Land Cover Classification With Gaussian Processes Using Spatio-Spectro-Temporal Features
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DOI: 10.1109/tgrs.2023.3234527
Abstract: In this article, we propose an approach based on Gaussian processes (GPs) for large-scale land cover pixel-based classification with Sentinel-2 satellite image time series (SITS). We used a sparse approximation of the posterior combined with… read more here.
Keywords: spectro temporal; classification; spatio spectro; spatial information ... See more keywords