图像模型法在遥感蚀变信息提取中的应用  

Application of Image Model Method in Remote Sensing Alteration Information Extraction

作　　者：崔舜铫 姚佛军[1] 连琛芹 CUI Shunyao;YAO Fojun;LIAN Chenqin(Key Laboratory of Metallogeny and Resources Assessment,Institute of Mineral Resources Chinese Academy of Geological Sciences,Beijing 100037,China;School of Earth Sciences and Natural Resources,China University of Geosciences,Beijing 100083,China)

机构地区：[1]中国地质科学院矿产资源研究所成矿与资源评价重点实验室,北京100037 [2]中国地质大学(北京)地球科学与资源学院,北京100083

出　　处：《遥感信息》2019年第5期98-102,共5页Remote Sensing Information

基　　金：中央级公益性科研院所基本科研业务费专项资金资助项目（K1501）;中国地质调查局中国地质科学院基本科研业务费项目（JYYWF0830）;中国地质调查项目（DD20190193）

摘　　要：针对在不同地物背景情况下难以选择恰当的遥感蚀变信息提取方法和建立特征掩膜的问题,提出了一种基于图像模型来帮助信息提取的方法。该方法依据典型蚀变矿物和干扰地物的光谱特性,模拟ASTER多光谱数据各波段特征,建立9维空间图像模型,并针对Fe^3+、Al-OH、Mg-OH、CO3^2-这4种典型离子基团,进行了比值法、主成分分析法的遥感蚀变信息提取实验,通过提取结果判断不同方法的信息提取效果和干扰地物的影响情况。结果表明,通过图像模型法可以直观地展现不同方法在不同地物背景下提取效果的优劣,为遥感蚀变信息提取方法选择和掩膜的建立提供参考。In view of the problem of how to select remote sensing alteration information extraction methods and build mask under the circumstances of different backgrounds,this paper proposes a method based on image model to extract remote sensing alteration information.Firstly,it establishes a 9-dimensional spatial image model of ASTER data based on the spectral characteristics of typical altered minerals and disturbing ground objects.And then,based image model,remote sensing alteration information is extracted by using the ratio method,principal component analysis for the four typical ionic groups(Fe^3+,Al-OH,Mg-OH and CO3^2-).The extraction results are used to judge the effect of different methods on information extraction and the influence of disturbing ground objects.The results show that the image model method can be used to show the advantages and disadvantages of different methods for extracting remote sensing alteration information in different backgrounds,and provide reference for the selection of remote sensing alteration information extraction methods and the establishment of mask.

关 键 词：图像模型 蚀变信息 提取方法 背景 掩膜 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]