Color Image Segmentation Using Modified Counter Propagation Network for Cloud Images

Satellite images are used to understand the land information. But it is difficult to identify the area which is below the clouds. So it is very important task to detect and removal the cloud images. The aim is to give the method for automatic detection and removal of cloud and its shadow contamination from satellite images. After detecting the contamination the method is used to replace the data from different images of the same area to minimize the cloud contamination effect. The Adaptive Brightness Threshold Algorithm (ABT) and Counter Propagation Network (CPN) are used for detection. CPN is able to show the better performance than ABT.