• Corpus ID: 245218930

IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling

@article{Meng2021ISCOUNTLO,
  title={IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling},
  author={Chenlin Meng and Enci Liu and Willie Neiswanger and Jiaming Song and M. Burke and D. Lobell and Stefano Ermon},
  journal={ArXiv},
  year={2021},
  volume={abs/2112.09126}
}
Object detection in high-resolution satellite imagery is emerging as a scalable alternative to on-the-ground survey data collection in many environmental and socioeconomic monitoring applications. However, performing object detection over large geographies can still be prohibitively expensive due to the high cost of purchasing imagery and compute. Inspired by traditional survey data collection strategies, we propose an approach to estimate object count statistics over large geographies through… 

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