Analysis of images SAR to flood prevention implementing fusion methods

Abstract

To improve the characteristics of images taken by the IDEAM, the results obtained applying two algorithms to Synthetic Aperture Radar images or SAR images in regions of Colombia affected by natural disasters are discussed and compared. Two techniques of digital image processing were used, pyramidal fusion Morphological and the Discrete Wavelet Transform. An analysis of the responses obtained by each method was performed for determining which method is suitable according to pixellevel image fusion, for testing purposes and compare the two techniques, data about of entropy and correlation was calculated in MATLAB®. The results obtained show that the morphological fusion method presents a high performance in the SAR image processing, significantly improving the grouping of points on the test image.