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Automatic Lineament Extraction Method in Mineral Exploration Using CANNY Algorithm and Hough Transform
Geotectonics ( IF 1.0 ) Pub Date : 2020-07-20 , DOI: 10.1134/s0016852120030085
M. Mohammadpour , A. Bahroudi , M. Abedi

Abstract

Copper mineralization in Kahang porphyry mining district as a tectonically active region in the center of Iran, at the middle of Urmia–Dokhtar magmatic assemblage (UDMA), has been drastically controlled by structural lineaments. Determination of these footprint features is a good guide to identify the location of ore occurrences. One way to recognize lineaments is to process satellite imagery along with geophysical data. Although the visual extraction of lineaments from such data set is the most common method, automatic methods for detecting lineaments can highly reduce user errors and runtime. The most efficient automated methods in this regard are those that simultaneously take edge detection filters with lineament extraction algorithms into consideration. In this work, the CANNY algorithm was employed as an edge-detector filter at first and later Hough transform was used to extract linear features from satellite imagery and geophysical magnetometry data. The proposed methods were implemented on the high-resolution imagery data collected by QuickBird satellite along with ground-based magnetometry data to extract the shallow and deep-seated lineaments. After investigating and plotting this structural controller in a map, the dominant orientation was in the NE–SW direction perpendicular to the UDMA. Generated lineament density map also indicated that the eastern, southeast, and western portions of the area had high potential for porphyry copper mineralization.


中文翻译:

基于CANNY算法和Hough变换的矿产勘查中的线性自动提取方法。

摘要

在伊朗中部,位于Urmia-Dokhtar岩浆组合(UDMA)中部的构造活动区,Kahang斑岩矿区的铜矿化已受到构造构造的严格控制。确定这些足迹特征是确定矿石发生位置的良好指南。识别界线的一种方法是将卫星图像与地球物理数据一起处理。尽管从此类数据集中直观提取线条是最常见的方法,但是自动检测线条的方法可以极大地减少用户错误和运行时间。在这方面,最有效的自动化方法是同时考虑边缘检测滤波器和线条提取算法的方法。在这项工作中 首先使用CANNY算法作为边缘检测滤波器,然后使用Hough变换从卫星图像和地球物理磁力数据中提取线性特征。所提出的方法是在QuickBird卫星收集的高分辨率图像数据以及基于地面的磁力测量数据的基础上实施的,以提取浅层和深层线粒体。在对该结构控制器进行调查和绘制后,其主导方向是垂直于UDMA的NE-SW方向。生成的线素密度图还表明该地区的东部,东南和西部地区具有斑岩铜矿化的高潜力。所提出的方法是在QuickBird卫星收集的高分辨率图像数据以及基于地面的磁力测量数据的基础上实施的,以提取浅层和深层线粒体。在对该结构控制器进行调查和绘制后,其主导方向是垂直于UDMA的NE-SW方向。生成的线素密度图还表明该地区的东部,东南和西部地区具有斑岩铜矿化的高潜力。所提出的方法是在QuickBird卫星收集的高分辨率图像数据以及基于地面的磁力测量数据的基础上实施的,以提取浅层和深层线粒体。在对该结构控制器进行调查和绘制后,其主导方向是垂直于UDMA的NE-SW方向。生成的线素密度图还表明该地区的东部,东南和西部地区具有斑岩铜矿化的高潜力。
更新日期:2020-07-20
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