Determining class proportions within a pixel using a new mixed-label analysis method

IEEE Transactions on Geoscience and Remote Sensing

Volumn 48, Issue 4 PART 1, 2010, Pages 1882-1891

  Liu, Xiaoping ^a   Li, Xia ^a   Zhang, Xiaohu ^a,b  

^a SUN YAT SEN UNIVERSITY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Mixed pixels; Mixed label analysis (MLA); Remote sensing; Soft classification

Indexed keywords

ANALYSIS METHOD; CLASSIFICATION ACCURACY; CLASSIFICATION METHODS; CLASSIFICATION PERFORMANCE; CONVENTIONAL METHODS; LAND COVER; LAND-COVER CLASSIFICATION; LINEAR SPECTRAL MIXTURE MODEL; MINIMUM DISTANCE; MIXED PIXEL; MIXED-LABEL ANALYSIS (MLA); REAL DATA SETS; REMOTE SENSING APPLICATIONS; REMOTE SENSING IMAGES; SIMULATED IMAGES; SOFT CLASSIFICATION;

MAXIMUM LIKELIHOOD; NEURAL NETWORKS; REMOTE SENSING;

PIXELS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; DATA SET; IMAGE CLASSIFICATION; LAND COVER; PERFORMANCE ASSESSMENT; PIXEL; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY;

EID: 79952070511     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2009.2033178     Document Type: Article

References (40)

1. G. G. Wilkinson, "Results and implications of a study of fifteen years of satellite image classification experiments," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 433-440, Mar. 2005. (Pubitemid 40320266)
2. S. Di Zenzo, R. Bernstein, S. D. Degloria, and H. G. Kolsky, "Gaussian maximum likelihood and contextual classification algorithms for multicrop classification," IEEE Trans. Geosci. Remote Sens., vol. GRS-25, no. 6, pp. 805-814, Nov. 1987.
3. K. Muthu and M. Petrou, "Landslide-hazard mapping using an expert system and a GIS," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 2, pp. 522-531, Feb. 2007. (Pubitemid 46183047)
4. F. Del Frate, F. Pacifici, G. Schiavon, and C. Solimini, "Use of neural networks for automatic classification from high-resolution images," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 4, pp. 800-809, Apr. 2007. (Pubitemid 46495615)
5. X. P. Liu, X. Li, and L. Liu, "An innovative method to classify remotesensing images using ant colony optimization," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 12, pp. 4198-4208, Dec. 2008.
6. G. M. Foody, "Fully fuzzy supervised classification of land cover from remotely sensed imagery with an artificial neural network," Neural Comput. Appl., vol. 5, no. 4, pp. 238-247, Dec. 1997.
7. G. M. Foody, "Hard and soft classifications by a neural network with a non-exhaustively defined set of classes," Int. J. Remote Sens., vol. 23, no. 18, pp. 3853-3864, Sep. 2002.
8. J. B. Campbell, Introduction to Remote Sensing. New York: Guilford Press, 1987.
9. T. F. Wood and G. M. Foody, "Using cover-type likelihoods and typicalities in a geographic information system data structure to map gradually changing environments," in In Landscape Ecology and GIS, R. Haines-Young, D. R. Green, and S. H. Cousins, Eds. London, U. K.: Taylor & Francis, 1993, pp. 141-146. (Pubitemid 23384301)
10. J. B. Campbell, Introduction to Remote Sensing., 3rd ed. New York: Guilford Press, 2002.
11. A. C. Bernard, G. G. Wilkinson, and I. Kanellopoulos, "Training strategies for neural network soft classification of remotely-sensed imagery," Int. J. Remote Sens., vol. 18, no. 8, pp. 1851-1856, May 1997.
12. M. A. Ibrahim, M. K. Arora, and S. K. Ghosh, "Estimating and accommodating uncertainty through the soft classification of remote sensing data," Int. J. Remote Sens., vol. 26, no. 14, pp. 2995-3007, Jul. 2005. (Pubitemid 41158764)
13. A. Plaza, P. Martinez, R. Perez, and J. Plaza, "A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 3, pp. 650-663, Mar. 2004.
14. C.-I Chang and B. Ji, "Weighted abundance-constrained linear spectral mixture analysis," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 2, pp. 378-388, Feb. 2006. (Pubitemid 43146057)
15. D. Lu and Q. Weng, "Use of impervious surface in urban land-use classification," Remote Sens. Environ., vol. 102, no. 1/2, pp. 146-160, May 2006.
16. M. Xu, P. Watanachaturaporn, P. K. Varshney, and M. K. Arora, "Decision tree regression for soft classification of remote sensing data," Remote Sens. Environ., vol. 97, no. 3, pp. 322-336, Aug. 2005. (Pubitemid 41140354)
17. G. M. Foody and A. Mathur, "The use of small training sets containing mixed pixels for accurate hard image classification: Training on mixed spectral responses for classification by a SVM," Remote Sens. Environ., vol. 103, no. 2, pp. 179-189, Jul. 2006. (Pubitemid 44015803)
18. G. M. Foody, "Estimation of sub-pixel land cover composition in the presence of untrained classes," Comput. Geosci., vol. 26, no. 4, pp. 469-478, May 2000. (Pubitemid 30228971)
19. J. Lein, "Toward the rapid characterization of the built environment within the wildland-urban interface: A soft classification strategy," GISci. Remote Sens., vol. 43, no. 1, pp. 44-61, Apr.-Jun. 2006.
20. M. R. Boutell, J. Luo, X. Shen, and C. M. Brown, "Learning multi-label scene classification," Pattern Recognit., vol. 37, no. 9, pp. 1757-1771, Sep. 2004. (Pubitemid 38804465)
21. M.-L. Zhang and Z.-H. Zhou, "Multilabel neural networks with applications to functional genomics and text categorization," IEEE Trans. Knowl. Data Eng., vol. 18, no. 10, pp. 1338-1351, Oct. 2006. (Pubitemid 44335199)
22. R. L. Kennedy, L. Yuchun, V. R. Benjamin, C. D. Reed, and R. P. Lippmann, Solving Data Mining Problems Through Pattern Recognition. Englewood Cliffs, NJ: Prentice-Hall, 1998.
23. R. K. Oswald, W. T. Scherer, and B. L. Smith, "Traffic flow forecasting using approximate nearest neighbor nonparametric regression," Research Project Rep. for ITS Implementation Research 2000, Apr. 25, 2002. [Online]. Available: http://www.gmupolicy.net/its/papers.htm
24. A. Nemes, W. J. Rawls, and Y. A. Pachepsky, "Use of a nonparametric nearest neighbor approach to estimate soil hydraulic properties," SSSA J., vol. 70, no. 2, pp. 327-336, 2006.
25. U. Lall and A. Sharma, "A nearest-neighbor bootstrap for resampling hydrologic time series," Water Resour. Res., vol. 32, no. 3, pp. 679-693, 1996.
26. F. Maselli, A. Rodolf, and C. Conese, "Fuzzy classification of spatially degraded thematic mapper data for the estimation of sub-pixel components," Int. J. Remote Sens., vol. 17, no. 3, pp. 537-551, Feb. 1996.
27. F. Okeke and A. Karnieli, "Linear mixture model approach for selecting fuzzy exponent value in fuzzy c-means algorithm," Ecol. Inf., vol. 1, no. 1, pp. 117-124, Jan. 1996.
28. R. G. Congalton, "A review of assessing the accuracy of classifications of remotely sensed data," Remote Sens. Environ., vol. 37, pp. 35-46, 1991.
29. C. Small, "The Landsat ETM+ spectral mixing space," Remote Sens. Environ., vol. 93, no. 1/2, pp. 1-17, Oct. 2004. (Pubitemid 39234706)
30. Q. H. Weng and X. F. Xu, "Medium spatial resolution satellite imagery for estimating and mapping urban impervious surfaces using LSMA and ANN," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 8, pp. 2397-2406, Aug. 2008.
31. Q. Du and C.-I Chang, "Linear mixture analysis-based compression for hyperspectral image analysis," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 4, pp. 875-891, Apr. 2004.
32. J. W. Boardman, F. A. Kruse, and R. O. Green, "Mapping target signatures via partial unmixing of AVIRIS data," in Proc. Summit JPL Airborne Earth Sci. Workshop, Pasadena, CA, 1995, pp. 23-26.
33. M. E. Winter, "N-finder: An algorithm for fast autonomous spectral endmember determination in hyperspectral data," in Proc. Image Spectrom. V, 1999, vol. 3753, pp. 266-277.
34. R. A. Neville, K. Staenz, T. Szeredi, J. Lefebvre, and P. Hauff, "Automatic endmember extraction from hyperspectral data for mineral exploration," in Proc. 4th Int. Airborne Remote Sens. Conf. Exhib., 1999, pp. 21-24.
35. M. D. Craig, "Minimum-volume transforms for remotely sensed data," IEEE Trans. Geosci. Remote Sens., vol. 32, no. 3, pp. 542-552, May 1994.
36. A. Ifarraguerri and C.-I Chang, "Hyperspectral image segmentation with convex cones," IEEE Trans. Geosci. Remote Sens., vol. 37, no. 2, pp. 756-770, Mar. 1999.
37. J. M. P. Nascimento and J. M. Dias, "Vertex component analysis: A fast algorithm to unmix hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 898-910, Apr. 2005. (Pubitemid 40476033)
38. E. Binaghi, P. A. Brivio, P. Ghezzi, and A. Rampini, "A fuzzy set based accuracy assessment of soft classification," Pattern Recognit. Lett., vol. 20, no. 9, pp. 935-948, Sep. 1999. (Pubitemid 30005735)
39. D. C. Heinz and C.-I Chang, "Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 3, pp. 529-545, Mar. 2001. (Pubitemid 32400422)
40. M. Brown, H. G. Lewis, and S. R. Gunn, "Linear spectral mixture models and support vector machines for remote sensing," IEEE Trans. Geosci. Remote Sens., vol. 38, no. 5, pp. 2346-2360, Sep. 2000.