Title :
Derivative analysis of hyperspectral data for detecting spectral features
Author :
Tsai, Fuan ; Philpot, William
Author_Institution :
Cornell Univ., Ithaca, NY, USA
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;
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
DOI :
10.1109/IGARSS.1997.606410
