290
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Projected clustering of hyperspectral imagery using region merging

&
Pages 721-730 | Received 08 Jan 2016, Accepted 18 Apr 2016, Published online: 10 May 2016

References

  • Aggarwal, C. C., J. L. Wolf, P. S. Yu, C. Procopiuc, and J. S. Park. 1999. “Fast Algorithms for Projected Clustering.” Proceedings of the 1999 ACM SIGMOD International Conference on Management of Data, Philadelphia, PA, May 31–June 3. New York: ACM, 61–72. doi:10.1145/304182.304188.
  • Aggarwal, C. C., and P. S. Yu. 2000. “Finding Generalized Projected Clusters in High Dimensional Spaces.” Proceedings of the ACM SIGMOD International Conference on Management of Data, Dallas, TX, May 15–18. New York: ACM, 70–81.
  • Beaulieu, J.-M., and M. Goldberg. 1989. “Hierarchy in Picture Segmentation: A Stepwise Optimization Approach.” IEEE Transactions on Pattern Analysis and Machine Intelligence 11 (2): 150–163. doi:10.1109/34.16711.
  • Cai, D., X. He, and J. Han. 2005. “Document Clustering Using Locality Preserving Indexing.” IEEE Transactions on Knowledge and Data Engineering 17 (12): 1624–1637. doi:10.1109/TKDE.2005.198.
  • Cariou, C., and K. Chehdi. 2015. “Unsupervised Nearest Neighbors Clustering With Application to Hyperspectral Images.” IEEE Journal of Selected Topics in Signal Processing 9 (6): 1105–1116. doi:10.1109/JSTSP.2015.2413371.
  • Chen, T. Q., and Y. Lu. 2002. “Color Image Segmentation–An Innovative Approach.” Pattern Recognition 35: 395–405. doi:10.1016/S0031-3203(01)00050-4.
  • Fauvel, M., Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton. 2013. “Advances in Spectral–Spatial Classification of Hyperspectral Images.” Proceedings of the IEEE 101 (3): 652–675. doi:10.1109/JPROC.2012.2197589.
  • Gillis, N., D. Kuang, and H. Park. 2015. “Hierarchical Clustering of Hyperspectral Images Using Rank–Two Nonnegative Matrix Factorization.” IEEE Transactions on Geoscience and Remote Sensing 53 (4): 2066–2078. doi:10.1109/TGRS.2014.2352857.
  • Jain, A. K., M. N. Murty, and P. J. Flynn. 1999. “Data Clustering: A Review.” ACM Computing Surveys 31 (3): 264–323. doi:10.1145/331499.331504.
  • Kovesi, P. 2013. Regionadjacency. Accessed 9 February 2015. http://www.csse.uwa.edu.au/pk/Research/MatlabFns/index.html
  • Kriegel, H.-P., P. Kröger, and A. Zimek. 2009. “Clustering High–Dimensional Data: A Survey on Subspace Clustering, Pattern–Based Clustering, and Correlation Clustering.” ACM Transactions on Knowledge Discovery from Data 3 (1): 1–58. doi:10.1145/1497577.
  • Li, S., B. Zhang, A. Li, X. Jia, L. Gao, and M. Peng. 2013. “Hyperspectral Imagery Clustering With Neighborhood Constraints.” IEEE Geoscience and Remote Sensing Letters 10 (3): 588–592. doi:10.1109/LGRS.2012.2215005.
  • Lloyd, S. P. 1982. “Least Squares Quantization in PCM.” IEEE Transactions on Information Theory 28 (2): 129–137. doi:10.1109/TIT.1982.1056489.
  • Manning, C. D., P. Raghavan, and H. Schütze. 2008. An Introduction to Information Retrieval. Cambridge: Cambridge University Press.
  • Mehta, A., and O. Dikshit. 2014. “SPCA Assisted Correlation Clustering of Hyperspectral Imagery.” ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-8: 111–116. doi:10.5194/isprsannals-II-8-111-2014.
  • Mehta, A., and O. Dikshit. 2015. “Comparative Study on Projected Clustering Methods for Hyperspectral Imagery Classification.” Geocarto International. Advance online publication. doi:10.1080/10106049.2015.1047416.
  • Moise, G., A. Zimek, P. Kröger, H.-P. Kriegel, and J. Sander. 2009. “Subspace and Projected Clustering: Experimental Evaluation and Analysis.” Knowledge Information and Systems 21 (3): 299–326. doi:10.1007/s10115-009-0226-y.
  • Niazmardi, S., S. Homayouni, and A. Safari. 2013. “An Improved FCM Algorithm Based on the SVDD for Unsupervised Hyperspectral Data Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 (2): 831–839. doi:10.1109/JSTARS.2013.2244851.
  • Nock, R., and F. Nielsen. 2004. “Statistical Region Merging.” IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (11): 1452–1458. doi:10.1109/TPAMI.2004.110.
  • Paoli, A., F. Melgani, and E. Pasolli. 2009. “Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization.” IEEE Transactions on Geoscience and Remote Sensing 47 (12): 4175–4188. doi:10.1109/TGRS.2009.2023666.
  • Sim, K., V. Gopalkrishnan, A. Zimek, and G. Cong. 2013. “A Survey on Enhanced Subspace Clustering.” Data Mining and Knowledge Discovery 26 (2): 332–397. doi:10.1007/s10618-012-0258-x.
  • Tarabalka, Y., J. A. Benediktsson, and J. Chanussot. 2009. “Spectral–Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques.” IEEE Transactions on Geoscience and Remote Sensing 47 (8): 2973–2987. doi:10.1109/TGRS.2009.2016214.
  • Zhang, B., S. Li, C. Wu, L. Gao, W. Zhang, and M. Peng. 2013. “A Neighbourhood–Constrained K–Means Approach to Classify Very High Spatial Resolution Hyperspectral Imagery.” Remote Sensing Letters 4 (2): 161–170. doi:10.1080/2150704X.2012.713139.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.