Improved tree-structured segmentation of remote sensing images

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 3, Issue , 2003, Pages 1805-1807

  D'Elia, Ciro ^a   Poggi, Giovanni ^b   Scarpa, Giuseppe ^b  

^a UNIVERSITY OF CASSINO AND SOUTHERN LAZIO   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; FUNCTIONS; IMAGE SEGMENTATION; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY; TREES (MATHEMATICS);

BAYESIAN APPROACH; BINARY TASKS;

REMOTE SENSING;

EID: 0242541977     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. S.Z.Li, Markov random field modeling in image analysis, Springer-Verlag, 2001.
3. C.A.Bouman, M.Shapiro, "A multiscale random field model for Bayesian image segmentation," IEEE Trans. Image Processing, pp.162-177, Mar.1994.
4. I.Y.Kim, H.S.Yang, "A systematic way for region-based image segmentation based on Markov random field model," Pattern Recognition Letters, pp.969-976, Oct. 1994.
5. G.Poggi, A.R.P.Ragozini, "Image segmentation by tree-structured Markov random field," IEEE Signal Processing Letters, pp.155-157, July 1999.
6. C.D'Elia, G.Poggi, G.Scarpa, "A tree-structured Markov random field model for bayesian image segmentation," IEEE Trans. Image Processing, to appear.