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首页> 外文期刊>Journal of Tethys >Discriminative mapping of geological formations and silica-rich zones using ASTER images: A case study of Ardakan area, Iran .
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Discriminative mapping of geological formations and silica-rich zones using ASTER images: A case study of Ardakan area, Iran .

机译:使用ASTER图像对地质构造和富含二氧化硅的地区进行判别制图:以伊朗Ardakan地区为例。

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The Kalut-e-Ashrafa area is located in the north-east of Ardakan area in central Iran, Yazd province. This area promises copper mineralization. The most of the minerals in this study area are silica-rich veins and veinlets. Therefore, in order to identify geological formations with silica zones and to determine potential mineralization areas, ASTER images and remote sensing methods were used. Advanced Space-borne Thermal Emission and Reflection radiometer (ASTER) images helped to make discriminative maps of those geological formations and to spot silica rich zones in that area. For this purpose, Color-Ratio-Composite (CRC), False Color Composite (FCC) images of band4/band1 (Red), band3/band1 (Green), and band12/band14 (Blue) ratios were employed to enhance the FCC images and make them more distinctive, a decorrelation stretch procedure was applied to CRC images. Discrimination of silica-rich zones was performed using Matched Filtering methods applied to ASTER spectral bands. Geological formations were distinguishable in the FCC images of the study area, and the sand dunes were distinctive in the images with bluish pixels. Also, setting a threshold of x+2s on the digital numbers of the MF rule images provided implication that red areas had a high probability of being silica-rich zones.
机译:Kalut-e-Ashrafa地区位于亚兹德省伊朗中部Ardakan地区的东北部。该地区有望使铜矿化。该研究区中大多数矿物是富含二氧化硅的矿脉和小矿脉。因此,为了确定具有二氧化硅带的地质构造并确定潜在的矿化区域,使用了ASTER图像和遥感方法。先进的星载热辐射和反射辐射计(ASTER)图像有助于对这些地质构造进行区分地图,并发现该地区富含二氧化硅的区域。为此,采用band4 / band1(红色),band3 / band1(绿色)和band12 / band14(蓝色)比率的色彩比例复合(CRC),伪彩色复合(FCC)图像来增强FCC图像为了使它们更具特色,对CRC图像应用了去相关拉伸过程。使用应用于ASTER谱带的匹配滤波方法对富含二氧化硅的区域进行区分。在研究区域的FCC图像中,地质构造是可区分的,而带有蓝色像素的图像中,沙丘是独特的。同样,在MF规则图像的数字上设置x + 2s的阈值意味着红色区域很有可能是富含二氧化硅的区域。

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