首页> 外文会议>Asian conference on remote sensing;ACRS 2008 >MASSIVE SULPHIDE DEPOSITS EXPLORATION USEING ASTER IMAGE ANALYSIS
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MASSIVE SULPHIDE DEPOSITS EXPLORATION USEING ASTER IMAGE ANALYSIS

机译:使用Aster图像分析进行大规模硫化物矿床勘探

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This study aims at exploiting multi-spectral data, acquired from ASTER, satellite to explore areas of hydrothermal alteration and Gossan including massive Sulphide deposits. Auger sulphide is a good source of raw materials such as economic copper, silver, gold and zinc. Major steps involved in the analysis of ASTER satellite data have been discussed using ERDAS Imagine Software. The extent of interdependence among spectral regions, hydrothermal alteration and Gossan has been studied through digital image analysis and classification. The visual interpretation techniques have been employed to identify and earmark hydrothermal alteration and Gossan zones on the satellite image for carrying out subsequent supervised image classification. Imagery Analysis was supported by the color composite, developed by exposing bands 4, 6 & 9 with Red, Green and Blue radiations respectively, to make iron-rich cap or Gossan and hydrothermal alteration zones prominent. The Gossan-laden regions appeared in Red color while the hydrothermal alteration zones took color range from reddish green to light green. Image enhancement has also been achieved through the application of image ratioing techniques and an improved color composite was developed by exposing results of band ratios of band 5 & band 7, band 5 & band 4, and band 2 & band 1 with Red, Green and Blue radiations respectively. Resultantly, the combination of visual interpretation, previous knowledge of the landcover and digital image processing techniques applied on the ASTER Satellite imagery in multi-spectral mode, hasproved beneficial in studying hydrothermal alteration zones and Gossan in the Nuqrah area.
机译:这项研究旨在利用从ASTER,卫星获取的多光谱数据来探索热液蚀变和Gossan的区域,包括大量的硫化物矿床。俄歇硫化物是良好的原材料来源,例如经济的铜,银,金和锌。已使用ERDAS Imagine软件讨论了ASTER卫星数据分析中涉及的主要步骤。通过数字图像分析和分类研究了光谱区域,热液蚀变和戈桑之间相互依存的程度。视觉解释技术已被用来识别卫星图像上的热液蚀变和戈桑带,并为其指定标记,以便进行随后的监督图像分类。彩色复合材料支持图像分析,该复合材料通过分别暴露于红色,绿色和蓝色辐射的波段4、6和9来显影,以使富含铁的盖或戈桑和热液蚀变带突出。充满戈桑的区域呈红色,而热液蚀变带的颜色范围从红绿色到浅绿色。通过应用图像比例技术也可以实现图像增强,并且通过暴露带5和7,带5和4以及带2和1的带,红色,绿色和红色的带比率的结果,开发了改进的色彩合成。蓝色辐射分别。结果,将视觉解释,先前对土地覆盖物的了解以及在多光谱模式下应用于ASTER卫星图像的数字图像处理技术相结合,就形成了 事实证明,对研究努克拉地区的热液蚀变带和戈桑很有帮助。

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