| 遥感特征信息提取的综合分析——以红外细分波段新疆铁木尔特航带矿化特征信息提取为例 |
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| 引用本文： | 迟国彬,丁暄,李岩.遥感特征信息提取的综合分析——以红外细分波段新疆铁木尔特航带矿化特征信息提取为例[J].遥感学报,1991(1). |
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| 作者姓名： | 迟国彬 丁暄 李岩 |
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| 作者单位： | 中国科学院新疆地理研究所
(迟国彬)，中国科学院贵阳地球化学研究所
(丁暄)，中国科学院新疆地理研究所(李岩) |
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| 摘 要： | 本文以红外细分波段新疆铁木尔特航带为例,依据不同地质体各自的光谱特征,运用主成分分析、多种信息复合等技术与综合分析方法,使该地段的矿化特征提取收到了良好效果。 本航带的矿化特征信息在图像处理结果中表现为黄色异常色调。它反映了当地多金属成矿带中二氧化硅含量低、全铁含量较高的岩矿矿化特征。团块状黄色异常色调表示出地表出露的铁帽、磁铁矿化和矽卡岩化的分布状况。野外验证表明,黄色调的分布地域与实地的地表矿化范围相吻合。 遥感特征信息提取的综合分析方法包括信息基本特征分析、图像处理、后验分析和机理解释等四个相互联系的步骤。研究表明,只有经过综合分析,才能揭示出特征信息的内在规律性,使特征信息具有较好的实用价值。
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| 关 键 词： | 红外细分光谱 综合分析 信息提取 |
Multidisciplinary Analysis for Feature Information Extraction of Remote Sensing |
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| Chi Guobin.Multidisciplinary Analysis for Feature Information Extraction of Remote Sensing[J].Journal of Remote Sensing,1991(1). |
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| Authors: | Chi Guobin |
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| Abstract: | According to the spectral characteristics of different geobodies, and using principal component analysis, information multiplex and multidisciplinary analysis method, a good result of mineralized information extraction was given in this paper, with FIMS flight strip in Tie-muerte of North Xinjiang.The yellow abnormal color tone was show en in the mineralized feature information of FIMS flight strip of the region in image processing result. It reflected on mineralized feature with lower content of silica and higher f erri-ferrous content in polymetalic mineralization belt. Yellow abnormal color tone in form of lumps showed the distribution of gasson, magnetite and skarn on exposing surface. According to the field examination, the distribution section of yellow color tone is in agreement with the mineralized area on the spot surface.There are four steps of multidisciplinary analysis for extracting the feature information of remote sensing, which are independent of each other and also related to each other. The four steps include: The analysis of essential feature information, image processing, verification analysis and mechanism explaination. In fact, only by multidisciplinary analysis, could the inherent law of feature information be revealed and the feature information extracted be made into a good practical value one. |
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| Keywords: | Fine split infrared spectrum Multidisciplinary analysis Information extraction |
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