DL-SLICER: Deep Learning for Satellite-Based Identification of Cities with Enhanced Resemblance

This paper introduces a deep learning (DL) tool capable of classifying cities and revealing the features that characterize each city from a visual perspective. The study utilizes city view data captured from satellites and employs a methodology involving DL-based classification for city identificati...

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Auteurs principaux:	Ulzhan Bissarinova, Aidana Tleuken, Sofiya Alimukhambetova, Huseyin Atakan Varol, Ferhat Karaca
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2024-02-01
Collection:	Buildings
Sujets:	city identification city similarity urban planning satellite data machine learning deep learning
Accès en ligne:	https://www.mdpi.com/2075-5309/14/2/551
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