Allocating classes for soft-then-hard subpixel mapping algorithms in units of Class

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 5, 2014, Pages 2940-2959

  Wang, Qunming ^a   Shi, Wenzhong ^a,b   Wang, Liguo ^c  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b WUHAN UNIVERSITY   (China)

^c HARBIN ENGINEERING UNIVERSITY   (China)

Author keywords

Class allocation; image classification; subpixel mapping (SPM); subpixel sharpening; superresolution mapping

Indexed keywords

CONFORMAL MAPPING; HOPFIELD NEURAL NETWORKS; IMAGE CLASSIFICATION; IMAGE RECONSTRUCTION; NEURAL NETWORKS; OPTIMIZATION;

ALLOCATION APPROACH; BACK PROPAGATION NEURAL NETWORKS; CLASS ALLOCATION; REMOTE SENSING IMAGES; SEQUENTIAL ASSIGNMENT; SUB PIXELS; SUB-PIXEL MAPPING; SUPER-RESOLUTION MAPPINGS;

ALGORITHMS;

ACCURACY ASSESSMENT; ALGORITHM; ARTIFICIAL NEURAL NETWORK; DATA SET; IMAGE ANALYSIS; IMAGE CLASSIFICATION; KRIGING; MAPPING; NUMERICAL MODEL; PIXEL;

EID: 84896315487     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2267802     Document Type: Article

References (57)

1. G. M. Foody, Status of land cover classification accuracy assessment, Remote Sens. Environ., vol. 80, no. 1, pp. 185-201, Apr. 2002 (Pubitemid 34271212)
2. 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
3. L. Wang and X. Jia, Integration of soft and hard classification using extended support vector machine, IEEE Geosci. Remote Sens. Lett., vol. 6, no. 3, pp. 543-547, Jul. 2009
4. P. M. Atkinson, Mapping sub-pixel boundaries from remotely sensed images, in Innovations in GIS. New York, NY, USA: Taylor & Francis, 1997, pp. 166-180
5. T. Kasetkasem, M. K. Arora, and P. K. Varshney, Super-resolution landcover mapping using a Markov random field based approach, Remote Sens. Environ., vol. 96, no. 3/4, pp. 302-314, Jun. 2005 (Pubitemid 40912432)
6. V. A. Tolpekin and A. Stein, Quantification of the effects of land-coverclass spectral separability on the accuracy of Markov-random-field based superresolution mapping, IEEE Trans. Geosci. Remote Sens., vol. 47, no. 9, pp. 3283-3297, Sep. 2009
7. Q. Wang, L. Wang, and D. Liu, Particle swarm optimization-based subpixel mapping for remote-sensing imagery, Int. J. Remote Sens., vol. 33, no. 20, pp. 6480-6496, Oct. 2012
8. Wang Q., Wang L., and D. Liu, Integration of spatial attractions between and within pixels for sub-pixel mapping, J. Syst. Eng. Electron., vol. 23, no. 2, pp. 293-303, Apr. 2012
9. 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
10. P. M. Atkinson, Sub-pixel target mapping from soft-classified, remotely sensed imagery, Photogramm. Eng. Remote Sens., vol. 71, no. 7, pp. 839-846, Jul. 2005 (Pubitemid 43142229)
11. 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)
12. K. C. Mertens, L. P. C. Verbeke, E. I. Ducheyne, and R. De Wulf, Using genetic algorithms in sub-pixel mapping, Int. J. Remote Sens., vol. 24, no. 21, pp. 4241-4247, Nov. 2003 (Pubitemid 37447114)
13. F. Ling, W. Li, Y. Du, and X. Li, Land cover change mapping at the subpixel scale with different spatial-resolution remotely sensed imagery, IEEE Geosci. Remote Sens. Lett., vol. 8, no. 1, pp. 182-186, Jan. 2011
14. Y. Makido, A. Shortridge, and J. P. Messina, Assessing alternatives for modeling the spatial distribution of multiple land-cover classes at subpixel scales, Photogramm. Eng. Remote Sens., vol. 73, no. 8, pp. 935-943, Aug. 2007 (Pubitemid 47196068)
15. A. Villa, J. Chanussot, J. A. Benediktsson, and C. Jutten, Spectral unmixing for the classification of hyperspectral images at a finer spatial resolution, IEEE J. Sel. Topics Signal Process., vol. 5, no. 3, pp. 521-533, Jun. 2011
16. P. M. Atkinson, Super-resolution mapping using the two-point histogram and multi-source imagery, in Proc. GeoENV VI, 2008, pp. 307-321
17. A. M. Muslim, G. M. Foody, and P. M. Atkinson, Shoreline mapping from coarse-spatial resolution remote sensing imagery of Seberang Takir, Malaysia, J. Coastal Res., vol. 23, no. 6, pp. 1399-1408, Nov. 2007
18. H. Lin, Y. Bo, J. Wang, and X. Jia, Landscape structure based superresolution mapping from remotely sensed imagery, in Proc. Int. Geosci. Remote Sens. Symp., 2011, pp. 79-82
19. K. C. Mertens, L. P. C. Verbeke, T. Westra, and 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)
20. K. C. Mertens, B. D. Basets, L. P. C. Verbeke, and R. De Wulf, A sub-pixel mapping algorithm based on sub-pixel/pixel spatial attraction models, Int. J. Remote Sens., vol. 27, no. 15, pp. 3293-3310, Aug. 2006 (Pubitemid 44203582)
21. K. C. Mertens, L. P. C. Verbeke, and R. DeWulf, Sub-pixel mapping with neural networks: Real-world spatial configurations learned from artificial shapes, in Proc. 4th Int. Symp. Remote Sens. Urban Areas, Regensburg, Germany, 2003, pp. 117-121
22. L. Wang, Y. Zhang, and J. Li, BP neural network based sub-pixel mapping method, in Proc. Int. Conf. Intell. Comput., 2006, pp. 755-760 (Pubitemid 44421637)
23. D. Nigussie, R. Zurita-Milla, and J. G. P. W. Clevers, Possibilities and limitations of artificial neural networks for subpixel mapping of land cover, Int. J. Remote Sens., vol. 32, no. 22, pp. 7203-7226, Nov. 2011
24. 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 (Pubitemid 32432734)
25. A. J. Tatem, H. G. Lewis, P. M. Atkinson, and M. S. Nixon, Multiclass land cover mapping at the sub-pixel scale using a Hopfield neural network, Int. J. Appl. Earth Observ. Geoinform., vol. 3, no. 2, pp. 184-190, 2001
26. 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 (Pubitemid 37317316)
27. A. M. Muad and G. M. Foody, Impact of land cover patch size on the accuracy of patch area representation in HNN-based super resolution mapping, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 5, pp. 1418-1427, Oct. 2012
28. 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)
29. A. Boucher and P. C. Kyriakidis, Super-resolution land cover mapping with indicator geostatistics, Remote Sens. Environ., vol. 104, no. 3, pp. 264-282, Oct. 2006 (Pubitemid 44414910)
30. A. Boucher, P. C. Kyriakidis, and C. Cronkite-Ratcliff, Geostatistical solutions for super-resolution land cover mapping, IEEE Trans. Geosci. Remote Sens., vol. 46, no. 1, pp. 272-283, Jan. 2008 (Pubitemid 350281158)
31. A. Boucher, Sub-pixel mapping of coarse satellite remote sensing images with stochastic simulations from training images, Math. Geosci., vol. 41, no. 3, pp. 265-290, Apr. 2009
32. H. Jin, G. Mountrakis, and P. Li, A super-resolution mapping method using local indicator variograms, Int. J. Remote Sens., vol. 33, no. 24, pp. 7747-7773, Dec. 2012
33. G. M. Foody, A. M. Muslim, and P. M. Atkinson, Super-resolution mapping of the waterline from remotely sensed data, Int. J. Remote Sens., vol. 26, no. 24, pp. 5381-5392, Dec. 2005 (Pubitemid 43878387)
34. Y. F. Su, G. M. Foody, A. M. Muad, and K. S. Cheng, Combining pixel swapping and contouring methods to enhance super-resolution mapping, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 5, pp. 1428-1437, Oct. 2012
35. Y. Ge, S. Li, and V. C. Lakhan, Development and testing of a subpixel mapping algorithm, IEEE Trans. Geosci. Remote Sens., vol. 47, no. 7, pp. 2155-2164, Jul. 2009
36. J. P. Ardila, V. A. Tolpekin, W. Bijker, and A. Stein, Markov-randomfield-based super-resolution mapping for identification of urban trees in VHR images, ISPRS J. Photogramm. Remote Sens., vol. 66, no. 6, pp. 762-775, Nov. 2011
37. X. Li, F. Ling, and Y. Du, Super-resolution mapping based on the supervised fuzzy c-means approach, Remote Sens. Lett., vol. 3, no. 6, pp. 501-510, Nov. 2012
38. M. Q. Nguyen, P. M. Atkinson, and H. G. Lewis, Superresolution mapping using a Hopfield neural network with LIDAR data, IEEE Geosci. Remote Sens. Lett., vol. 2, no. 3, pp. 366-370, Jul. 2005 (Pubitemid 41633151)
39. M. Q. Nguyen, P. M. Atkinson, and H. G. Lewis, Superresolution mapping using a Hopfield neural network with fused images, IEEE Trans. Geosci. Remote Sens., vol. 44, no. 3, pp. 736-749, Mar. 2006 (Pubitemid 43282748)
40. F. Ling, Y. Du, F. Xiao, H. Xue, and S. Wu, Super-resolution land-cover mapping using multiple sub-pixel shifted remotely sensed images, Int. J. Remote Sens., vol. 31, no. 19, pp. 5023-5040, Oct. 2010
41. A. M. Muad and G. M. Foody, Super-resolution mapping of lakes from imagery with a coarse spatial and fine temporal resolution, Int. J. Appl. Earth Observ. Geoinform., vol. 15, pp. 79-91, Apr. 2012
42. M. Q. Nguyen, P. M. Atkinson, and H. G. Lewis, Super-resolution mapping using Hopfield neural network with panchromatic imagery, Int. J. Remote Sens., vol. 32, no. 21, pp. 6149-6176, Nov. 2011
43. A. Boucher and P. C. Kyriakidis, Integrating fine scale information in super-resolution land-cover mapping, Photogramm. Eng. Remote Sens., vol. 73, no. 8, pp. 913-921, Aug. 2007 (Pubitemid 47196066)
44. F. Ling, F. Xiao, Y. Du, H. Xue, and X. Ren, Waterline mapping at the subpixel scale from remote sensing imagery with high-resolution digital elevation models, Int. J. Remote Sens., vol. 29, no. 6, pp. 1809-1815, Mar. 2008 (Pubitemid 351338304)
45. M. W. Thornton, P. M. Atkinson, and D. A. Holland, A linearised pixelswapping method for mapping rural linear land cover features from fine spatial resolution remotely sensed imagery, Comput. Geosci., vol. 33, no. 10, pp. 1261-1272, Oct. 2007 (Pubitemid 47495766)
46. P. M. Atkinson, Issues of uncertainty in super-resolution mapping and their implications for the design of an inter-comparison study, Int. J. Remote Sens., vol. 30, no. 20, pp. 5293-5308, Oct. 2009
47. P. Goovaerts, Geostatistics for Natural Resources Evaluation. London, U.K.: Oxford Univ. Press, 1997
48. B. Kolman and R. E. Beck, Elementary Linear Programming With Applications. New York, NY, USA: Academic, 1995
49. L. Wang and Q. Wang, Subpixel mapping using Markov random field with multiple spectral constraints from subpixel shifted remote sensing images, IEEE Geosci. Remote Sens. Lett., vol. 10, no. 3, pp. 598-602, May 2013
50. X. Xu, Y. Zhong, and L. Zhang, Adaptive sub-pixel mapping based on a multi-agent system for remote sensing imagery, IEEE Trans. Geosci. Remote Sens., vol. 52, no. 2, pp. 787-804, Feb. 2014
51. G. M. Foody, Thematic map comparison evaluating the statistical significance of differences in classification accuracy, Photogramm. Eng. Remote Sens., vol. 70, no. 5, pp. 627-633, May 2004 (Pubitemid 39081774)
52. A. J. Tatem, H. G. Lewis, P. M. Atkinson, and M. S. Nixon, Superresolution mapping of urban scenes from IKONOS imagery using a Hopfield neural network, in Proc. Int. Geosci. Remote Sens. Symp., Sydney, Australia, 2001, pp. 3200-3205
53. Y. Zhong and L. Zhang, Remote sensing image subpixel mapping based on adaptive differential evolution, IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 42, no. 5, pp. 1306-1329, Oct. 2012
54. Y. Zhong and L. Zhang, Sub-pixel mapping based on artificial immune systems for remote sensing imagery, Pattern Recognit., vol. 46, no. 11, pp. 2902-2926, Nov. 2013[Online]. Available: http://www.ceode.cas.cn/txzs/dxyy/
55. 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)
56. X. Xu, Y. Zhong, L. Zhang, and H. Zhang, Sub-pixel mapping based on a MAP model with multiple shifted hyperspectral imagery, IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 2, pp. 580-593, Apr. 2013
57. Y. Ge, Sub-pixel land-cover mapping with improved fraction images upon multiple-point simulation, Int. J. Appl. Earth Observ. Geoinform., vol. 22, pp. 115-126, Jun. 2013.