基于多源遥感信息的成矿远景区预测研究——以西藏驱龙甲马地区为例
文献类型：学位论文
| 作者 | 吴华 |
| 学位类别 | 博士 |
| 答辩日期 | 2008 |
| 授予单位 | 中国科学院水利部成都山地灾害与环境研究所 |
| 授予地点 | 成都 |
| 导师 | 多吉 ; 刘淑珍 |
| 关键词 | 多源遥感信息 影像融合 蚀变信息 成矿预测 |
| 其他题名 | Research of metallogenic prospects forecasting based on multi Remote Sensing information in Qulong and Jiama area of Tibet |
| 学位专业 | 自然地理学 |
| 中文摘要 | 遥感信息是地质找矿的重要手段之一，由于近十几年来遥感技术的迅猛发展，能够为地质找矿服务的遥感数据类型越来越多，且各有优势。如何充分利用多源遥感信息预测成矿远景区和找矿靶区是一个新的课题和挑战。本文采用多光谱数据ETM和ASTER、雷达影像数据 ENVISAT/ASAR，以西藏自治区驱龙－甲马地区为研究对象预测多源遥感数据支持下的成矿远景区和靶区。力求从遥感角度，以多源遥感信息为主，物、化探信息为辅的方法进行预测。研究内容包括：线环构造解译、蚀变信息提取、成矿远景区及靶区预测。在多种方法支持下，利用ETM影像对矿区线性构造信息进行了计算机自动提取和目视解译；采用ETM和ASAR融合后的影像提取了隐伏断裂、环形构造和其它控矿、导矿构造，效果优于单一影像。利用ETM和ASTER多光谱影像对矿区的蚀变信息进行提取，ETM和ASTER对岩性识别具有互补特征，通过对比研究提高了蚀变信息的精度。通过研究发现，在第一次主成份分析结果上的第二次主成份分析可以清晰的显示铁染和羟基两类异常，效果优于第一次主成份分析。对掩膜和未掩膜的影像提取的蚀变信息对比分析发现，未掩膜的影像提取的信息可以显示蚀变带的分布规律以及强度大小的变化，而经过掩膜之后的影像不能表现出类似的规律。以提取的构造信息和蚀变信息为主，物探和化探信息为辅，基于GIS缓冲区分析和叠加分析技术，对成矿远景区和找矿靶区进行综合预测研究。研究结果表明多种信息叠加分析，可以提高预测的准确性和合理性。 |
| 英文摘要 | Remote Sensing (RS) is one of the important methods of ore prospecting. Due to the fast development of RS technology in recent decade years, more and more RS data can service for ore prospecting and have advantage separately. A new study problem and challenge comes to how to fully use multi RS information forecast metallogenic prospects and prospecting targets.Take the ore area of Qulong and Jiama of Tibet as study object, the article use multi spectral data of ETM and ASTER, Radar image of ENVISAT/ASAR to forecast metallogenic prospects and prospecting targets based on multi RS data. Strive from RS aspects, mainly use RS information, supplement of geophysical and geochemistry information methods to forecast. Research contains geological structure interpretation, alteration information extracting and metallogenic prospects and prospecting targets forecasting.Extract line structure information using ETM image by computer auto extracting and interpretation of manual based on multi methods. Extract concealed rupture, circle structure and other structure of controlling ore and guide ore by using the fusion image of ETM and ASTER. The effect is better than single image.Extract alteration information by using multi spectral image of ETM and ASTER. ETM and ASTER image have the complementary character of identify lithology. Alteration information precision is improved through comparable research. Through research we discover the anomalies of iron and hydroxide are clearly displayed by results of the second principal components analyze which based on the first one. The effect is better than the first one. Compare the alteration of masked and none-masked image found the information extracted by none-masked image can display the law of distribution and the change of intensity. The masked image can’t appear the similar law.Based on the information of structure and alteration, supplement the geophysical and geochemistry information, analysis of the GIS buffer and overlay, the metallogenic prospects and prospecting targets are forecast through combined research. The results shows the analysis of multi information improve the accuracy and rationality of forecasting. |
| 语种 | 中文 |
| 公开日期 | 2010-10-15 |
| 分类号 | P61;TP7 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/2214]  |
| 专题 | 成都山地灾害与环境研究所_成都山地所知识仓储（2009年以前） |
| 推荐引用方式 GB/T 7714 | 吴华. 基于多源遥感信息的成矿远景区预测研究——以西藏驱龙甲马地区为例[D]. 成都. 中国科学院水利部成都山地灾害与环境研究所. 2008. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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