Fusion of hyperspectral and lidar data using generalized composite kernels: A case study in Extremadura, Spain

Abstract

The light detection and ranging (LiDAR) data provides very valuable information about the height of the surveyed area which can be used as a source of complementary information for the classification of hyperspectral data, in particular when it is difficult to separate complex classes. In this work, we suggest to exploit the generalized composite kernel… (More)
DOI: 10.1109/IGARSS.2015.7325697

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