Goetz, A. F. H., G. Vane, J. E. Solomon, and B. N. Rock, 1985.
Imaging Spectrometry for Earth Remote Sensing, Science,
228:1147-1153.
Hsu, P.-H.,2003. Spectral Feature Extraction of Hyperspectral
Images using Wavelet Transform, Ph.D. Thesis, National
Cheng Kung University, Tainan, Taiwan, R.O.C..
Hsu, P.-H., 2007. Feature extraction of hyperspectral images
using wavelet and matching pursuit, ISPRS Journal of
Photogrammetry and Remote Sensing, 62(2):78-92.
Huang, N. E., Z. Shen, S.R. Long, M. C. Wu, H. H. Shin, Q.
Zheng, N.-C. Yen, C.. C. Tung, and H. H. Liu, 1998. The
empirical mode decomposition method and the Hilbert
spectrum for non-stationary time series analysis, Proc R. Soc.
London, A454: 903-995.
Huang, N. E., 2005. Introduction to Hilbert-Huang Transform
and Some Recent Developments. The Hilbert-Huang Transform
in Engineering, Taylor & Francis Group, LLC, Boca Raton,
pp.1-23.
Lee, C. and D. A. Landgrebe, 1993. Analyzing High-
Dimensional Multisepctral Data, [EEE Transactions on
Geoscience and Remote Sensing, 31: 792-800.
Mallat, S., 1989. A Theory for Multiresolution Signal
Decomposition: the Wavelet — Representation, [EEE
Transactions on Pattern Analysisi and Machine Intelligence,
11(7): 674-693.
Mallat, S. 1999. 4 Wavelet Tour on Signal Processing,
Academic Press, New York.
USGS Spectroscopy Lab, 1998. Imaging Spectroscopy Material
Maps: Cuprite Introduction.
hitp://speclab.cr.usgs.gov/map.intro.htmi (14 Jul. 2011).
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia