Dense Dilated Convolutions’ Merging Network for Land Cover Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.2976658
Abstract: Land cover classification of remote sensing images is a challenging task due to limited amounts of annotated data, highly imbalanced classes, frequent incorrect pixel-level annotations, and an inherent complexity in the semantic segmentation task. In… read more here.
Keywords: cover classification; land cover; dilated convolutions; network ... See more keywords