Late-season rural land-cover estimation with polarimetric-SAR intensity pixel blocks and σ-tree-structured near-neighbor classifiers

IEEE Transactions on Geoscience and Remote Sensing

Volumn 44, Issue 9, 2006, Pages 2384-2392

  Barnes, Christopher F ^a,b   Burki, Jehanzeb ^a,b  

^a IEEE   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

trees; Additive successive refinements; Direct sum; Residual vector quantization; Successive approximation; Synthetic aperture radar (SAR) land use classification

Indexed keywords

Σ-TREES; ADDITIVE SUCCESSIVE REFINEMENTS; DIRECT SUM; RESIDUAL VECTOR QUANTIZATION; SUCCESSIVE APPROXIMATION; SYNTHETIC APERTURE RADAR (SAR) LAND-USE CLASSIFICATION;

CONFORMAL MAPPING; IMAGE ANALYSIS; POLARIMETERS; SYNTHETIC APERTURE RADAR;

RADAR IMAGING;

EID: 33748286956     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2006.875449     Document Type: Article

References (21)

1. C. F. Barnes and R. L. Frost, "Vector quantizers with direct sum codebooks," IEEE Trans. Inf. Theory, vol. 39, no. 2, pp. 565-580, Mar. 1993.
2. C. F. Barnes, "Coding and quantization," in DIMACS Series in Discrete Mathematics and Theoretical Computer Science, vol. 14, R. Calderbank, G. D. Forney, Jr., and N. Moayeri, Eds. Providence, RI: Amer. Math. Soc., 1993, pp. 33-53.
3. C. F. Barnes, S. A. Rizvi, and N. M. Nasrabadi, "Advances in residual vector quantization: A review," IEEE Trans. Image Process., vol. 5, no. 2, pp. 226-262, Feb. 1996.
4. C. F. Barnes, "Successive approximation source coding and image enabled data mining." in Proc. Data Compression Conf., Snowbird, UT, Mar. 23, 2004, p. 525.
5. R. O. Congalton and K. Green, Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Boca Raton, FL: CRC, 1999.
6. C. Cortes and V. Vapnik, "Support-vector networks," Mach. Learn., vol. 20, no. 3, pp. 273-297, Sep. 1995.
7. H. Daschiel and M. Datcu, "Cluster structure evaluation of a dyadic k-means algorithm for mining large image archives." in Proc. Int. Conf. Pattern Recognit., 1996, vol. 3, pp. 361-369.
8. M. Datcu, A. Pelizzari, H. Dashiel, M. Quartulli, and K. Seidel, "Advanced value adding to metric resolution SAR data: Information mining," in Proc. 4th Eur. Conf. Synthetic Aperture Radar, 2002, pp. 409-412.
9. A. Dembo and I. Koutoyiannis, "Source coding, large deviations, and approximate pattern matching," IEEE Trans. Inf. Theory, vol. 48, no. 6, pp. 1590-1615, Jun. 2002.
10. R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis. Hoboken, NJ: Wiley, 1973.
11. F. D. Frate, G. Schiavon, D. Solimini, M. Boregeaud, D. H. Hoekman, and M. A. M. Vissers, "Crop classification using multiconfiguration C-Band SAR data," IEEE Trans. Gensci. Remote Sens., vol. 41, no. 7, pp. 1611-1619, Jul. 2003.
12. K. Fukunaga and D. M. Hummels, "Bias of nearest neighbor error estimates," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAM1-9, no. 1, pp. 103-112, Jan. 1987.
13. R. Gupta and A. O. Hero, "High-rate vector quantization for detection," IEEE Trans. Inf. Theory, vol. 49. no. 8, pp. 1951-1969, Aug. 2003.
14. 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.
15. P. R. Kersten, J.-S. Lee, and T. L. Ainsworth, "Unsupervised classification of polarimetric synthetic aperture radar images using fuzzy clustering and EM clustering," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 519-527, Mar. 2005.
16. L. Lastras and T. Berger, "All sources are nearly successively refinable," IEEE Trans. Inf. Theory, vol. 47, no. 3, pp. 918-926, Mar. 2001.
17. J. Li and R. Narayanan, "Integrated spectral and spatial information mining in remote sensing imagery," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 3, pp. 673-685, Mar. 2004.
18. G. Lugosi and K. Zeger, "Concept learning using complexity regularization," IEEE Trans. Inf. Theory, vol. 42, no. 1. pp. 48-54, Jan. 1996.
19. G. B. Marchisio and J. Cornelison, "Content-based search and clustering of remote sensing imagery," in Proc. IGARSS, Hamburg, Germany, Jun. 1999, vol. 1, pp. 290-292.
20. S. Nawab, A. Oppenheim, A. Chandrakasan, J. Winograd, and J. Ludwig, "Approximate signal processing," J. VLSI Signal Process., vol. 15, no. 1/2, pp. 177-200, Jan. 1997.
21. M. Y. Zaidan, C. F. Barnes, and S. B. Wicker, "Use of sigma-trees as constellations in trellis-coded modulation," IEEE Trans. Inf. Theory, vol. 43, no. 6, pp. 2005-2012, Nov. 1997.