DocumentCode :
3296101
Title :
Directional variability in 1 m CASI imagery: an analysis using semi-variance range and slope shape
Author :
Burnett, Charles N. ; Daley, Nigel N M A ; Wulder, Mike ; Niemann, K. Olaf ; Goodenough, David G.
Author_Institution :
Dept. of Geogr., Victoria Univ., BC, Canada
Volume :
5
fYear :
1998
fDate :
6-10 Jul 1998
Firstpage :
2342
Abstract :
Methods to identify individual trees in high spatial resolution imagery begin with the identification of local maxima in a spectral channel. To increase the utility of the local maximum (LM) technique for tree location estimation using high resolution imagery, the authors have developed filters based on image directionality
Keywords :
forestry; geophysical signal processing; geophysical techniques; image processing; remote sensing; vegetation mapping; CASI imagery; directional variability; forest; forestry; geophysical measurement technique; high resolution image; high spatial resolution image; image directionality; image processing; individual tree identification; land surface; local maximum; optical imaging; remote sensing; semi-variance range; slope shape; terrain mapping; tree location estimation; vegetation mapping; Anisotropic magnetoresistance; Bars; Data mining; Filtering; Finite impulse response filter; Geography; Image analysis; Image resolution; Shape measurement; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
Type :
conf
DOI :
10.1109/IGARSS.1998.702207
Filename :
702207
Link To Document :
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