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
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;
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
DOI :
10.1109/URS.2009.5137636
