New hyperspectral discrimination measure for spectral characterization

Optical Engineering

Volumn 43, Issue 8, 2004, Pages 1777-1785

  Du, Yingzi ^a   Chang, Chein I ^b   Ren, Hsuan ^c   Chang, Chein Chi ^b   Jensen, James O ^d   D'Amico, Francis M ^d  

^a UNITED STATES NAVAL ACADEMY   (United States)

^b University of Marylandw Baltimore County   (United States)

^c NATIONAL CENTRAL UNIVERSITY   (Taiwan)

^d EDGEWOOD CHEMICAL BIOLOGICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; SPECTROMETERS; SPECTRUM ANALYSIS; VECTORS;

RELATIVE SPECTRAL DISCRIMINATORY ENTROPY; RELATIVE SPECTRAL DISCRIMINATORY POWER; RELATIVE SPECTRAL DISCRIMINATORY PROBABILITY; SPECTRAL ANGLE MAPPER; SPECTRAL INFORMATION DIVERGENCE; SPECTRAL INFORMATION MEASURE;

IMAGE ANALYSIS;

EID: 4644303661     PISSN: 00913286     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.1766301     Document Type: Article

References (7)

1. C.-I. Chang, "An information theoretic-based approach to spectral variability, similarity and discriminability for hyperspectral image analysis," IEEE Trans. Inf. Theory 46(5), 1927-1932 (2000).
2. C.-I. Chang, Hyperspectral Imaging: Techniques for Spectral Detection and Classification, Chapter 2, Kluwer Academic/Plenum Publishers, New York (2003).
3. C.-I. Chang and C. Brumbley, "Linear unmixing Kalman filtering approach to signature abundance detection, signature estimation and subpixel classification for remotely sensed images," IEEE Trans. Aerosp. Electron. Syst. 37(1), 319-330 (1999).
4. Q. Du and C.-I. Chang, "A hidden Markov model approach to spectral analysis for hyperspectral imagery," Opt. Eng. 40(10), 2277-2284 (2001).
5. T. Cover and J. Thomas, Elements of Information Theory, Wiley, New York (1991).
6. S. Kullback, Information Theory and Statistics, Dover, Gloucester, MA (1968).
7. R. A. Schowengerdt, Remote Sensing: Models and Methods for Image Processing, 2nd ed., Academic Press, San Diego (1997).