Anomaly subspace detection based on a multi-scale Markov random field model

IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings

Volumn , Issue , 2004, Pages 444-447

  Goldman, Arnon ^a   Cohen, Israel ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT; ALGORITHMS; IMAGE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL MODELS; ROBUSTNESS (CONTROL SYSTEMS); SIGNAL DETECTION; TEXTURES;

AUTOMATIC DETECTION; FALSE ALARM RATE; GAUSSIAN MARKOV RANDOM FIELD (GMRF); MULTI-SCALE MARKOV RANDOM FIELD MODELS;

MARKOV PROCESSES;

EID: 13444294890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. R. L. Kashyap and R. Chellappa, "Estimation and choice of neighbors in spatial-interaction models of images," IEEE Transactions on Information Theory, vol. IT-29, no. 1, pp. 60-72. January 1983.
2. J. W. Woods, "Two-dimensional discrete Markovian fields," IEEE Transactions on Information Theory, vol. IT-18, no. 2, pp. 101-109, March 1972.
3. X. Descombes and M. Sigelle and F. Preteux, "Estimating gaussian Markov random field parameters in a nonstationary framework: Application to remote sensing imaging," IEEE Transactions on Image Processing, vol. 8, no. 4, pp. 490-502, April 1999.
4. R. Paget and I. D. Longstaff, "Texture synthesis via noncausal non-parametric multiscal Markov random field," IEEE Transactions on Image Processing, vol. 7, no. 6, pp. 925-931. June 1998.
5. G. G. Hazel. "Multivariate gaussian GMRF for multispectral scene segmantation and anomaly detection," IEEE Transactions on Geoscience and Remote Sensing, vol. 38. no. 3, pp. 1199-1211, May 2000.
6. L. L. Scharf and B. Friedlander, "Matched subspace detectors." IEEE Transactions on Signal Processing, vol. 42. no. 8. pp. 2146-2156. August 1994.
7. S. M. Schweizer and J. M. F. Moura, "Efficient detection in hyper-spectral imagery," IEEE Transactions on Image Processing, vol. 10, no. 4, pp. 584-597, April 2001.
8. S. M. Schweizer and J. M. F. Moura, "Hyperspectral imagery: Clutter adaption in anomaly detection," IEEE Transactions on Information Theory: vol. 46, no. 5, pp. 1855-1871, August 2000.
9. P. Zhao and J. Litva, "Consistency of modified LS estimation method for identifying 2-D noncausal SAR model parameters," IEEE Transactions on Automatic Control, vol. 40, no. 2, pp. 316-320, February 1995.