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Segmentation of Satellite Images for Damage Assessment::Natural Calamity Images Perspective

Image processing has been proved to be an effective tool for analysis in various fields and applications in engineering. Among the segmentation methods, image thresholding technique is one of the most well-known methods due to its simplicity, robustness, and high precision. The primary objective of image processing is to optimize visualization of particular thematic data set. The type of image processing method and strategy is broadly influenced by the application and its objectives. Use of satellite imagery has become an integral aspect in planning of multiple domains which include disaster management and analysis of natural calamity images. In this paper an attempt is made to develop an efficient segmentation method for satellite images of natural calamity images for damage assessment using a hybrid algorithm EGA & E-BFOA and proved to be an efficient to evaluate index parameters for damage assessment. Disaster management is one such area where the changes brought in by the disaster has to be assessed for effective rescue and rehabilitation.