Attraction-repulsion model-based subpixel mapping of multi-/hyperspectral imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 51, Issue 5, 2013, Pages 2799-2814

  Tong, Xiaohua ^a   Zhang, Xue ^a   Shan, Jie ^b   Xie, Huan ^a   Liu, Miaolong ^a  

^a TONGJI UNIVERSITY   (China)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Attraction repulsion model; Endmember; Spectral mixture model; Subpixel mapping

Indexed keywords

ENDMEMBERS; HYPER-SPECTRAL IMAGES; LINEAR OPTIMIZATION; OPTIMIZATION PROBLEMS; SPATIAL DEPENDENCE; SPATIAL RESOLUTION IMAGES; SPECTRAL MIXTURE MODEL; SUB-PIXEL MAPPING;

EXPERIMENTS; OPTIMIZATION; SPECTROSCOPY;

PHOTOMAPPING;

HYPERION; IMAGERY; MAPPING METHOD; OPTIMIZATION; PIXEL; SPATIAL RESOLUTION; SPECTRAL ANALYSIS;

HYPERION;

EID: 84885018411     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2012.2218612     Document Type: Article

References (55)

1. G. M. Foody, Remote Sensing Image Analysis: Including the Spatial Domain. Norwell, MA: Kluwer, 2004, pp. 37-49.
2. A. P. Cracknell, "Synergy in remote sensing - What's in a pixel?" Int. J. Remote Sens., vol. 19, no. 11, pp. 2025-2047, 1998.
3. P. Fisher, "The pixel: A snare and a delusion," Int. J. Remote Sens., vol. 18, no. 3, pp. 679-685, 1997.
4. J. Fryer and K. McIntosh, "Enhancement of image resolution in digital photogrammetry," Photogramm. Eng. Remote Sens., vol. 67, no. 6, pp. 741-749, Jun. 2001. (Pubitemid 32515855)
5. J. M. P. Nascimento and J. M. B. Dias, "Does independent component analysis play a role in unmixing hyperspectral data?" IEEE Trans. Geosci. Remote Sens., vol. 43, no. 1, pp. 175-187, Jan. 2005.
6. C. A. Shah, P. K. Varshney, and M. K. Arora, "ICA mixture model algorithm for unsupervised classification of remote sensing imagery," Int. J. Remote Sens., vol. 28, no. 8, pp. 1711-1731, Apr. 2007.
7. F. A. Kruse, A. B. Lefkoff, J. W. Boardman, K. B. Heidebrecht, A. T. Shapiro, and P. J. Barloon, "The spectral image-processing system (SIPS) - Interactive visualization and analysis of imaging spectrometer data," Remote Sens. Environ., vol. 44, no. 2/3, pp. 145-163, May/Jun. 1993.
8. N. Goodwin, N. C. Coops, and C. Stone, "Assessing plantation canopy condition from airborne imagery using spectral mixture analysis and fractional abundances," Int. J. Appl. Earth Observ. Geoinf., vol. 7, no. 1, pp. 11-28, May 2005.
9. S. W. Myint, "Urban vegetation mapping using sub-pixel analysis and expert system rules: A critical approach," Int. J. Remote Sens., vol. 27, no. 13, pp. 2645-2665, 2006.
10. J. Tang, L. Wang, and S. W. Myint, "Improving urban classification through fuzzy supervised classification and spectral mixture analysis," Int. J. Remote Sens., vol. 28, no. 18, pp. 4047-4063, Sep. 2007. (Pubitemid 47343431)
11. A. M. De Asis and K. Omasa, "Estimation of vegetation parameter for modeling soil erosion using linear spectral mixture analysis of Landsat ETM data," ISPRS J. Photogramm. Remote Sens., vol. 62, pp. 309-324, 2007. (Pubitemid 47333075)
12. L. C. Plourde, S. V. Ollinger, M. L. Smith, and M. E. Martin, "Estimating species abundance in a northern temperate forest using spectral mixture analysis," Photogramm. Eng. Remote Sens., vol. 73, no. 7, pp. 829-840, Jul. 2007.
13. T. C. Eckmann, D. A. Roberts, and C. J. Still, "Using multiple endmember spectral mixture analysis to retrieve sub-pixel fire properties from MODIS," Remote Sens. Environ., vol. 112, no. 10, pp. 3773-3783, Oct. 2008.
14. N. Richter, K. Staenz, and H. Kaufmann, "Spectral unmixing of airborne hyperspectral data for baseline mapping of mine tailings areas," Int. J. Remote Sens., vol. 29, no. 13, pp. 3937-3956, Jul. 2008. (Pubitemid 351917168)
15. Q. Weng, X. Hu, and D. Liu, "Extracting impervious surfaces from medium spatial resolution multispectral and hyperspectral imagery: A comparison," Int. J. Remote Sens., vol. 29, no. 11, pp. 3209-3232, Jun. 2008. (Pubitemid 351911288)
16. Q. Weng, X. Hu, and H. Liu, "Estimating impervious surfaces using linear spectral mixture analysis with multitemporal ASTER images," Int. J. Remote Sens., vol. 30, no. 18, pp. 4807-4830, Sep. 2009.
17. B. Somers, S. Delalieux, J. Stuckens, W. W. Verstraeten, and P. Coppin, "A weighted linear spectral mixture analysis approach to address endmember variability in agricultural production systems," Int. J. Remote Sens., vol. 30, no. 1, pp. 139-147, Jan. 2009.
18. T. R. Tooke, N. C. Coops, N. R. Goodwin, and J. A. Voogt, "Extracting urban vegetation characteristics using spectral mixture analysis and decision tree classifications," Remote Sens. Environ., vol. 113, no. 2, pp. 398-407, Feb. 2009.
19. L. Zhang, B. Wu, B. Huang, and P. Li, "Nonlinear estimation of subpixel proportion via kernel least square regression," Int. J. Remote Sens., vol. 28, no. 18, pp. 4157-4172, Sep. 2007. (Pubitemid 47343436)
20. B. Somers, K. Cools, S. Delalieux, J. Stuckens, D. V. der Zande, W. W. Verstraeten, and P. Coppin, "Nonlinear hyperspectral mixture analysis for tree cover estimates in orchards," Remote Sens. Environ., vol. 113, no. 6, pp. 1183-1193, Jun. 2009.
21. J. Ju, E. D. Kolaczyk, and S. Gopal, "Gaussian mixture discriminant analysis and sub-pixel land cover characterization in remote sensing," Remote Sens. Environ., vol. 84, no. 4, pp. 550-560, Apr. 2003. (Pubitemid 36360516)
22. D. Lafont and B. Guillemet, "Beam-filling effect correction with subpixel cloud fraction using a neural network," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 5, pp. 1070-1077, May 2005. (Pubitemid 40644445)
23. J. Ravi, S. T. Lee, M. Paulraj, and R. Hernandez, "Feasibility of neural network approach in spectral mixture analysis of reflectance spectra," Int. J. Remote Sens., vol. 29, no. 10, pp. 2981-2992, May 2008. (Pubitemid 351622349)
24. R. Pu, P. Gong, R. Michishita, and T. Sasagawa, "Spectral mixture analysis for mapping abundance of urban surface components from the Terra/ASTER data," Remote Sens. Environ., vol. 112, no. 3, pp. 939-954, Mar. 2008. (Pubitemid 351296241)
25. J. Verhoeye and R. de Wulf, "Land cover mapping at sub-pixel scales using linear optimization techniques," Remote Sens. Environ., vol. 79, no. 1, pp. 96-104, Jan. 2002. (Pubitemid 34050058)
26. D. Lu and Q. Weng, "A survey of image classification methods and techniques for improving classification performance," Int. J. Remote Sens., vol. 28, no. 5, pp. 823-870, Feb. 2007. (Pubitemid 46476334)
27. X. H. Tong, X. Zhang, and M. L. Liu, "Detection of urban sprawl using a genetic algorithm-evolved artificial neural network classification in remote sensing: A case study in Jiading and Putuo districts of Shanghai, China," Int. J. Remote Sens., vol. 31, no. 6, pp. 1485-1504, Feb. 2010.
28. P. M. Atkinson, Mapping Sub-pixel Boundaries From Remotely Sensed Images. Innovations in GIS 4, Z. Kemp, Ed. Bristol, PA: Taylor & Francis, 1997, pp. 166-180.
29. P. M. Atkinson, "Super-resolution target mapping from soft classified remotely sensed imagery," Photogramm. Eng. Remote Sens., vol. 71, no. 7, pp. 839-846, Jul. 2005.
30. K. C. Mertens, L. P. C. Verbeke, T. Westra, and R. R. De Wulf, "Subpixel mapping and sub-pixel sharpening using neural network predicted wavelet coefficients," Remote Sens. Environ., vol. 91, no. 2, pp. 225-236, May 2004. (Pubitemid 38700323)
31. K. C. Mertens, B. De Baets, L. P. C. Verbeke, and R. R. De Wulf, "A sub-pixel mapping algorithm based on sub-pixel/pixel spatial attraction," Int. J. Remote Sens., vol. 27, no. 15, pp. 3293-3310, Jan. 2006.
32. Y. Makido, A. Shortridge, and J. P. Messina, "Assessing alternatives for modeling the spatial distribution of multiple land-cover classes at sub-pixel scales," Photogramm. Eng. Remote Sens., vol. 73, no. 8, pp. 935-943, Aug. 2007. (Pubitemid 47196068)
33. Y. Makido and A. Shortridge, "Weighting function alternatives for a subpixel allocation model," Photogramm. Eng. Remote Sens., vol. 73, no. 11, pp. 1233-1240, Nov. 2007. (Pubitemid 350035138)
34. Z. Shen, J. Qi, and K. Wang, "Modification of pixel swapping algorithm with initialization from a sub-pixel/pixel spatial attraction model," Photogramm. Eng. Remote Sens., vol. 75, no. 5, pp. 557-567, May 2009.
35. G. M. Foody, "Sharpening fuzzy classification output to refine the representation of sub-pixel land cover distribution," Int. J. Remote Sens., vol. 19, no. 13, pp. 2593-2599, 1998.
36. M. W. Thornton, P. M. Atkinson, and D. A. Holland, "Sub-pixel mapping of rural land cover objects from fine spatial resolution satellite sensor imagery using super-resolution pixel swapping," Int. J. Remote Sens., vol. 27, no. 3, pp. 473-491, 2006.
37. T. Kasetkasem, M. K. Arora, and P. K. Varshney, "Super-resolution land cover mapping using a Markov random field based approach," Remote Sens. Environ., vol. 96, no. 3/4, pp. 302-314, Jun. 2005. (Pubitemid 40912432)
38. A. Boucher and P. C. Kyriakidis, "Super-resolution land-cover mapping with indicator geostatistic," Remote Sens. Environ., vol. 104, no. 3, pp. 264-282, Oct. 2006. (Pubitemid 44414910)
39. A. Boucher and P. C. Kyriakidis, "Integrating fine scale information in superresolution land cover mapping," Photogramm. Eng. Remote Sens., vol. 73, no. 8, pp. 913-921, Aug. 2007. (Pubitemid 47196066)
40. M. Debella-Gilo and A. Kääb, "Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation," Remote Sens. Environ., vol. 115, no. 1, pp. 130-142, Jan. 2011.
41. H. N. Gross and J. P. Schott, "Application of spatial resolution enhancement and spectral mixture analysis to hyperspectral image," in Proc. SPIE, 1996, vol. 2821, pp. 30-41.
42. H. N. Gross and J. P. Schott, "Application of spectral mixture analysis and image fusion techniques for image sharpening," Remote Sens. Environ., vol. 63, no. 2, pp. 85-94, Feb. 1998.
43. A. J. Tatem, H. G. Lewis, P. M. Atkinson, and M. S. Nixon, "Superresolution target identification from remotely sensed images using a Hopfield neural network," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 4, pp. 781-796, Apr. 2001.
44. A. J. Tatem, H. G. Lewis, P. M. Atkinson, and M. S. Nixon, "Multiple-class land-cover mapping at the sub-pixel scale using a Hopfield neural network," Int. J. Appl. Earth Observ. Geoinf., vol. 3, no. 2, pp. 184-190, 2001.
45. A. J. Tatem, H. G. Lewis, P. M. Atkinson, and M. S. Nixon, "Superresolution land cover pattern prediction using a Hopfield neural network," Remote Sens. Environ., vol. 79, no. 1, pp. 1-14, 2002.
46. A. J. Tatem, H. G. Lewis, P. M. Atkinson, and M. S. Nixon, "Increasing the spatial resolution of agricultural land cover maps using a Hopfield neural network," Int. J. Geograph. Inf. Sci., vol. 17, no. 7, pp. 647-672, 2003.
47. M. Q. Nguyen, P. M. Atkinson, and H. G. Lewis, "Super-resolution mapping using a Hopfield neural network with fused images," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 3, pp. 736-749, Mar. 2006.
48. K. C. Mertens, L. P. C. Verbeke, and E. I. Ducheyne, "Using genetic algorithms in sub-pixel mapping," Int. J. Remote Sens., vol. 24, no. 21, pp. 4241-4247, Nov. 2003.
49. C. P. Ruiz and F. J. A. Lopez, "Restoring SPOT images using PSF-derived deconvolution filters," Int. J. Remote Sens., vol. 23, no. 12, pp. 2379-2391, 2002.
50. C. Huang, J. R. G. Townshend, S. Liang, S. N. V. Kalluria, and R. S. DeFries, "Impact of sensor's point spread function on land cover characterization: Assessment and deconvolution," Remote Sens. Environ., vol. 80, no. 2, pp. 203-212, May 2002. (Pubitemid 34409343)
51. G. Kaiser and W. Schneider, "Estimation of sensor point spread function by spatial sub-pixel analysis," Int. J. Remote Sens., vol. 29, no. 7, pp. 2137-2155, Apr. 2008. (Pubitemid 351460601)
52. B. Datt, T. R. McVicar, T. G. Van Niel, D. L. B. Jupp, and J. S. Pearlman, "Preprocessing EO-1 hyperion hyperspectral data to support the application of agricultural indexes," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 6, pp. 1246-1259, Jun. 2003.
53. X. H. Tong, X. Zhang, J. Shan, H. Xie, and M. L. Liu, "Image segmentation based spectral mixture analysis for hyperspectral remotely sensed imagery," Remote Sens. Environ., submitted for publication.
54. R. G. Congalton, "A review of assessing the accuracy of classifications of remotely sensed data," Remote Sens. Environ., vol. 37, no. 1, pp. 35-46, Jul. 1991.
55. G. M. Foody, "The role of soft classification techniques in the refinement of estimates of ground control point location," Photogramm. Eng. Remote Sens., vol. 68, no. 9, pp. 897-903, Sep. 2002.