├── .gitignore └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | .Rproj.user 2 | .Rhistory 3 | .RData 4 | .Ruserdata 5 | .Rproj 6 | *.Rproj -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Deep Satellite Resources 2 | 3 | List of labelled datasets, projects, and papers relevant to classifying satellite imagery using deep learning. 4 | 5 | - Datasets 6 | - [SpaceNet](https://aws.amazon.com/public-datasets/spacenet/) 7 | - [Object Detection on SpaceNet](https://medium.com/the-downlinq/object-detection-on-spacenet-5e691961d257) 8 | - [SAT-4 and SAT-6](http://csc.lsu.edu/~saikat/deepsat/) 9 | - [Brazilian Coffee Scenes Dataset](http://www.patreo.dcc.ufmg.br/downloads/brazilian-coffee-dataset/) 10 | - [Kaggle: Dstl Satellite Imagery](https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection/data]) 11 | - [Deep learning for Earth Observation](https://github.com/nshaud/DeepNetsForEO) 12 | 13 | - Projects 14 | - [Project Using OSM Roads](https://github.com/trailbehind/DeepOSM) 15 | 16 | - Papers 17 | - [DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs](https://arxiv.org/abs/1606.00915) 18 | - [SEMANTIC SEGMENTATION OF AERIAL IMAGES WITH AN ENSEMBLE OF CNNS](http://intanto.net/publications/Marmanis_isprs16.pdf) 19 | 20 | - [A novel spectral index to automatically extract road networks from WorldView-2 satellite imagery](http://www.sciencedirect.com/science/article/pii/S111098231400043X) 21 | - [Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks](http://www.mdpi.com/2072-4292/8/4/329/html) 22 | - [Scene Classification via a Gradient Boosting Random Convolutional Network Framework](https://www.researchgate.net/publication/283523609_Scene_Classification_via_a_Gradient_Boosting_Random_Convolutional_Network_Framework) 23 | - [Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks](https://arxiv.org/abs/1609.06846) 24 | - []() --------------------------------------------------------------------------------