{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-weakly-supervised-approach-for-estimating","title":"A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagery","arxiv_id":"1810.09528","date":"2018-10-22","proceeding":null,"authors":["Nathan Jacobs","Adam Kraft","Muhammad Usman Rafique","Ranti Dev Sharma"],"abstract":"We propose a neural network component, the regional aggregation layer, that\nmakes it possible to train a pixel-level density estimator using only\ncoarse-grained density aggregates, which reflect the number of objects in an\nimage region. Our approach is simple to use and does not require\ndomain-specific assumptions about the nature of the density function. We\nevaluate our approach on several synthetic datasets. In addition, we use this\napproach to learn to estimate high-resolution population and housing density\nfrom satellite imagery. In all cases, we find that our approach results in\nbetter density estimates than a commonly used baseline. We also show how our\nhousing density estimator can be used to classify buildings as residential or\nnon-residential.","url_abs":"http://arxiv.org/abs/1810.09528v1","url_pdf":"http://arxiv.org/pdf/1810.09528v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-weakly-supervised-approach-for-estimating","repo_url":"https://github.com/orbitalinsight/region-aggregation-public","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.09528","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}