Semantic Boosting: Enhancing Deep Learning Based LULC Classification

Semantic Boosting: Enhancing Deep Learning Based LULC Classification

The classification of land use and land cover (LULC) is a well-studied task within the domain of remote sensing and geographic information science. It traditionally relies on remotely sensed imagery and therefore models land cover classes with respect to their electromagnetic reflectances, aggregate...

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Bibliographic Details
Main Authors:	Marvin Mc Cutchan, Alexis J. Comber, Ioannis Giannopoulos, Manuela Canestrini
Format:	Article
Language:	English
Published:	MDPI AG 2021-08-01
Series:	Remote Sensing
Subjects:	land use and land cover classification deep learning geospatial semantics data fusion
Online Access:	https://www.mdpi.com/2072-4292/13/16/3197

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