SpaceNet

Machine learning in remote sensing has matured alongside an increase in the availability and resolution of satellite imagery, enabling advances in such tasks as land use classification, natural risk estimation, disaster damage assessment, and agricultural forecasting.

Data and Resources

Cite this as

Moule Lin, Weipeng Jing, Chao Li, András Jung (2024). Dataset: SpaceNet. https://doi.org/10.57702/oc610rsj

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2306.15035
Citation
  • https://doi.org/10.48550/arXiv.2206.13963
  • https://doi.org/10.48550/arXiv.2310.07638
  • https://doi.org/10.48550/arXiv.2107.04983
  • https://doi.org/10.48550/arXiv.2403.16677
Author Moule Lin
More Authors
Weipeng Jing
Chao Li
András Jung
Homepage https://www.amazon.com/SpaceNet-Dataset-Image-Data-Annotations