DocumentCode
2321325
Title
A target detection algorithm for urban areas using HSRH imagery
Author
Bo, Du ; Liangpei, Zhang ; Pingxiang, Li ; Yanfei, Zhong
Author_Institution
State Key Lab. of Inf. Eng. on Survey, Mapping & Remote Sensing, Wuhan Unversity, Wuhan, China
fYear
2009
fDate
20-22 May 2009
Firstpage
1
Lastpage
5
Abstract
This paper presents an target detection algorithm focusing on making full use of both spatial and spectral features of the high spatial resolution hyperspectral (HSRH) imagery. It use the spatial relationship between pixels in the finite impulse filter with the low dimension data transferred from the original imagery. Experiments show it performs better than the method solely depending on spectral features.
Keywords
geophysical techniques; object detection; remote sensing; finite impulse filter; high spatial resolution hyperspectral imagery; spatial feature; spectral feature; target detection algorithm; Detectors; Hyperspectral imaging; Hyperspectral sensors; Image resolution; Markov random fields; Object detection; Pixel; Remote sensing; Spatial resolution; Urban areas; Hyperspectral imagery; finite impulse response detector;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Event, 2009 Joint
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3460-2
Electronic_ISBN
978-1-4244-3461-9
Type
conf
DOI
10.1109/URS.2009.5137636
Filename
5137636
Link To Document