the load factors features of characteristic data space and the gray value of known deposits,ore spots,the different space features anomaly hues of mineralized spots in the work area,and the space characteristic distribution probability of abnormal tone,built a multivariate statistical altered information extraction model,which suits multispectral data when leaves fallen in the north.The model successfully applied in the research in altered information extraction of Xiaoxinancha surface vegetation area in the eastern part of Jilin Province,and achieved good results.
出处
《吉林地质》
2012年第2期84-86,90,共4页
Jilin Geology
关键词
空间特征
蚀变信息
落叶时相
统计识别模型
spatial features
alteration information
fallen leaves time phase
statistical identification model
