Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas

In this paper, we propose an analysis on the joint effect of hyperspectral and light detection and ranging (LIDAR) data for the classification of complex forest areas. In greater detail, we present: 1) an advanced system for the joint use of hyperspectral and LIDAR data in complex classification pro...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2008-05, Vol.46 (5), p.1416-1427
Hauptverfasser:	Dalponte, M., Bruzzone, L., Gianelle, D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Channels Classification Classifiers Data fusion Elevation forestry Forests hyperspectral images Hyperspectral imaging Hyperspectral sensors Image analysis Laser radar Lidar light detection and ranging (LIDAR) data Maximum likelihood detection multisensor classification Remote sensing Robustness Studies Support vector machine classification Support vector machines
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