Land Cover Classification in Foggy Conditions: Toward Robust Models
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DOI: 10.1109/lgrs.2022.3187779
Abstract: Robust semantic labeling of high-resolution remote sensing images (RSIs) in foggy conditions is crucial for automatic monitoring of land covers. This remains a challenging task owing to the low interclass differentiation yet high intraclass variance… read more here.
Keywords: classification foggy; toward robust; cover classification; foggy conditions ... See more keywords