EADST

Land Use & Land Cover Datasets for Classification

  1. UC Merced Land Use Dataset (UCM)

    • UCM Dataset Webpage

    • Paper: Yi Yang and Shawn Newsam, "Bag-Of-Visual-Words and Spatial Extensions for Land-Use Classification," ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS), 2010.

  2. Brazilian Coffee Scenes Dataset (BCS)

    • BCS Dataset Webpage

    • Paper: O. A. B. Penatti, K. Nogueira, J. A. dos Santos. Do Deep Features Generalize from Everyday Objects to Remote Sensing and Aerial Scenes Domains? In: EarthVision 2015, Boston. IEEE Computer Vision and Pattern Recognition Workshops, 2015.

  3. SAT-4 and SAT-6 Airborne Datasets

    • SAT-4 & SAT-6 Dataset Webpage

    • Paper: Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert Dibiano, Manohar Karki and Ramakrishna Nemani, DeepSat - A Learning framework for Satellite Imagery, ACM SIGSPATIAL 2015.

  4. Aerial Scene Classification (AID)

    • AID Dataset Webpage

    • Paper: Xia, G. S., Hu, J., Hu, F., Shi, B., Bai, X., Zhong, Y., ... & Lu, X. (2017). AID: A benchmark data set for performance evaluation of aerial scene classification. IEEE Transactions on Geoscience and Remote Sensing, 55(7), 3965-3981.

  5. EuroSAT : Land Use and Land Cover Classification with Sentinel-2

    • EuroSAT Dataset Webpage

    • Papers:

      • [1] Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification. Patrick Helber, Benjamin Bischke, Andreas Dengel, Damian Borth. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019.

      • [2] Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. Patrick Helber, Benjamin Bischke, Andreas Dengel. 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018.

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