DocumentCode
2119398
Title
Derivative analysis of hyperspectral data for detecting spectral features
Author
Tsai, Fuan ; Philpot, William
Author_Institution
Cornell Univ., Ithaca, NY, USA
Volume
3
fYear
1997
fDate
3-8 Aug 1997
Firstpage
1243
Abstract
A derivative algorithm was adapted to deal with spectral data acquired in narrow, continuous bands as truly spectrally continuous data. An investigation on intelligently detecting spectral features from a synthetic spectrum and a laboratory vegetation spectrum demonstrated the use of derivative algorithm in extraction of subtle information at different spectral scales of interest
Keywords
geophysical signal processing; geophysical techniques; remote sensing; derivative algorithm; derivative analysis; geophysical measurement technique; hyperspectral remote sensing; land surface; multidimensional signal processing method; multispectral remote sensing; narrow continuous bands; optical imaging; spectral feature detection; spectral scale; terrain mapping; vegetation mapping; Approximation algorithms; Computer vision; Data analysis; Data mining; Feature extraction; Hyperspectral imaging; Hyperspectral sensors; Remote sensing; Smoothing methods; Spectroscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN
0-7803-3836-7
Type
conf
DOI
10.1109/IGARSS.1997.606410
Filename
606410
Link To Document