Código QR (código de barras bidimensional)

Multimodal Fusion of Mobility Demand Data and Remote Sensing Imagery for Urban Land-Use and Land-Cover Mapping

This paper aims at exploring the potentiality of the multimodal fusion of remote sensing imagery with information coming from mobility demand data in the framework of land-use mapping in urban areas. After a discussion on the function of mobility demand data, a probabilistic fusion framework is deve...

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Principais autores: Martina Pastorino, Federico Gallo, Angela Di Febbraro, Gabriele Moser, Nicola Sacco, Sebastiano B. Serpico
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-07-01
Serier:Remote Sensing
Fag:
urban land-use mapping
data fusion
Markov random fields
transport zones
mobility demand
Online adgang:https://www.mdpi.com/2072-4292/14/14/3370
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