Adaptive subpixel mapping based on a multiagent system for remote-sensing imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 2, 2014, Pages 787-804

  Xu, Xiong ^a   Zhong, Yanfei ^a   Zhang, Liangpei ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Multiagent system; Remote sensing; Resolution enhancement; Subpixel mapping; Super resolution mapping

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; CLASSIFICATION METHODS; DIFFERENT STRUCTURE; REMOTE SENSING IMAGES; RESOLUTION ENHANCEMENT; SOFT CLASSIFICATION; SUB-PIXEL MAPPING; SUPER-RESOLUTION MAPPINGS;

CONFORMAL MAPPING; IMAGE CLASSIFICATION; MULTI AGENT SYSTEMS; NEURAL NETWORKS; PIXELS; REMOTE SENSING;

PROBLEM SOLVING;

ADAPTIVE MANAGEMENT; ALGORITHM; DETECTION METHOD; EXPERIMENTAL STUDY; IMAGE CLASSIFICATION; LINEARITY; MAPPING METHOD; NUMERICAL MODEL; PIXEL; REMOTE SENSING; SATELLITE IMAGERY;

EID: 84891028246     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2244095     Document Type: Article

References (57)

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. 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, Jan. 2002.
3. X. Ceamanos, S. Douté, B. Luo, F. Schmidt, G. Jouannic, and J. Chanussot, "Intercomparison and validation of techniques for spectral unmixing of hyperspectral images: A planetary case study," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4341-4358, Nov. 2011.
4. R. Heylen, D. Burazerovic, and P. Scheunders, "Fully constrained least squares spectral unmixing by simplex projection," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 11, pp. 4112-4122, Nov. 2011.
5. M.-D. Iordache, J. Bioucas-Dias, and A. Plaza, "Sparse unmixing of hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 6, pp. 2014-2039, Jun. 2011.
6. P. M. Atkinson, "Mapping sub-pixel boundaries from remotely sensed images," Innovations in GIS IV. London, U.K.: Taylor & Francis, 1997, ch. 12, pp. 166-180.
7. J. Gavin and C. Jennison, "A subpixel image restoration algorithm," J. Comput. Graph. Stat., vol. 6, no. 2, pp. 182-201, Jun. 1997.
8. P. M. Atkinson, "Issues of uncertainty in super-resolution mapping and the design of an inter-comparison study," in Proc. 8th Int. Symp. Spatial Accur. Assessm. Natural Res. Envir. Sci., Shanghai, China, 2004, pp. 145-154.
9. 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)
10. 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)
11. 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, 2007. (Pubitemid 47196066)
12. J. Verhoeye and R. D. 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)
13. K. C. Mertens, L. P. C. Verbeke, and R. R. D. Wulf, "Sub-pixel mapping with neural networks: Real-world spatial configurations learned from artificial shapes," in Proc. 4th Int. Symp. Remote Sens., Jun. 2003, pp. 1-5.
14. K. C. Mertens, L. P. C. Verbeke, T. Westra, and R. R. D. 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)
15. L. Zhang, K. Wu, Y. Zhong, and P. Li, "A new sub-pixel mapping algorithm based on a BP neural network with an observation model," Neurocomputing, vol. 71, nos. 10-12, pp. 2046-2054, Jun. 2008.
16. 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)
17. 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)
18. 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, Feb. 2006.
19. 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)
20. A. J. Tatem, H. G. Lewis, P. M. Atkinson, and M. S. Nixon, "Multipleclass land-cover mapping at the sub-pixel scale using a Hopfield neural network," Int. J. Appl. Earth Obs. Geoinf., vol. 3, no. 2, pp. 184-190, 2001.
21. 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, Jan. 2002. (Pubitemid 34050050)
22. K. C. Mertens, L. P. C. Verbeke, E. I. Ducheyne, and R. R. D. Wulf, "Using genetic algorithms in sub-pixel mapping," Int. J. Remote Sens., vol. 24, no. 21, pp. 4241-4247, Nov. 2003. (Pubitemid 37447114)
23. Y. Zhong and L. Zhang, "Remote sensing image sub-pixel mapping based on adaptive differential evolution," IEEE Trans. Syst. Man, Cybern. B, Cybern., vol. 42, no. 5, pp. 1306-1329, Oct. 2012.
24. K. C. Mertens, B. D. Baets, L. P. C. Verbeke, and R. R. D. 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)
25. 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, nos. 3-4, pp. 302-314, Jun. 2005. (Pubitemid 40912432)
26. 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.
27. 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.
28. 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.
29. P. Fisher, "The pixel: A snare and a delusion," Int. J. Remote Sens., vol. 18, no. 3, pp. 679-685, Feb. 1997.
30. K. S. Ettabaa, I. R. Farah, and M. B. Ahmed, "Multiagent system for detecting and analysing changes on satellite image sequence," in Proc. IEEE Int. Conf. Ind. Technol., Dec. 2004, pp. 1579-1584. (Pubitemid 41667683)
31. M. Chitsaz and S. Woo Chaw, "A multiagent system approach for medical image segmentation," in Proc. Int. Conf. Future Comput. Commun., Apr. 2009, pp. 408-411.
32. J. M. Liu and Y. Y. Tang, "Adaptive image segmentation with distributed behavior-based agents," IEEE Trans. Pattern Anal. Mach. Intell., vol. 21, no. 6, pp. 544-551, Jun. 1999.
33. B. Wei, L. Zhang, and P. Li, "A method for image segmentation based on random diffused agents," J. Image Graph., vol. 12, no. 12, pp. 2113-2118, Dec. 2007.
34. N. V. Findler and R. Lo, "An examination of distributed planning in the world of air traffic control," J. Parallel Distr. Com., vol. 3, no. 3, pp. 411-431, Sep. 1986. (Pubitemid 17495656)
35. R. Steeb, S. J. Cammarata, F. A. Hayes-Roth, P. W. Thorndyke, and R. Wesson, "Distributed intelligence for air fleet control," Rep. R-2728- ARPA, Dept. Comput. Sci., Univ. Stanford, Stanford, CA, USA, 1981.
36. C. Guilfoyle, J. Jeffcoate, and H. Stark, Agents on the WEB: Catalyst for E-Commerce. London, U.K.: Ovum Ltd. Apr. 1997.
37. C. Guilfoyle and E. Warner, Intelligent Agents: The New Revolution in Software. London, U.K.: Ovum Ltd. May 1994.
38. T. E. Downing, S. Moss, and C. P. Wostl, "Understanding climate policy using participatory agent-based social simulation," Multiagent Based Simul., 2001, pp. 127-140.
39. W. R. Tobler, "A computer movie simulating urban growth in the Detroit region," Econom. Geograph., vol. 46, pp. 234-240, Jun. 1970.
40. D. Song and D. Tao, "Biologically inspired feature manifold for scene classification," IEEE Trans. Image Process., vol. 19, no. 1, pp. 174-184, Jan. 2010.
41. K. Huang, D. Tao, Y. Yuan, X. Li, and T. Tan, "Biologically inspired features for scene classification in video surveillance," IEEE Trans. Syst. Man, Cybern. Part B, Cybern., vol. 41, no. 1, pp. 307-313, Feb. 2011.
42. A. M. Muad, "Super resolution mapping," Ph.D. dissertation, School Geography, Univ. Nottingham, U.K., 2011.
43. 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. Geoinf., vol. 15, pp. 79-91, Apr. 2012.
44. 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.
45. M. Wooldridge, An Introduction to Multiagent Systems. New York, USA: Wiley, 2002.
46. M. Wooldridge, "Agent-based software engineering," IEEE Trans. Softw. Eng., vol. 144, no. 1, pp. 26-37, Feb. 1997.
47. M. Wooldridge and N. R. Jennings, "Intelligent agents: Theory and practice," Knowl. Eng. Rev., vol. 10, no. 2, pp. 115-152, Jun. 1995.
48. E. G. P. Bovenkamp, J. Dijkstra, J. G. Bosch, and J. H. C. Reiber, "Useragent cooperation in multiagent IVUS image segmentation," IEEE Trans. Med. Imag., vol. 28, no. 1, pp. 94-105, Jan. 2009.
49. J. M. Liu, Y. Y. Tang, and Y. C. Cao, "An evolutionary autonomous agents approach to image feature extraction," IEEE Trans. Evol. Comput., vol. 1, no. 2, pp. 141-158, Jul. 1997. (Pubitemid 127771024)
50. N. R. Jennings, "On agent-based software engineering," Artif. Intell. J., vol. 117, no. 2, pp. 277-296, Mar. 2000. (Pubitemid 30567432)
51. T. Zhou, D. Tao, and X. Wu, "Manifold elastic net: A unified framework for sparse dimension reduction," Data Mining Knowl. Discov., vol. 22, no. 3, pp. 340-371, May 2011.
52. W. Bian and D. Tao, "Max-min distance analysis by using sequential SDP relaxation for dimension reduction," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 5, pp. 1037-1050, May 2011.
53. R. G. Pontius and M. Millone, "Death to kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment," Int. J. Remote Sens., vol. 32, no. 15, pp. 4407-4429, Aug. 2011.
54. Q. McNemar, "Note on the sampling error of the difference between correlated proportions or percentages," Psychometrika, vol. 12, no. 2, pp. 153-157, Jun. 1947.
55. O. Debeir, I. Van den Steen, P. Latinne, P. Van Ham, and E. Wolff, "Textural and contextual land-cover classification using single and multiple classifier systems," Photogramm. Eng. Remote Sens., vol. 68, no. 6, pp. 597-606, Jun. 2002.
56. Y. Zhong and L. Zhang, "An adaptive artificial immune network for supervised classification of multi-/hyperspectral remote sensing imagery," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 894-909, Mar. 2012.
57. E. Alpaydin, Introduction to Machine Learning. Cambridge, MA, USA: MIT Press, Oct. 2004.