首页> 外文期刊>Journal of the Indian Society of Remote Sensing >Image Processing Techniques Applied to Satellite Data for Extracting Lineaments Using PCI Geomatica and Their Morphotectonic Interpretation in the Parts of Northwestern Himalayan Frontal Thrust
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Image Processing Techniques Applied to Satellite Data for Extracting Lineaments Using PCI Geomatica and Their Morphotectonic Interpretation in the Parts of Northwestern Himalayan Frontal Thrust

机译:图像处理技术应用于使用PCI Geomatica提取谱系的卫星数据及其在西北喜马拉雅山前推动的地带中的Morelphectonic解释

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摘要

Lineament extraction technique is a very considerate method for the study of regional structural geology and tectonics. Lineaments are geomorphological features associated with fractures at a scale ranging from meters to tens of kilometer. In this work, an attempt of automatic extraction of lineaments and their morphotectonic interpretation has been made by satellite image processing in the NW part of HFT. Lineaments are auto-extracted from Landsat-8 OLI using PCI Geomatica software to achieve this objective edge enhancement, and filtering techniques were used. The methodology of this work enumerates the following steps: (1) pansharpening, (2) principal component analysis, (3) directional filtering, (4) lineament extraction, (5) density map generation, and (6) trend analysis. Extracted lineaments were draped over Cartosat DEM-derived ancillary products to understand the morphotectonic condition of the area. The orientation analysis of the extracted lineaments indicates that the major trend of linear features in the study area is NW-SE and parallel to the major structural trend (NNW-SSE). The trend of lineaments is in concordance with the direction of major faults, fractures, and associated geomorphological features. The lineament density value is relatively higher in the high relief area owing to the presence of fractured rocks to the structurally active terrain along the Siwalik range. The overlapping of lineament over geological map, slope aspect map, and drainage map confirms that some of the lineaments identified in the area are morphological features associated with fractures and faults. The study reveals that analysis of extracted lineament with the geological map and DEM gives a good interpretation of active morphotectonics in the parts of northwestern HFT.
机译:线身提取技术是区域结构地质和构造研究的一种非常考虑的方法。谱系是与尺度范围为米至数十公里的骨折相关的地貌特征。在这项工作中,在HFT的NW部分中的卫星图像处理已经进行了自动提取依次提取及其与其最常胶解的解释。使用PCI Geomatica软件从Landsat-8 OLI自动提取谱系,以实现这种目标边缘增强,并使用过滤技术。该工作的方法枚举以下步骤:(1)Pansharpening,(2)主成分分析,(3)定向滤波,(4)谱系提取,(5)密度图生成,(6)趋势分析。提取的谱系覆盖了Cartosat Dem-Sem-Serived Ancillary产品,以了解该地区的连续性条件。提取的谱系的定向分析表明研究区域中线性特征的主要趋势是NW-SE,并与主要的结构趋势(NNW-SSE)平行。谱系的趋势与主要断层,骨折和相关地貌特征的方向一致。由于沿着Siwalik范围的结构上有源地形的存在裂缝岩石,在高浮雕区域中,衬线密度值相对较高。在地质地图,坡面地图和排水地图上的谱系重叠证实,该区域中鉴定的一些谱系是与骨折和故障相关的形态特征。该研究表明,随着地质地图和DEM提取的谱系分析良好地解释了西北HFT部分中的活性Morphoteccectics。

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