The increasing common use of incidental unrectified satellite images have many applications for mapping of earth. To demonstrate the semantic segmentation process, we present proposed solutions along with their evaluation metrics adapted from fully connected neural networks such as UNet and PSPNet. UNet architecture based model has outperformed PSPNet based architecture with overall Mean-IOU score of 0.50 on the test set.