玉龙斑岩铜矿带遥感蚀变信息提取技术方法研究

发布时间：2018-11-09 18:33

【摘要】：本文依托西南三江中南段斑岩型铜矿遥感找矿模型研究与靶区优选项目,围绕遥感技术提取与斑岩铜矿相关的蚀变信息与区域构造信息,结合区域地质背景,选取特大型玉龙斑岩铜矿作为研究区,进行多源遥感数据蚀变异常信息提取技术方法研究与线环构造信息的提取。本文的研究数据选取了OLI数据与ASTER数据,运用多种方法对蚀变信息进行提取。同时,对阈值的选取引入了1/4标准法,与传统门限法相结合进行对比分析,针对不同的蚀变信息提出了最适合研究区的斑岩铜矿蚀变提取方法。论文的主要研究内容与成果如下:(1)针对研究区地形地貌以及地质状况,对不同时期遥感数据进行对比分析,择优选取遥感数据。对遥感数据进行了辐射校正、波段组合等预处理,通过图像镶嵌、融合、影像对比度增强等处理制作了遥感影像图并进行线环构造信息的提取。(2)对遥感影像进行干扰地物的掩膜,运用波段比值法、主成分分析法、光谱角度匹配法、混合像元分解法以及逻辑运算法五种方法进行蚀变信息的提取。(3)采用OLI数据和ASTER数据提取蚀变信息并对其进行对比分析,二者提取异常在空间分布上基本一致,但ASTER数据在短波红外具有更好的光谱分辨率,在羟基的提取上具有一定优势,能够更深入的识别不同类型含羟基蚀变矿物。(4)本文引入1/4标准差法进行阈值切割,采用定量的方式,将1/4标准差法和传统门限法进行对比分析,通过互验取优的方式提高阈值切割的精度,该结果表明1/4标准差法能够有效的提取蚀变信息。(5)结合研究区地质概况、斑岩铜矿围岩、线环构造等信息,通过定性与定量相结合的方式,总结应用ASTER数据提取蚀变信息的方法优选序列,并对蚀变提取结果进行分析与叠加。叠加分析表明,玉龙矿区具有良好的矿化和蚀变分带。
[Abstract]:Based on the remote sensing prospecting model of porphyry copper deposits in the middle and south reaches of the southwest Sanjiang River and the project of target selection, this paper combines the regional geological background with the extraction of alteration information and regional tectonic information related to porphyry copper deposits by remote sensing technology. In this paper, an extra large Yulong porphyry copper mine is selected as the study area to study the technique of extracting alteration anomaly information from multi-source remote sensing data and the extraction of line ring structure information. In this paper, OLI data and ASTER data are selected, and many methods are used to extract alteration information. At the same time, a 1 / 4 standard method is introduced to select the threshold, which is compared with the traditional threshold method. According to the different alteration information, the most suitable method for extracting the alteration of porphyry copper deposits in the study area is put forward. The main research contents and results are as follows: (1) according to the topography and geological conditions of the study area, the remote sensing data of different periods are compared and analyzed, and the best remote sensing data are selected. The remote sensing data are preprocessed by radiation correction, band combination and image mosaic and fusion. Image contrast enhancement and other processing made remote sensing image map and the extraction of line ring structure information. (2) the remote sensing image interference mask, using band ratio method, principal component analysis method, spectral angle matching method, The mixed pixel decomposition method and the logic operation method are used to extract the alteration information. (3) using OLI data and ASTER data to extract the alteration information and analyze them, the anomaly extraction is basically the same in the spatial distribution. However, ASTER data have better spectral resolution in short-wave infrared, and have some advantages in extracting hydroxyl groups. (4) in this paper, 1 / 4 standard deviation method is introduced for threshold cutting. By using quantitative method, the 1 / 4 standard deviation method and traditional threshold method are compared and analyzed, and the accuracy of threshold cutting is improved by means of mutual test. The results show that the 1 / 4 standard deviation method can effectively extract alteration information. (5) combining with the geological situation of the study area, the surrounding rock of porphyry copper deposit, the line ring structure and so on, through the combination of qualitative and quantitative methods, The method of extracting alteration information from ASTER data is summarized, and the result of alteration extraction is analyzed and superposed. The superposition analysis shows that the Yulong mining area has good mineralization and alteration zoning.
【学位授予单位】：成都理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P627;P618.41

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