Project title

Semantic Segmentation of Satellite Images using Deep Learning

Submitted to:

  • Dr. Kuldeep Chaurasia

Submitted By:

  1. Ravi Ranjan Singh
  2. Meghana Ahire
  3. Rijul Nandy
  4. Omkar Pawar

Project Description

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.

Project Poster

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