Unsupervised satellite image classification using Markov field topic model

IEEE Geoscience and Remote Sensing Letters

Volumn 10, Issue 1, 2013, Pages 130-134

  Xu, Kan ^a   Yang, Wen ^a   Liu, Gang ^a   Sun, Hong ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Label cost; Markov random field (MRF); Satellite image; Topic model; Unsupervised classification

Indexed keywords

CLASSIFICATION ALGORITHM; HIGH RESOLUTION SATELLITE IMAGES; MARKOV RANDOM FIELDS; SATELLITE IMAGE CLASSIFICATION; SATELLITE IMAGES; SEMANTIC CLASSIFICATION; TOPIC MODELING; UNSUPERVISED CLASSIFICATION;

ALGORITHMS; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; MARKOV PROCESSES; SEMANTICS;

SATELLITE IMAGERY;

EID: 84880377082     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2012.2194770     Document Type: Article

References (11)

1. W. Yi, H. Tang, and Y. Chen, "An object-oriented semantic clustering algorithm for high-resolution remote sensing images using the aspect model," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 3, pp. 522-526, May 2011.
2. D. Larlus and F. Jurie, "Latent mixture vocabularies for object categorization and segmentation," Image Vis. Comput., vol. 27, no. 5, pp. 523-534, Apr. 2009.
3. A. Bosch, A. Zisserman, and X. Munoz, "Scene classification via pLSA," in Proc. Eur. Conf. Comput. Vis., Graz, Austria, 2006, vol. 4, pp. 517-530.
4. M. Liénou, H. Maître, and M. Datcu, "Semantic annotation of satellite images using latent Dirichlet allocation," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 1, pp. 28-32, Jan. 2010.
5. J. Verbeek and B. Triggs, "Region classification with Markov field aspect models," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2007, pp. 1-8.
6. W. Yang, D. Dai, J. Wu, and C. He, "Weakly supervised polarimetric SAR image classification with multi-modal Markov aspect model," in Proc. ISPRS, TC VII Symp. (Part B), 100 Years ISPRS - Advancing Remote Sensing Science, Vienna, Austria, Jul. 5-7, 2010, pp. 669-673.
7. A. Delong, A. Osokin, H. N. Isack, and Y. Boykov, "Fast approximate energy minimization with label costs," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2010, pp. 2173-2180.
8. S. C. Zhu and A. L. Yuille, "Region competition: Unifying, snakes, region growing, and Bayes/MDL for multiband image, segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 18, no. 9, pp. 884-900, Sep. 1996.
9. D. J. C. MacKay, Information Theory, Inference, and Learning Algorithms, vol. 8. Cambridge, U.K.: Cambridge Univ. Press, 2003, p. 12.
10. N. Memarsadeghi, D. M. Mount, N. S. Netanyahu, J. Le Moigne, and M. de Berg, "A fast implementation of the ISODATA clustering algorithm," Int. J. Comput. Geom. Appl., vol. 17, no. 1, pp. 71-103, 2007.
11. A. Rosenberg and J. Hirschberg, "V-measure: A conditional entropy-based external cluster evaluation measure," in Proc. Joint Conf. EMNLP-CoNLL, 2007, pp. 410-420.