Modeling urban growth using video prediction technology: A time‐dependent convolutional encoder–decoder architecture

This paper presents a novel methodology for urban growth prediction using a machine learning approach. The methodology treats successive historical satellite images of an urban area as a video for which future frames are predicted. It adopts a time‐dependent convolutional encoder–decoder architectur...

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Veröffentlicht in:	Computer-aided civil and infrastructure engineering Jg. 35; H. 5; S. 430 - 447
Hauptverfasser:	Jaad, Ahmed, Abdelghany, Khaled
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc 01.05.2020
Schlagworte:	Architecture Coders Horizon Machine learning Methodology Parameter sensitivity Satellite imagery Sensitivity analysis Time dependence Urban areas Urban development
ISSN:	1093-9687, 1467-8667
Online-Zugang:	Volltext
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