DocumentCode :
3106740
Title :
Spatial classification of WorldView-2 multi-angle sequence
Author :
Longbotham, Nathan ; Bleiler, Chad ; Chaapel, Chuck ; Padwick, Chris ; Emery, William ; Pacifici, Fabio
Author_Institution :
Dept. of Aerosp. Eng. Sci., Univ. of Colorado, Boulder, CO, USA
fYear :
2011
fDate :
11-13 April 2011
Firstpage :
105
Lastpage :
108
Abstract :
In this study, we investigate the ability of the spatial data from a multi-angle WorldView-2 image sequence to improve classification accuracy of an urban scene. Specifically, we investigate texure and morphological features as well as a digital height map developed from thirteen images collected over downtown Atlanta, GA in Dec. 2009. These images were collected sequentially by WorldView-2 within two minutes and range from approximately 30 degrees off-nadir southward to 30 degrees off-nadir northward.
Keywords :
image sequences; pattern classification; town and country planning; WorldView-2 multiangle sequence; image sequence; spatial classification; urban scene; Bridges; Buildings; Morphology; Remote sensing; Satellites; Spatial resolution; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2011 Joint
Conference_Location :
Munich
Print_ISBN :
978-1-4244-8658-8
Type :
conf
DOI :
10.1109/JURSE.2011.5764730
Filename :
5764730
Link To Document :
بازگشت