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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 11: IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations

IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling

February 1, 2023

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Authors

Chenlin Meng

Stanford University


Enci Liu

Stanford University


Willie Neiswanger

Stanford University


Jiaming Song

Stanford University


Marshall Burke

Stanford University


David Lobell

Stanford University


Stefano Ermon

Stanford University


DOI:

10.1609/aaai.v36i11.21462


Abstract:

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 sampling. Given a cost budget, our method selects a small number of representative areas by sampling from a learnable proposal distribution. Using importance sampling, we are able to accurately estimate object counts after processing only a small fraction of the images compared to an exhaustive approach. We show empirically that the proposed framework achieves strong performance on estimating the number of buildings in the United States and Africa, cars in Kenya, brick kilns in Bangladesh, and swimming pools in the U.S., while requiring as few as 0.01% of satellite images compared to an exhaustive approach.

Topics: AAAI

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HOW TO CITE:

Chenlin Meng||Enci Liu||Willie Neiswanger||Jiaming Song||Marshall Burke||David Lobell||Stefano Ermon IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling Proceedings of the AAAI Conference on Artificial Intelligence (2022) 12034-12042.

Chenlin Meng||Enci Liu||Willie Neiswanger||Jiaming Song||Marshall Burke||David Lobell||Stefano Ermon IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling AAAI 2022, 12034-12042.

Chenlin Meng||Enci Liu||Willie Neiswanger||Jiaming Song||Marshall Burke||David Lobell||Stefano Ermon (2022). IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. Proceedings of the AAAI Conference on Artificial Intelligence, 12034-12042.

Chenlin Meng||Enci Liu||Willie Neiswanger||Jiaming Song||Marshall Burke||David Lobell||Stefano Ermon. IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.12034-12042.

Chenlin Meng||Enci Liu||Willie Neiswanger||Jiaming Song||Marshall Burke||David Lobell||Stefano Ermon. 2022. IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. "Proceedings of the AAAI Conference on Artificial Intelligence". 12034-12042.

Chenlin Meng||Enci Liu||Willie Neiswanger||Jiaming Song||Marshall Burke||David Lobell||Stefano Ermon. (2022) "IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling", Proceedings of the AAAI Conference on Artificial Intelligence, p.12034-12042

Chenlin Meng||Enci Liu||Willie Neiswanger||Jiaming Song||Marshall Burke||David Lobell||Stefano Ermon, "IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling", AAAI, p.12034-12042, 2022.

Chenlin Meng||Enci Liu||Willie Neiswanger||Jiaming Song||Marshall Burke||David Lobell||Stefano Ermon. "IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.12034-12042.

Chenlin Meng||Enci Liu||Willie Neiswanger||Jiaming Song||Marshall Burke||David Lobell||Stefano Ermon. "IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 12034-12042.

Chenlin Meng||Enci Liu||Willie Neiswanger||Jiaming Song||Marshall Burke||David Lobell||Stefano Ermon. IS-Count: Large-Scale Object Counting from Satellite Images with Covariate-Based Importance Sampling. AAAI[Internet]. 2022[cited 2023]; 12034-12042.


ISSN: 2374-3468


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