Band selection for hyperspectral imagery using affinity propagation

Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008

Volumn , Issue , 2008, Pages 137-141

  Jia, Sen ^a,b   Qian, Yuntao ^a   Ji, Zhen ^b  

^a ZHEJIANG UNIVERSITY   (China)

^b SHENZHEN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AFFINITY PROPAGATION; BAND SELECTION; CLUSTER CENTERS; CLUSTERING TECHNIQUES; COMPUTATIONAL COSTS; DATA POINTS; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGERY; KNOWLEDGE DISCOVERY; SPECTRAL BAND;

CLUSTERING ALGORITHMS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; REMOTE SENSING;

CLUSTER ANALYSIS;

EID: 67549146778     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DICTA.2008.42     Document Type: Conference Paper

References (16)

1. "AVIRIS NW indiana's indian pines 1992 data set [online]," Available: ftp://ftp.ecn.purdue.edu/biehl/MultiSpec/92AV3C (original files) and ftp://ftp.ecn.purdue.edu/pub/biehl/PC-MultiSpec/ThyFiles.zip (ground truth).
2. P. Berkhin, "Survey of clustering data mining techniques," Accrue Software, Inc., Tech. Rep., 2002.
3. C.-I. Chang, Hyperspectral Imaging: Techniques for Spectral Detection and Classification.Kluwer Academic/Plenum Publishers, New York, 2003.
4. C.-I. Chang and Q. Du, "Estimation of number of spectrally distinct signal sources in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., Vol. 42, no. 3, pp. 608-619, Mar. 2004.
5. C.-I. Chang, Q. Du, T. L. Sun, and M. L. G. Althouse, "A joint band prioritization and band-deccorelation approach to band selection for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., Vol. 37, no. 6, pp. 2631-2641, Nov. 1999. (Pubitemid 30519596)
6. C.-I. Chang and S. Wang, "Constrained band selection for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., Vol. 44, no. 6, pp. 1575-1585, Jun. 2006. (Pubitemid 43824504)
7. T. Cover and P. Hart, "Nearest neighbor pattern classification, " IEEE Trans. Inf. Theory, Vol. 13, no. 1, pp. 21-27, Jan. 1967.
8. T. M. Cover and J. A. Thomas, Elements of Information Theory. John Wiley & Sons, 1991.
9. J. F. Frey and D. Dueck, "Mixture modeling by affinity propagation," in Neural Information Processing Systems 18, 2005, pp. 379-386.
10. -, "Clustering by passing messages between data points," Science, Vol. 315, pp. 972-976, Feb. 2007.
11. L. O. Jimenez-Rodrguez, E. Arzuaga-Cruz, and M. Velez-Reyes, "Unsupervised linear feature-extraction methods and their effects in the classification of high-dimensional data," IEEE Trans. Geosci. Remote Sens., Vol. 45, no. 2, pp. 469-483, Feb. 2007. (Pubitemid 46183042)
12. S. Kumar, J. Ghosh, and M. M. Crawford, "Best-bases feature extraction algorithms for classification of hyperspectral data," IEEE Trans. Geosci. Remote Sens., Vol. 39, no. 7, pp. 1368-1379, Jul. 2001.
13. A. Martínez-usó, F. Pla, J. M. Sotoca, and P. García-sevilla, "Clusteringbased hyperspectral band selection using information measures," IEEE Trans. Geosci. Remote Sens., Vol. 45, no. 12, pp. 4158-4171, Dec. 2007. (Pubitemid 350157848)
14. F. Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines," IEEE Trans. Geosci. Remote Sens., Vol. 42, no. 8, pp. 1778-1790, Aug. 2004.
15. R. Neher and A. Srivastava, "A bayesian mrf framework for labeling terrain using hyperspectral imaging," IEEE Trans. Geosci. Remote Sens., Vol. 43, no. 6, pp. 1363-1374, June 2005. (Pubitemid 40811945)
16. B. S. Serpico and L. Bruzzone, "A new search algorithm for feature selection in hyperspectral remote sensing images," IEEE Trans. Geosci. Remote Sens., Vol. 39, no. 7, pp. 1360-1367, Jul. 2001.