With the increase of digital world, image processing researchers are working in different field. This work has also focus on haze image segmentation. As use of proper pre-processing steps with genetic model makes a new approach for segmentation of SAR images from various remote sensing images. Here proposed work estimate the segment region which was TLBO algorithm. In order to test the work experiment dataset contain images from different environment with various scene of real dataset. Experiment output shows that proposed work is better as compare to previous approach of segmentation. Results shows that proposed work has improved the accuracy of segmentation in SAR images by removing unwanted information. Here execution time of the work was also reduce as genetic algorithm segmented image with less number of iterations. So it is obtained that proposed work has effective improved the different aspects of the segmentation with change detection.
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