This repo contains the materials presented in the paper "Deep Learning Based Damage Detection on Post-Hurricane Satellite Imagery" submitted to the INFORMS 2018 Best Student Paper Competition.
The repo contains the following items:
- Source python code for image classification
- Source python code for extract, filter, crop the bounding boxes from raw satellite imagery
- Source code to download raw satellite imagery from Digital Globe website
- Source code to manipulate geoTIFF files using gdal library
- The short paper in PDF
- The poster presentation in PDF
- The dataset:
- train_another : the training data; 5000 images of each class
- validation_another: the validation data; 1000 images of each class
- test_another : the unbalanced test data; 8000/1000 images of damaged/undamaged classes
- test : the balanced test data; 1000 images of each class