Improving Land Cover Classification Using Extended Multi-Attribute Profiles (EMAP) Enhanced Color, Near Infrared, and LiDAR Data

Hyperspectral (HS) data have found a wide range of applications in recent years. Researchers observed that more spectral information helps land cover classification performance in many cases. However, in some practical applications, HS data may not be available, due to cost, data storage, or bandwid...

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Auteurs principaux:	Chiman Kwan, David Gribben, Bulent Ayhan, Sergio Bernabe, Antonio Plaza, Massimo Selva
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2020-04-01
Collection:	Remote Sensing
Sujets:	land cover classification hyperspectral EMAP synthetic bands LiDAR data fusion
Accès en ligne:	https://www.mdpi.com/2072-4292/12/9/1392
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