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- Title
Multimodal Fusion of Mobility Demand Data and Remote Sensing Imagery for Urban Land-Use and Land-Cover Mapping.
- Authors
Pastorino, Martina; Gallo, Federico; Di Febbraro, Angela; Moser, Gabriele; Sacco, Nicola; Serpico, Sebastiano B.
- Abstract
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 developed to take advantage of remote sensing and transport data, and their joint use for urban land-use and land-cover applications in urban and surrounding areas. Two different methods are proposed within this framework, the first based on pixelwise probabilistic decision fusion and the second on the combination with a region-based multiscale Markov random field. The experimental validation is conducted on a case study associated with the city of Genoa, Italy.
- Subjects
GENOA (Italy); REMOTE sensing; CITIES & towns; MARKOV random fields; PROBABILISTIC number theory
- Publication
Remote Sensing, 2022, Vol 14, Issue 14, pN.PAG
- ISSN
2072-4292
- Publication type
Academic Journal
- DOI
10.3390/rs14143370