Application of Image Fusion Approaches for Image Differencing in Satellite Images

The increasing thwart for the environment has lead to a revolutionary change in protective measures. The surveillance of the complete ecosystem was a laborious effort during the days of field sensors based assessment practices for spatial object monitoring. After the rise of satellite image based applications for observing the spatiotemporal changes in both coastal regions and urban ecosystems, environmental sustainability has got a balance. In order to implement such applications with more accurate assessment, the spatial image interpretation methods are in need to be improved. This paper proposes a significant approach for water body change visualization by applying feature-level image fusion methods for tracing the extent of change occurred within a water body over the chosen time period. The Image Quality Assessment (IQA) metrics have been applied for quantitative assessment. The results achieved on superimposing the various point descriptors, wavelet descriptors, and other reduced features could highly portray the effective change visualization of the chosen water body.