Fine-Grained Property Value Assessment using Probabilistic Disaggregation
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Abstract (arXiv)
The monetary value of a given piece of real estate, a parcel, is often readily available from a geographic information system. However, for many applications, such as insurance and urban planning, it is useful to have estimates of property value at much higher spatial resolutions. We propose a method to estimate the distribution over property value at the pixel level from remote sensing imagery. We evaluate on a real-world dataset of a major urban area. Our results show that the proposed approaches are capable of generating fine-level estimates of property values, significantly improving upon a diverse collection of baseline approaches.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 6 of its 7 references that are in the map. First posted on arXiv 31 May 2023.
Builds on
6 of 7 references.
References · 6
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- 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
- 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,160
- 2020CNN-based Density Estimation and Crowd Counting: A Surveycited by 43
- 2018A Weakly Supervised Approach for Estimating Spatial Density Functions from High-Resolution Satellite Imagerycited by 6
- 2020Counting dense objects in remote sensing imagescited by 3
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Citing papers per year: 2024: 1.
1 paper.