Modeling and detection in hyperspectral imagery

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 4, Issue , 1998, Pages 2273-2276

  Schweizer, Susan M ^a   Moura, Jose M F ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRIX; MARKOV PROCESSES; SENSORS; SIGNAL PROCESSING; SPECTROSCOPY;

COMPUTATIONALLY EFFICIENT; ESTIMATION ALGORITHM; GAUSS-MARKOV RANDOM FIELDS; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL IMAGING SENSORS; HYPERSPECTRAL SENSORS; MAN MADE OBJECTS; SPECTRAL BAND;

GAUSSIAN DISTRIBUTION;

EID: 0031643831     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.1998.681602     Document Type: Conference Paper

References (7)

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3. A. K. Jain. Fundamentals of Digital Image Processing. Prentice Hall, 1989. Chapter 2:Two Dimensional Systems and Mathematical Preliminaries.
4. S. Schweizer. Detection in hyperspectral imagery. Technical report, Carnegie Mellon University, September 1997. Doctoral Prospectus.
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6. J. Woods. Two-dimensional discrete Markovian fields. IEEE Transactions on Information Theory, 18:232-240, 1972.
7. X. Yu, L.Hoff, I. S. Reed, A. M. Chen, and L. Stotts. Automatic target detection and recognition in multiband imagery: A unified ML detection and estimation approach. IEEE Transactions on Image Processing, 6(1):143-156, January 1997.