Remote sensing segmentation benchmark

2012 IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2012

Volumn , Issue , 2012, Pages

  Mikeš, Stanislav ^a   Haindl, Michal ^a   Scarpa, Giuseppe ^b  

^a INSTITUTE OF INFORMATION THEORY AND AUTOMATION   (Czech Republic)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DYNAMIC IMAGES; ILLUMINATION INVARIANCE; NOISE RESISTANCE; REAL TIME PERFORMANCE; REMOTE SENSING IMAGES; SATELLITE IMAGES; SEGMENTATION ALGORITHMS; TEXTURE SEGMENTATION; WEB BASED;

IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; PATTERN RECOGNITION;

REMOTE SENSING;

EID: 84873197064     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PPRS.2012.6398320     Document Type: Conference Paper

References (5)

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3. R. Gaetano, G. Scarpa, and G. Poggi. Recursive texture fragmentation and reconstruction segmentation algorithm applied to vhr images. In Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 2009, volume 4, pages IV-101. IEEE, 2009.
4. M. Haindl and S. Mikeš. Texture segmentation benchmark. In B. Lovell, D. Laurendeau, and R. Duin, editors, Proceedings of the 19th International Conference on Pattern Recognition, ICPR 2008, pages 1-4, Los Alamitos, December 2008. IEEE Computer Society.
5. M. Haindl, S. Mikeš, and P. Vácha. Illumination invariant unsupervised segmenter. In M. Bayoumi, editor, IEEE 16th Int. Conf. on Image Processing - ICIP 2009, pages 4025-4028. IEEE, 2009.