Abstract
Change Detection (CD) techniques have attracted researcher to monitor the changes in the land use and land cover. These techniques provide us binary as well as detailed information about various types of changes. In the part A, we have monitored the textual changes that have occurred in the land cover of Area 1 and Area 2 due to MOAB (Mother of All Bombs) bombing. Here, we have continued the approach to identify the pattern of the changing texture of Area 3 and Area 4. Here, we have evaluated the GLCM (Gray level co-occurrence matrix) features of the land cover, followed by image enhancement using Decorrelation stretcher (DS). Later, through DS images terrorist locations are identified and highlighted. Finally, the patterns of the changing texture provide information about changes that have occurred in the texture features (TF) of the land cover.
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Acknowledgements
The authors would like to pay their sincere thanks to ‘Digital Globe - See a Better World with High-Resolution Satellite Images’, ‘Alcis: Geo-Explorer’, and ‘Google Images’ for providing concept, motivation and satellite images used in this research work.
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Shakya, A.K., Ramola, A., Kandwal, A., Mittal, P., Prakash, R. (2019). Morphological Change Detection in Terror Camps of Area 3 and 4 by Pre- and Post-strike Through MOAB: B. In: Bera, R., Sarkar, S., Singh, O., Saikia, H. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 537. Springer, Singapore. https://doi.org/10.1007/978-981-13-3450-4_30
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DOI: https://doi.org/10.1007/978-981-13-3450-4_30
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