DocumentCode :
1923126
Title :
Tree species discrimination using continuum removed airborne hyperspectral data
Author :
Odagawa, Shinya ; Okada, Kinya
fYear :
2009
fDate :
26-28 Aug. 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper describes a tree species discrimination using an airborne hyperspectral sensor, CASI-3. Continuum removal was used to extract spectral features in 540 to 740 nm wavelength. Similarity was evaluated using linear least square fitting. Although the continuum removed spectra between species were very similar, fifteen species of broad-leaved and coniferous trees have been discriminated well at crown scale.
Keywords :
feature extraction; geophysical signal processing; least squares approximations; vegetation mapping; CASI-3; airborne hyperspectral sensor; coniferous trees; continuum removed airborne hyperspectral data; linear least square fitting; tree species discrimination; Classification tree analysis; Cryptography; Data mining; Fitting; Hyperspectral imaging; Hyperspectral sensors; Least squares methods; Libraries; Reflectivity; Spatial resolution; Airborne hyperspectral sensor; CASI-3; Continuum removal; Tetracorder; Tree species discrimination;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on
Conference_Location :
Grenoble
Print_ISBN :
978-1-4244-4686-5
Electronic_ISBN :
978-1-4244-4687-2
Type :
conf
DOI :
10.1109/WHISPERS.2009.5289032
Filename :
5289032
Link To Document :
بازگشت