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基于多源数据的遥感地质构造解译
Based on Multi-source Data of Remote Sensing Geological Structure Interpretation
【作者】 张健;
【导师】 韩玲;
【作者基本信息】 长安大学 , 测绘工程(专业学位), 2015, 硕士
【摘要】 在自然界中,地质构造普遍存在,而矿产资源的形成与地质构造有着非常密切的关系,因此准确地解译出地质构造对于矿产资源勘查具有重要的意义。地质构造在遥感影像上表现为一定的特征标志信息,通过遥感技术,可以在遥感影像上直接或间接地解译出地质构造信息。Landsat 8影像数据光谱特性较好,可以在色调上凸显地物及地质构造信息;“资源三号”高分辨率影像具有较高的空间分辨率,地物纹理特征表现的更加清晰,具有较好的目视解译优势。本文依托“内蒙古包白地区金成矿作用与岩浆作用关系及找矿靶区优选”项目,以浩尧尔忽洞地区为研究区域,综合遥感影像、地质图及谷歌影像等多种数据,对地质构造信息进行遥感解译。本文以ENVI和ArcGIS软件为数据处理平台,首先利用ENVI软件对遥感影像数据进行正射校正、图像融合、图像增强等预处理,然后根据研究区域的范围大小,利用ArcGIS软件对遥感影像数据进行裁剪拼接,并对地质图进行地理配准处理,最后在ArcGIS软件中综合遥感影像、地质图及谷歌影像等数据资料,运用波段组合、空间滤波等数字图像处理技术,对研究区域的地貌水系信息、地层信息及地质构造信息进行详细解译,并绘制解译图,最后对水系与地质构造之间的关系、地质构造与成矿之间的关系进行探索研究。
【Abstract】 In the nature, geological structures are widespread, and the formation of mineral resources and geological structure has a very close relationship, so accurately interpret the geological structure has an important significance for mineral resources exploration. Geological structure performance for certain characteristic signs on the remote sensing image information, using remote sensing techniques, can be directly or indirectly, on the remote sensing image interpretation of geological structure information. Landsat 8 image data has good spectral characteristics, can be in tonal on highlighting features and geological structure information; "Resources satellite three" high resolution image have high spatial resolution, spatial texture characteristic feature more clearly, has good visual interpretation. In this paper, based on "Inner Mongolia package white relationship between gold mineralization and magmatism and prospecting target optimization" project, to HaoYaoEr hole area as the study area, integrated remote sensing image, geological map and Google images and other data, remote sensing geological structure information.Based on ArcGIS and ENVI software for data processing platform, first using the ENVI software for remote sensing image data are firing correction, image fusion, image enhancement, such as pretreatment, and then according to the scope of the study area size, using ArcGIS software to cut and remote sensing image data, and the geological map are geographic registration process, and finally in the ArcGIS software integrated remote sensing image data, geological map and Google images, using digital image processing technology such as band combination, spatial filtering, landscape water system information of the study area, and the detailed information of geological structure, stratigraphic information and map interpretation, finally, the water system and the relationship between the geological structure, geological structure and metallogenic study to explore the relationship between.
【Key words】 Geological structure; Landsat 8 image data; drainage; mineralization;