A super-resolution mapping method using local indicator variograms

International Journal of Remote Sensing

Volumn 33, Issue 24, 2012, Pages 7747-7773

  Jin, Huiran ^a   Mountrakis, Giorgos ^a   Li, Peijun ^b  

^a 402 Baker Laboratory   (United States)

^b PEKING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84876502185     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2012.702234     Document Type: Article

References (44)

1. Aplin, P. and Atkinson, P.M., 2001, Sub-pixel land cover mapping for per-field classification. International Journal of Remote Sensing,22, pp. 2853-2858.
2. Atkinson, P.M., 1997, Mapping sub-pixel boundaries from remotely sensed images. In Innovations in GIS IV, Z. Kemp (Ed.), pp. 166-180 (London: Taylor and Francis).
3. Atkinson, P.M., 2001a, Super-resolution target mapping from soft-classified remotely sensed imagery. In Proceedings of the 6th International Conference on GeoComputation, 24-26 September 2001, Brisbane, QLD (Greenwich: GeoComputation CD-ROM).
4. Atkinson, P.M., 2001b, Geographical information science: GeoComputation and nonstation-arity. Progress in Physical Geography,25, pp. 111-122.
5. Atkinson, PM., 2004, Super-resolution land cover classification using the two-point histogram. In GeoENV IV: Geostatistics for Environmental Applications, X. Sanchez-Vila, J. Carrera and J.J. Gomez-Hernandez (Eds.), pp. 15-28 (The Netherlands: Kluwer).
6. Atkinson, P.M., 2005, Sub-pixel target mapping from soft-classified, remotely sensed imagery. Photogrammetric Engineering and Remote Sensing,71, pp. 839-846.
7. Atkinson, PM., Pardo-Igúzquiza, E. and Chica-Olmo, M., 2008, Downscaling cokriging for super-resolution mapping of continua in remotely sensed images. IEEE Transactions on Geoscience and Remote Sensing,46, pp. 573-580.
8. Bateson, C.A., Asner, G.P and Wessman, C.A., 2000, Endmember bundles: a new approach to incorporating endmember variability into spectral mixture analysis. IEEE Transactions on Geoscience and Remote Sensing,38, pp. 1083-1094.
9. Boucher, A., 2009, Sub-pixel mapping of coarse satellite remote sensing images with stochastic simulations from training images. Mathematical Geosciences,41, pp. 265-290.
10. Boucher, A. and Kyriakidis, P.C., 2006, Super-resolution land cover mapping with indicator geostatistics. Remote Sensing of Environment,104, pp. 264-282.
11. Boucher, A. and Kyriakidis, PC., 2007, Integrating fine scale information in super resolution land cover mapping. Photogrammetric Engineering and Remote Sensing,73, pp. 913-921.
12. Boucher, A. and Kyriakidis, PC., 2008, Geostatistical solutions for super-resolution land cover mapping. IEEE Transactions on Geoscience and Remote Sensing,46, pp. 272-283.
13. Campell, J.B., 1996, Introduction to Remote Sensing (London: Taylor and Francis).
14. Congalton, R.G. and Green, K., 1999, Assessing the Accuracy of Remotely Sensed Data: Principles and Practice, pp. 49-53 (Boca Raton, FL: Lewis Publishers, CRC Press).
15. Curran, PJ. and Atkinson, P.M., 1998, Geostatistics and remote sensing. Progress in Physical Geography, 22, pp. 61-78.
16. Fisher, P.F., 1997, The pixel: a snare and a delusion. International Journal of Remote Sensing, 18, pp. 679-685.
17. Foody, G.M., 1996, Approaches for the production and evaluation of fuzzy land-cover classifications from remotely sensed data. International Journal of Remote Sensing,17, pp. 1317-1340.
18. Foody, G.M., 2001, Monitoring the magnitude of land-cover change around the southern limits of the Sahara. Photogrammetric Engineering and Remote Sensing,67, pp. 841-847.
19. Foody, G.M. and Doan, H.T.X., 2007, Variability in soft classification prediction and its implications for sub-pixel scale change detection and super resolution mapping. Photogrammetric Engineering and Remote Sensing,73, pp. 923-933.
20. Goovaerts, P., 1997, Geostatistics for Natural Resources Evaluation (New York: Oxford University Press).
21. Haertel, V., Shimabukuro, YE. and Almeida-Filho, R., 2004, Fraction images in multitemporal change detection. International Journal of Remote Sensing,25, pp. 5473-5489.
22. Homer, C., Dewitz, J., Fry, J., Coan, M., Hossain, N., Larson, C., Herold, N., McKerrow, A., Vandriel, J.N. and Wickham, J., 2007, Completion of the 2001 National Land Cover Database for the coterminous United States. Photogrammetric Engineering and Remote Sensing,73, pp. 337-341.
23. Homer, C., Huang, C., Yang, L., Wylie, B. and Coan, M., 2004, Development of a 2001 National Land Cover Database for the United states. Photogrammetric Engineering and Remote Sensing,70, pp. 829-840.
24. Kasetkasem, T., Arora, M. and Varshney, P, 2005, Super-resolution land cover mapping using a Markov random field approach. Remote Sensing of Environment,96, pp. 302-314.
25. Makido, Y. and Shortridge, A., 2005, Land cover mapping at subpixel scales: unraveling the mixed pixel. In Proceedings of the 8th International Conference on GeoComputation, 1-3 August 2005, Ann Arbor, MI (Greenwich: GeoComputation CD-ROM).
26. Makido, Y and Shortridge, A., 2007, Assessing alternatives for modeling the spatial distribution of multiple land cover classes at sub-pixel scales. Photogrammetric Engineering and Remote Sensing,73, pp. 935-943.
27. Memarsadeghi, N., Le Moigne, J., Mount, D.M. and Morisette, J., 2006, A new approach to image fusion based on cokriging. In Proceedings of the 8th International Conference on Information Fusion, 25-29 July 2005, Philadelphia, PA (Sunnyvale, CA: International Society of Information Fusion).
28. Mertens, K.C., De Baets, B., Verbeke, L.PC. and De Wulf, R.R., 2006, A sub-pixel mapping algorithm based on sub-pixel/pixel spatial attraction models. International Journal of Remote Sensing,27, pp. 3293-3310.
29. Mertens, K.C., Verbeke, L.PC., Ducheyne, E.I. and De Wulf, R.R., 2003, Using genetic algorithms in sub-pixel mapping. International Journal of Remote Sensing,24, pp. 4241-4247.
30. Mertens, K.C., Verbeke, L.PC., Westra, T. and De Wulf, R.R., 2004, Sub-pixel mapping and sub-pixel sharpening using neural network predicted wavelet coefficients.Remote Sensing of Environment,91, pp. 225-236.
31. Nguyen, M.Q., Atkinson, P.M. and Lewis, H.G., 2006, Superresolution mapping using a Hopfield neural network with fused images. IEEE Transactions on Geoscience and Remote Sensing,44, pp. 736-749.
32. Pardo-Igúzquiza, E., Chica-Olmo, M. and Atkinson, P.M., 2006, Downscaling cokriging for image sharpening. Remote Sensing of Environment,102, pp. 86-98.
33. Richards, J.A. and Jia, X., 1999, Remote Sensing Digital Image Analysis,3rd ed. (Berlin: Springer-Verlag).
34. Schowengerdt, R.A., 1997, Remote Sensing: Models and Methods for Image Processing (San Diego, CA: Academic).
35. Small, C., 2004, The Landsat ETM+ spectral mixing space. Remote Sensing of Environment, 93, pp. 1-17.
36. Stehman, S.V, Wickham, J.D., Smith, J.H. and Yang, L., 2003, Thematic accuracy of the 1992 National Land-Cover Data (NLCD) for the eastern United States: statistical methodology and regional results. Remote Sensing of Environment,86, pp. 500-516.
37. Tatem, A.J., Lewis, H.G., Atkinson, P.M. and Nixon, M.S., 2001, Super resolution target identification from remotely sensed images using a Hopfield neural network. IEEE Transactions on Geoscience and Remote Sensing,39, pp. 781-796.
38. Tatem, A.J., Lewis, H.G., Atkinson, P.M. and Nixon, M.S., 2002, Super resolution land cover pattern prediction using a Hopfield neural network. Remote Sensing of Environment,79, pp. 1-14.
39. Tatem, A.J., Lewis, H.G., Atkinson, P.M. and Nixon, M.S., 2003, Increasing the spatial resolution of agricultural land cover maps using a Hopfield neural network. International Journal of Geographical Information Science,17, pp. 647-672.
40. Thornton, M.W., Atkinson, P.M. and Holland, D.A., 2006, Sub-pixel mapping of rural land cover objects from fine spatial resolution satellite sensor imagery using superresolution pixel-swapping. International Journal of Remote Sensing,27, pp. 473-491.
41. Tso, B. and Mather, P, 2001, Classification Methods for Remotely Sensed Data (London: Taylor and Francis).
42. Verhoeye, J. and De Wulf, R., 2002, Land cover mapping at sub-pixel scales using linear optimization techniques. Remote Sensing of Environment,79, pp. 96-104.
43. Yang, L., Stehman, S.V., Smith, J.H. and Wickham, J.D., 2001, Short communication: thematic accuracy of MRLC land-cover for the eastern United States. Remote Sensing of Environment,76, pp. 418-422.
44. Zhan, Q., Molenaar, M. and Lucieer, A., 2002, Pixel unmixing at the sub-pixel scale based on land cover class probabilities: application to urban areas. in Uncertainty in Remote Sensing and GIS, G.M. Foody and P.M. Atkinson (Eds.), pp. 59-76 (Chichester: John Wiley Sons Ltd.).