1. Multimodal Fusion of Mobility Demand Data and Remote Sensing Imagery for Urban Land-Use and Land-Cover Mapping.
- Author
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Pastorino, Martina, Gallo, Federico, Di Febbraro, Angela, Moser, Gabriele, Sacco, Nicola, and Serpico, Sebastiano B.
- Subjects
REMOTE sensing ,CITIES & towns ,MARKOV random fields ,PROBABILISTIC number theory - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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