Extracting Features from Satellite Imagery to Understand the Size and Scale of Housing Sub-Markets in Madrid

The following paper proposes a novel machine learning approach to the segmentation of urban housing markets. We extract features from globally available satellite imagery using an unsupervised machine learning model called MOSAIKS, and apply a k-means clustering algorithm to the extracted features t...

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Bibliographic Details

Published in:	Land
Main Authors:	Gladys Elizabeth Kenyon, Dani Arribas-Bel, Caitlin Robinson
Format:	Article
Language:	English
Published:	MDPI AG 2024-04-01
Subjects:	housing sub-market scale satellite imagery built environment
Online Access:	https://www.mdpi.com/2073-445X/13/5/575