Exploitation of hyperspectral imagery and lidar for landuse classification

The goal of this research is the development of near-autonomous methods to remotely classify and characterize regions of military interest, in support of the Terrain Modeling Project Office (TMPO) of the National Imagery and Mapping Agency (NIMA). These methods exploit remotely sensed data sets incl...

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Bibliographic Details

Published in:	IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174) Vol. 2; pp. 1013 - 1015 vol.2
Main Authors:	Perry, E.M., Foote, H.P., Petrie, G.M., Steinmaus, K.L., Irwin, D.E., Stephan, A.J.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 1998
Subjects:	Data mining Hyperspectral imaging Hyperspectral sensors Image registration Infrared imaging Laser radar Radar imaging Radar remote sensing Reflectivity Terrain mapping
Online Access:	Get full text
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