Data Processing WAVELET ALGORITHM FOR SHORELINE CHANGE MODEL FROM RADARSAT- 1 SAR IMAGES

This paper introduces a new approach for utilizing the multi-resolution wavelet decomposing for shoreline change rate detection from RADARSAT-1 SAR image. The wavelet approximation of the Two RADARSAT-1 SAR images (1998-2004) defined by the sum two-dimensional wavelet functions at different scales and locations. The raw RADARSAT-1 SAR images were decomposed into a low and high frequencies images and then reconstructed. Then the zerocrossing was applied to the reconstructed image. Finally, the degree of the contribution Doc was applied to overcome the isolated pixels problem a long the coastline. The result shows that the clear edge detection of the coastline was performed by applying Doc. The result shows the shoreline rate change can be easily estimated by using the edge detection concept based on multi-resolution wavelet decomposing.