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Morphological Change Detection in Terror Camps of Area 1 and 2 by Pre- and Post-strike Through MOAB: A

机译:打击前后通过MOAB检测1区和2区恐怖营地的形态变化:A

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Change Detection (CD) techniques have emerged out as an effective tool to monitor various positives and negatives aspects of any event, whether these events are related to the development or destruction of human civilization. These techniques provide us binary (Yes-No) and detailed information about various types of statistical changes that get developed in the land cover after any event. In this context, MOAB (Mother of All Bomb) strike on Islamic State militants in Achin, District of Nangarhar province, Afghanistan can be referred as a step taken to establish peace and stability in that disturbed region. Here, the morphological changing conditions are analysed by the texture based post classification CD technique by comparing the second-order statistics of pre-strike and post-strike images of Area 1 and Area 2. A novel technique to compute circular texture varying from 0° to 360° is fused with Decorrelation Stretcher (DS) technique. The possible hideouts of the terrorist before the strike and demolished structures after strike are highlighted by colour processing in Red, Green, and Blue (RGB) band forms. Quantification of the texture features along with visual interpretation through DS establishes a pattern in the changing texture features of the land cover in the affected areas.
机译:变更检测(CD)技术已经成为监视任何事件的各种正面和负面方面的有效工具,无论这些事件是与人类文明的发展还是破坏有关。这些技术为我们提供了二进制(是,否)和有关在任何事件后在土地覆被中发展起来的各种统计变化的详细信息。在这种情况下,MOAB(炸弹之母)对阿富汗楠格哈尔省阿钦的伊斯兰国激进分子的罢工可以说是在该动荡地区建立和平与稳定所采取的步骤。在此,通过比较基于区域1和区域2的打击前和打击后图像的二阶统计量,通过基于纹理的后分类CD技术分析了形态变化条件。一种计算从0°变化的圆形纹理的新技术使用解相关扩展器(DS)技术融合至360°。通过以红色,绿色和蓝色(RGB)波段形式进行颜色处理,突出显示了罢工前恐怖分子的可能藏身之处以及罢工后被拆除的建筑物。通过DS对纹理特征进行量化和视觉解释,可以在受影响区域中不断变化的土地覆盖物纹理特征中建立模式。

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