Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood

Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood

Limitations and deficiencies of different remote sensing sensors in extraction of different objects caused fusion of data from different sensors to become more widespread for improving classification results. Using a variety of data which are provided from different sensors, increase the spatial and...

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Bibliographic Details
Main Authors:	B. Abbasi, H. Arefi, B. Bigdeli, M. Motagh, S. Roessner
Format:	Article
Language:	English
Published:	Copernicus Publications 2015-04-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/569/2015/isprsarchives-XL-7-W3-569-2015.pdf

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