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