谭衢霖.SAR遥感数据用于岩性识别与分类的研究[J].地质找矿论丛,2009,24(4):349-353
SAR遥感数据用于岩性识别与分类的研究
APPLICATION OF SAR REMOTE SENSING DATA TO LITHOLOGICAL IDENTIFICATION AND ROCK CLASSIFICATION
投稿时间:2008-11-17  修订日期:2009-11-03
DOI:10.6053/j.issn.1001-1412.2009.4. 014
中文关键词:  SAR  遥感解译  岩性识别  计算机分类
英文关键词:SAR remote sensing  image interpretation  geological survey  railway engineering
基金项目:国家自然科学基金项目(40801121)资助
作者单位
谭衢霖 北京交通大学土木建筑工程学院, 北京, 100044 
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中文摘要:
      利用新疆北部山区雷达遥感数据,通过遥感数字图像处理与增强,生成雷达遥感假彩色合成影像应用于岩性判释。对不同岩性岩石,利用极化雷达提供的地表岩石的多种散射信息作为输入进行计算机神经网络分类,岩性识别分类的总精度为62.6%。与常规雷达数据分类对比,分类精度与岩石识别正确率均有显著提高。
英文摘要:
      The interpretation and application of optic remote sensing images,including aerial photos and satellite images,had become the indispensable tool for geological survey.In the paper,SAR remote sensing data were used to identify different rocks and survey the lithological distribution in the north of Xinjiang Province.Firstly,the multi-frequency and multi-polarization data were used to produce the false color composite image for visual interpretation and lithological mapping by remote sensing digital image processing and enhancement.Secondly,the various backscattering data of containing abundant information about rock’s characteristics were put into the computer Neural Network Classifier.The overall accuracy is 62.6%.
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