Unsupervised hyperspectral image analysis with projection pursuit and MRF segmentation approach

International Conference on Artificial Intelligence and Pattern Recognition 2008, AIPR 2008

Volumn , Issue , 2008, Pages 120-127

  Sarkar, A ^a   Vulimiri, A ^a   Bose, S ^a   Paul, S ^a   Ray, S S ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b INDIAN SPACE RESEARCH ORGANISATION   (India)

Author keywords

Entropy Index; Markov Random Field and Ordinal optimization; Projection pursuit

Indexed keywords

CLUSTER VALIDATION; ENTROPY INDICES; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE ANALYSIS; MARKOV RANDOM FIELD MODELS; ORDINAL OPTIMIZATION; PROJECTION PURSUITS; SEGMENTED REGIONS;

ARTIFICIAL INTELLIGENCE; ENTROPY; IMAGE ANALYSIS; MARKOV PROCESSES; OPTIMIZATION; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS;

SPECTROSCOPY;

EID: 84876752436     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. S. S. Chiang and C.I. Chang, "Unsupervised target detection in hyperspectral Images using projection pursuit" IEEE Trans. Geosci. Remote Sens., vol.39, no.7, pp. 1380-1392, 2001.
2. J. H. Friedman and J. W. Tukey, "A projection pursuit Algorithm for exploratory projection pursuit" IEEE Trans. Comput., vol. C-23, pp. 881-889, 1974.
3. Y. C. Ho, "The No-freelunch theorem and the human-machine interface" IEEE Control System Magazine, pp. 8-11, 1999.
4. P. J. Huber, "Projection pursuit", Ann. Staist., vol.13, no.2, pp. 435-475, 1985.
5. G. F. Huges, "On the mean accuracy of statistical pattern recognizers", IEEE Trans. Inform. Theory, vol. IT-14, no.1, pp. 55-63, 1968.
6. A. Ifarraeguerri and C. Chang, "Unsupervised Hyperspectral Image Analysis with Projection pursuit", IEEE Trans. Geosci. Remote Sens., vol.38, no. 6, pp. 2529-2538, 2000.
7. M. C. Jones and R. Sibson, "What is projection pursuit?", J. R. Statist. Soc. A, vol.150, no.1, pp.1-36, 1987.
8. L. O. Jimnez and D. A Landgrebe, "Hyperspectral data analysis and supervised feature reduction via projection pursuit", IEEE Trans Geosci. Remote Sens., vol.37, no. 6, pp 2653-2667, 1999.
9. Li Jinxiu, Li Junli and Wei Ping, "Pseudo colour coding of Medical Images Based on Gradient", Ist Int. Conf. on Bioinf. and Biomed. Eng., ICBBE, pp. 932-935, July 2007.
10. V. Kecman, Learning Soft computing Support vector Machines, Neural Networks, and Fuzzy logic Models, MIT press, Cambridge, 2001.
11. A. Renyi, Probability theory, Amsterdam, North-Holland, 1970.
12. A. Sarkar, M. K. Biswas, B. Kartikeyan, V. Kumar, K. L. Majundar and D. K. Pal, "A MRF Model Based Segmentation Approach to Classification for Multi-spectral Imagery", IEEE Trans. Geosci. Remote Sensing, vol.40, pp. 1102-1113, 2002.
13. F. D. Van der Meer, S. M. De Jong and W. Bakker, "Analytical techniques in spectrometry", Imaging Spectrometry: Basic principles and prospective applications, Kulwer Aca. Pub., Amsterdam, 2003.
14. J. Weng, Y. Zhang and W. S. Hwang, "Candid Covariance-Free Incremental Principal Component Analysis", IEEE Trans. Pattern Ana Mach Int, vol.25, No. 8, pp. 1034-1041, Aug. 2003.