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Fine-Grained Property Value Assessment using Probabilistic Disaggregation. (arXiv:2306.00246v1 [cs.CV])

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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.

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