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| 基于蚀变信息场的遥感蚀变信息提取 | |
| 引用本文： | 吕凤军,邢立新,范继璋,潘军,孟涛,何全军.基于蚀变信息场的遥感蚀变信息提取[J].地质与勘探,2006,42(2):65-68. |
| 作者姓名： | 吕凤军 邢立新 范继璋 潘军 孟涛 何全军 |
| 作者单位： | 1. 吉林大学综合信息矿产预测研究所,长春,130026 2. 吉林大学地球探测科学与技术学院,长春,130026 3. 广州气象卫星地面站,广州,510640 |
| 基金项目： | 中国地质调查局资助项目 |
| 摘 要： | 遥感色调异常是遥感矿化信息识别和遥感找矿的重要标志.用于蚀变信息提取的图像处理方法主要有比值增强和主成分分析两种方法.然而,如何识别和划分多光谱数据中的异常色调没有统一的标准.文章从图像增强、特征变量选择、特征变量组合分析、特征色调空间展布规律,建立研究区的模式识别字典,提出蚀变信息场理论,从蚀变信息场场强的角度对预测区的异常色调进行定量反演.在吉林东部小西南岔铜金床找矿预测中取得显著效果. |
| 关 键 词： | 蚀变信息场 模式识别字典 异常色调 定量反演 |
| 文章编号： | 0495-5331(2006)02-0065-04 |
| 收稿时间： | 2005-04-27 |
| 修稿时间： | 2005-06-24 |
EXTRACTING ALTERATION INFORMATION OF REMOTE SENSING BASED ON ALTERATION INFORMATION FIELD |
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| LU Feng-jun,XING Li-xin,FAN Ji-zhang,PAN Jun,MENG Tao,HE Quan-jun.EXTRACTING ALTERATION INFORMATION OF REMOTE SENSING BASED ON ALTERATION INFORMATION FIELD[J].Geology and Prospecting,2006,42(2):65-68. | |
| Authors: | LU Feng-jun XING Li-xin FAN Ji-zhang PAN Jun MENG Tao HE Quan-jun |
| Institution: | 1. Institute of Mineral Resources Prognosis of Synthetic Information, Jilin University, Changchun 130026; 2. College of Geoexploration of Science and Technology, Jilin University, Changchun 130026; 3. Guangzhou Meteorological Satellite Grounel Statim , Guangzhou 510640 |
| Abstract: | Remote sensing hue anomaly is an important indication for remote sensing mineralization information identification and ore -finding. Ration enhancement and principal component analyses are main ways for extracting alteration information. However, there is no unified standard how to identify and classify anomaly hues of multi - spectral remote sensing data. Based on image enhancement, characteristic vector selection, characteristic vector assemble analysis and anomaly hue distributing rules, model dictionary in the studied area is established and alteration information theory is put forward. Quantitative inverse of anomaly hues is conducted based on alteration information. Remarkable prediction results are got in the Xiaoxinancha gold deposit. |
| Keywords: | alteration information field model identification dictionary anomaly hue quantitative inversion |
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