| 基于中、高分辨率遥感影像的羟基和铁染蚀变信息提取与成矿预测——以吉林市等六幅为例 |
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| 引用本文： | 曹会,张廷秀,李雨柯,韩科胤,温秋园,王海英.基于中、高分辨率遥感影像的羟基和铁染蚀变信息提取与成矿预测——以吉林市等六幅为例[J].地质与资源,2021,30(6):710. |
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| 作者姓名： | 曹会 张廷秀 李雨柯 韩科胤 温秋园 王海英 |
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| 作者单位： | 1. 中国地质调查局 牡丹江自然资源综合调查中心, 黑龙江 牡丹江 157021;2. 吉林省地质调查院, 吉林 长春 130021;3. 辽宁省北票市自然资源局, 辽宁 北票 122100 |
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| 基金项目： | 中国地质调查局项目"吉林1：5万吉林市（K52E001003）、天岗（K52E001004）、丰满（K52E002003）、新开河屯（K52E002004）、旺起屯（K52E003003）、大石头河子（K52E003004）幅区域地质调查"（编号DD20160049-4）；"东北边境珲春-虎头地区综合地质遥感调查"（编号DD20208015）. |
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| 摘 要： | 以Landsat 8与SPOT-6遥感数据为基础数据源，利用工作区遥感影像特征和1：5万地理底图，采用目视解译的方法，对工作区地层、线性构造、环形构造进行解译，并采用比值-主成分分析法提取羟基和铁染蚀变信息.通过对遥感解译的断裂构造、环形构造和蚀变矿化信息进行综合分析，从遥感角度圈定成矿有利部位，供野外找矿参考.
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| 关 键 词： | Landsat 8数据 SPOT-6数据 蚀变信息 成矿预测 遥感解译 |
| 收稿时间： | 2020-12-31 |
HYDROXYL AND IRON-STAINED ALTERATION INFORMATION EXTRACTION AND METALLOGENIC PREDICTION BASED ON MEDIUM-HIGH-RESOLUTION REMOTE SENSING IMAGES: A Case Study of Six Map Sheets in Jilin City |
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| CAO Hui,ZHANG Ting-xiu,LI Yu-ke,HAN Ke-yin,WEN Qiu-yuan,Wang Hai-ying.HYDROXYL AND IRON-STAINED ALTERATION INFORMATION EXTRACTION AND METALLOGENIC PREDICTION BASED ON MEDIUM-HIGH-RESOLUTION REMOTE SENSING IMAGES: A Case Study of Six Map Sheets in Jilin City[J].Geology and Resources,2021,30(6):710. |
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| Authors: | CAO Hui ZHANG Ting-xiu LI Yu-ke HAN Ke-yin WEN Qiu-yuan Wang Hai-ying |
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| Institution: | 1. Mudanjiang Centre of Natural Resources Comprehensive Survey, CGS, Mudanjiang 157021, Heilongjiang Province, China;2. Jilin Institute of Geological Survey, Changchun 130021, China;3. Beipiao Natural Resources Bureau, Beipiao 122100, Liaoning Province, China |
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| Abstract: | Based on the Landsat 8 and SPOT-6 remote sensing (RS) data, combined with the RS image features and 1:50 000 geographical base map of the study area, the visual interpretation is used to interpret the strata, linear structure and ring structure. The ratio-principal component analysis is adopted to extract the hydroxyl and iron-stained alteration information. Through comprehensive analysis of RS-interpreted fault structure, ring structure and altered mineralization information, the favorable ore-forming sites are delineated from the perspective of remote sensing for reference in field prospecting. |
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| Keywords: | Landsat 8 data SPOT-6 data alteration information metallogenic prediction remote sensing interpretation |
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