Managing the spectral-spatial mix in context classification using Markov random fields

IEEE Geoscience and Remote Sensing Letters

Volumn 5, Issue 2, 2008, Pages 311-314

  Jia, X ^a   Richards, J A ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AIRBORNE VISIBLE/INFRARED IMAGING SPECTROMETERS; ARTIFICIAL DATUM; CONTEXT CLASSIFICATIONS; LANDSAT THEMATIC MAPPERS; MARKOV RANDOM FIELDS; STRAIGHT-FORWARD METHODS; WEIGHTING COEFFICIENTS;

HIDDEN MARKOV MODELS; IMAGE SEGMENTATION;

NEMATIC LIQUID CRYSTALS;

EID: 64349105831     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2008.916076     Document Type: Article

References (9)

1. J. A. Richards and X. Jia, Remote Sensing Digital Image Analysis, 4th ed. Berlin, Germany: Springer-Verlag, 2006.
2. A. H. S. Solberg, T. Taxt, and A. K. Jain, "A Markov random field model for classification of multisource satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 34, no. 1, pp. 100-113, Jan. 1996.
3. F. Salzenstein and W. Pieczynski, "Parameter estimation in hidden fuzzy Markov random fields and image segmentation," Graph. Models Image Process., vol. 59, no. 4, pp. 205-220, 1997.
4. B. C. K. Tso and P. M. Mather, "Classification of multisource remote sensing imagery using a genetic algorithm and Markov random fields," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1255-1260, May 1999.
5. S. B. Serpico and G. Moser, "Weight parameter optimization by the Ho-Kashyap algorithm in MRF models for supervised image classification," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 12, pp. 3695-3705, Dec. 2006.
6. A. A. Farag, R. M. Mohaned, and A. El-Baz, "A unified framework for MAP estimation in remote sensing image segmentation," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 7, pp. 1617-1634, Jul. 2005.
7. S. Lakshmanan and H. Derin, "Simultaneous parameter estimation and segmentation of Gibbs random fields using simulated annealing," IEEE Trans. Pattern Anal. Mach. Intell., vol. 11, no. 8, pp. 799-813, Aug. 1989.
8. J. A. Richards and X. Jia, "A Dempster-Shafer relaxation approach to context classification," IEEE Trans. Geosci. Remote Sens., vol. 45, pt. 2, no. 5, pp. 1422-1431, May 2007.
9. [Online]. Available: http://dynamo.ecn.purdue.edu/̃biehl/MultiSpec