Multiresolution remote sensing image clustering

IEEE Geoscience and Remote Sensing Letters

Volumn 6, Issue 3, 2009, Pages 533-537

  Wemmert, Cédric ^a   Puissant, Anne ^a   Forestier, Germain ^a   Gancarski, Pierre ^a  

^a UNIVERSITÉ DE STRASBOURG   (France)

Author keywords

Clustering; High spatial resolution (HSR); Multiresolution; Remote sensing image analysis

Indexed keywords

A-SPOTS; CLASSIFICATION PROCESS; CLUSTERING; HIGH SPATIAL RESOLUTION; HIGH SPATIAL RESOLUTION (HSR); MULTIRESOLUTION; MULTIRESOLUTION IMAGES; PRE-PROCESSING IMAGE; QUICKBIRD; REGION-BASED; REMOTE SENSING IMAGE ANALYSIS; REMOTE SENSING IMAGES; SATELLITE IMAGES; SEMANTIC LEVELS; SIMULTANEOUS USE; SPATIAL RESOLUTION; UNSUPERVISED CLASSIFICATION; URBAN AREAS;

IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; MULTIRESOLUTION ANALYSIS; RAILROAD ENGINEERING; REMOTE SENSING;

IMAGE FUSION;

EID: 67651152591     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2020825     Document Type: Article

References (11)

1. J. A. Benediktsson and I. Kanellopoulos, "Classification of multisource and hyperspectral data based on decision fusion," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 3, pp. 1367-1377, May 1999.
2. U. C. Benz, P. Hofmann, G. Willhauck, I. Lingenfelder, and M. Heynen, "Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information," ISPRS J. Photogram. Remote Sens., vol. 58, no. 3/4, pp. 239-258, Jan. 2004.
3. L. Bruzzone, R. Cossu, and G. Vernazza, "Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images," Image Fus., vol. 3, no. 4, pp. 289-297, Dec. 2002.
4. Y.-L. Chang, L.-S. Liang, C.-C. Han, J.-P. Fang, W.-Y. Liang, and K.-S. Chen, "Multisource data fusion for landslide classification using gener alized positive Boolean functions," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 6, pp. 1697-1708, Jun. 2007.
5. Y. Chibani, "Selective synthetic aperture radar and panchromatic image fusion by using the a trous wavelet decomposition," EURASIP J. Appl. Signal Process., no. 14, pp. 2207-2214, 2005.
6. R. G. Congalton, "A review of assessing the accuracy of classifications of remotely sensed data," Remote Sens. Environ., vol. 37, no. 1, pp. 35-46, Jul. 1991.
7. M. Fauvel, J. Chanussot, and J. A. Benediktsson, "Decision fusion for the classification of urban remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2828-2838, Oct. 2006.
8. G. Forestier, C. Wemmert, and P. Gançarski, "Multi-source images analysis using collaborative clustering," EURASIP J. Advances Signal Process. - Special Issue Mach. Learn. Image Process., p. 11, 2008.
9. G. F. Hughes, "On the mean accuracy of statistical pattern recognizers," IEEE Trans. Inf. Theory, vol. IT-14, no. 1, pp. 55-63, Jan. 1968.
10. L. I. Kuncheva, Combining Pattern Classifiers: Methods and Algorithms. New York: Wiley-Interscience, Jul. 2004.
11. J. B. MacQueen, "Some methods for classification and analysis of multi-variate observations," in Proc. 5th Berkeley Symp. Math. Statistics Probability, L. M. Le Cam and J. Neyman, Eds, 1967, vol. 1, pp. 281-297.