Automatic Building Detection Using Modified Grab Cut Algorithm from High Resolution Satellite Image

Abstract: Understanding aerial image / satellite image is highly demanded for generating maps, analyzing disaster scale, detecting changes to manage estate, etc. But it�s been usually done by human experts, so that it�s both slow and costly. Remote sensing community has been focused on this task but it�s still difficult to detect terrestrial objects automatically from high resolution satellite image with high accuracy. An important Object detection problem in remote sensing is the automated detection of buildings from satellite images. In this paper , Modified grab cut partitioning algorithm will be used to detect buildings in image which will take input from the previous objective and rather than min-max evaluation used in grab cut, we will use bio inspired optimization which will find a global optimal solution for maximum energy better than min max algorithm.

Keywords: Satellite Image, Thresholding, Shadow Detection, Grab cut Algorithm, Bacterial Foraging optimisation, Fuzzy Landscape.