Hierarchical clustering algorithm for land cover mapping using satellite images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 5, Issue 3, 2012, Pages 762-768

  Senthilnath, J ^a   Omkar, S N ^a   Mani, V ^a   Tejovanth, N ^b   Diwakar, P G ^c   Archana Shenoy, B ^b  

^a INDIAN INSTITUTE OF SCIENCE   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY KARNATAKA   (India)

^c INDIAN SPACE RESEARCH ORGANISATION   (India)

Author keywords

Glowworm swarm optimization; mean shift clustering; niche particle swarm optimization

Indexed keywords

AUTOMATIC GENERATION; DATA POINTS; HIERARCHICAL CLUSTERING ALGORITHMS; K-MEANS ALGORITHM; LAND COVER MAPPING; LANDSAT 7; MEAN SHIFT; MULTISPECTRAL SATELLITE IMAGE; NICHE PARTICLE SWARM OPTIMIZATIONS; NUMBER OF CLUSTERS; PARAMETRIC METHOD; PERFORMANCE COMPARISON; QUICKBIRD; SATELLITE IMAGES; SPLITTING AND MERGING; SPLITTING METHOD; SWARM OPTIMIZATION; THEMATIC MAPPERS;

PARTICLE SWARM OPTIMIZATION (PSO);

CLUSTERING ALGORITHMS;

ACCURACY ASSESSMENT; ALGORITHM; CLUSTER ANALYSIS; HIERARCHICAL SYSTEM; LAND COVER; MAPPING; MULTISPECTRAL IMAGE; OPTIMIZATION; PARAMETERIZATION; SATELLITE IMAGERY;

EID: 84863520764     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2187432     Document Type: Article

References (22)

1. L. David, "Hyperspectral image data analysis as a high dimensional signal processing problem," IEEE Signal Process. Mag., vol. 19, no. 1, pp. 17-28, 2002.
2. S. Bandyopadhyay and U. Maulik, "Genetic clustering for automatic evolution of clusters and application to image classification," Pattern Recognit., vol. 35, no. 6, pp. 1197-1208, 2002. (Pubitemid 34262330)
3. J. Senthilnath, S. N. Omkar, and V. Mani, "Clustering using firefly algorithm: Performance study," Swarm and Evolutionary Computation, vol. 1, no. 3, pp. 164-171, 2011.
4. Y. Tarabalka, J. A. Benediktsson, and J. Chanussot, "Spectral- spatial classification of hyperspectral imagery based on partitional clustering techniques," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 8, pp. 2973-2987, 2009.
5. J. Senthilnath, S. N. Omkar, V. Mani, N. Tejovanth, P. G. Diwakar, and S. B. Archana, "Multi-spectral satellite image classification using glowworm swarm optimization," in Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), 2011, pp. 47-50.
6. A. K. Jain and R. C. Dubes, Algorithms for Clustering Data. Englewood Cliffs, NJ: Prentice-Hall, 1988.
7. C. Ding and X. He, "Cluster merging and splitting in hierarchical clustering algorithms," in Proc. IEEE ICDM, 2002, pp. 1-8.
8. Y. Tarabalka, J. Chanussot, and J. A. Benediktsson, "Segmentation and classification of hyperspectral images using watershed transformation," Pattern Recognit., vol. 43, no. 7, pp. 2367-2379, 2010, DOI: 10.1016/j.patcog.2010.01.016.
9. Y. Tarabalka, J. C. Tilton, J. A. Benediktsson, and J. Chanussot, "A marker-based approach for the automated selection of a single segmentation from a hierarchical set of image segmentations," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., 2012, DOI: 10.1109/JSTARS. 2011.2173466, to be published.
10. Y. Tarabalka and J. C. Tilton, "Spectral-spatial classification of hyperspectral images using hierarchical optimization," in Proc. Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011, pp. 1-4.
11. J. MacQueen, "Some methods for classification and analysis of multivariate observations," in Proc. 5th Berkeley Symp., 1967, pp. 281-297.
12. K. Fukunaga and L. Hostetler, "The estimation of the gradient of a density function, with applications in pattern recognition," IEEE Trans. Inf. Theory, vol. 21, no. 1, pp. 32-40, 1975.
13. D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 5, pp. 603-619, 2002. (Pubitemid 34550429)
14. R. Brits, A. P. Engelbrecht, and F. van den Bergh, "A niching particle swarm optimizer," in Proc. 4th Asia-Pacific Conf. Simulated Evolution and Learning, 2002, pp. 692-696.
15. J. Kennedy and R. C. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf. Neural Networks, 1995, pp. 1942-1948.
16. K. N. Krishnanand and D. Ghose, "Detection of multiple source locations using a glowworm metaphor with applications to collective robotics," in Proc. IEEE Swarm Intelligence Symp. (SISS2005), Pasadena, CA, 2005, pp. 84-91.
17. K. N. Krishnanand and D. Ghose, "Theoretical foundations for rendezvous of glowworm-inspired agent swarms at multiple locations," Robotics and Autonomous Systems, vol. 56, no. 7, pp. 549-569, 2008.
18. G. Schwarz, "Estimating the dimension of a model," The Annals of Statistics, vol. 6, no. 2, pp. 461-464, 1978.
19. S. Suresh, V. Mani, S. N. Omkar, and N. Sundararajan, "Multispectral satellite image classification using an evolving neural network approach," J. Aerosp. Sci. Technol. Aero. Soc. India, vol. 58, no. 4, pp. 287-304, 2006.
20. S. N. Omkar, K. M. Manoj, D. Mudigere, and D. Muley, "Urban satellite image classification using biologically inspired techniques," in Proc. IEEE Int. Symp. Industrial Electronics, 2007, pp. 1767-1772.
21. H. Li, K. Zhang, and T. Jiang, "The regularized EM algorithm," in Proc. 20th Nat. Conf. Artificial Intelligence, 2005, pp. 807-812. (Pubitemid 43006708)
22. J. Senthilnath, M. Rajeswari, and S.N.Omkar, "Automatic road extraction using high resolution satellite image based on texture progressive analysis and normalized cut method," J. Indian Soc. Remote Sens., vol. 37, no. 3, pp. 351-361, 2009.