Sub-pixel mapping of remote sensing images based on radial basis function interpolation

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 92, Issue , 2014, Pages 1-15

  Wang, Qunming ^a   Shi, Wenzhong ^a   Atkinson, Peter M ^b  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Downscaling; Hard classification; Radial basis function (RBF) interpolation; Sub pixel mapping (SPM); Super resolution mapping

Indexed keywords

FUNCTIONS; IMAGE RECONSTRUCTION; INTERPOLATION; RADIAL BASIS FUNCTION NETWORKS;

ALLOCATION PROCESS; DOWN-SCALING; LAND COVER MAPPING; RADIAL BASIS FUNCTION INTERPOLATION; RADIAL BASIS FUNCTION(RBF); REMOTE SENSING IMAGES; SUB-PIXEL MAPPING; SUPER-RESOLUTION MAPPINGS;

PIXELS;

ACCURACY ASSESSMENT; ESTIMATION METHOD; IMAGE ANALYSIS; INTERPOLATION; LAND COVER; MAPPING; PIXEL; REMOTE SENSING;

EID: 84896513168     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2014.02.012     Document Type: Article

References (52)

1. Ardila J.P., Tolpekin V.A., Bijker W., Stein A. Markov-random-field-based super-resolution mapping for identification of urban trees in VHR images. ISPRS J. Photogram. Remote Sens. 2011, 66:762-775.
2. Atkinson P.M. Mapping sub-pixel boundaries from remotely sensed images. Innov. GIS 1997, 4:166-180.
3. Atkinson P.M. Sub-pixel target mapping from soft-classified, remotely sensed imagery. Photogram. Eng. Remote Sens. 2005, 71(7):839-846.
4. Atkinson P.M. Issues of uncertainty in super-resolution mapping and their implications for the design of an inter-comparison study. Int. J. Remote Sens. 2009, 30(20):5293-5308.
5. Atkinson P.M. Downscaling in remote sensing. Int. J. Appl. Earth Obs. Geoinf. 2013, 22:106-114.
6. Bioucas-Dias J.M., Plaza A., Dobigeon N., Parente M., Du Q., Gader P., Chanussot J. Hyperspectral unmixing overview: geometrical, statistical and sparse regression-based approaches. IEEE J. Selected Topics Appl. Earth Observ. Remote Sens. 2012, 5(2):354-379.
7. Boucher A., Kyriakidis P.C. Super-resolution land cover mapping with indicator geostatistics. Remote Sens. Environ. 2006, 104(3):264-282.
8. Buhmann M.D. Radial Basis Functions: Theory and Implementations 2003, Cambridge University Press, Cambridge, UK.
9. Carr J.C., Fright W.R., Beatson R.K. Surface interpolation with radial basis functions for medical imaging. IEEE Trans. Med. Imag 1997, 16(1):96-107.
10. Carr, J.C., Beatson, R.K., Cherrie, J.B., Mitchell, T.J., Fright, W.R., McCallum, B.C., Evans, T.R., 2001. Reconstruction and representation of 3D objects with radial basis functions. In: Proceedings of the 28th Annual Conference on Computer Graphics and Interactive, Techniques, pp. 67-76.
11. Foody G.M. Estimation of sub-pixel land cover composition in the presence of untrained classes. Comput. Geosci. 2000, 26:469-478.
12. Foody G.M., Muslim A.M., Atkinson P.M. Super-resolution mapping of the waterline from remotely sensed data. Int. J. Remote Sens. 2005, 26(24):5381-5392.
13. Fuji Y., Abe Y., Iiguni Y. Matching parameter estimation by using the radial basis function interpolation. IET Image Proc. 2012, 6(4):407-416.
14. Ge Y. Sub-pixel land-cover mapping with improved proportion images upon multiple-point simulation. Int. J. Appl. Earth Obs. Geoinf. 2013, 22:115-126.
15. González J., Rojas I., Ortega J., Pomares H., Fernández F.J., Díaz A.F. Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation. IEEE Trans. Neural Networks 2003, 14(6):1478-1495.
16. Heinz D.C., Chang C.-I. Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery. IEEE Trans. Geosci. Remote Sens. 2001, 39(3):529-545.
17. Jin H., Mountrakis G., Li P. A super-resolution mapping method using local indicator variograms. Int. J. Remote Sens. 2012, 33(24):7747-7773.
18. Kasetkasem T., Arora M.K., Varshney P.K. Super-resolution land-cover mapping using a Markov random field based approach. Remote Sens. Environ. 2005, 96(3/4):302-314.
19. Lee Y.J., Yoon J. Nonlinear image upsampling method based on radial basis function interpolation. IEEE Trans. Image Process. 2010, 19(10):2682-2692.
20. Li F., Jia X., Fraser D. Superresolution reconstruction of multispectral data for improved image classification. IEEE Geosci. Remote Sens. Lett. 2009, 6(4):689-693.
21. Li X., Ling F., Du Y., Zhang Y. Spatially adaptive superresolution land cover mapping with multispectral and panchromatic images. IEEE Trans. Geosci. Remote Sens. 2013, 10.1109/TGRS.2013.2266345.
22. Ling F., Du Y., Xiao F., Li X. Subpixel land cover mapping by integrating spectral and spatial information of remotely sensed imagery. IEEE Geosci. Remote Sens. Lett. 2012, 9(3):408-412.
23. Ling F., Li X., Xiao F., Fang S., Du Y. Object-based sub-pixel mapping of buildings incorporating the prior shape information from remotely sensed imagery. Int. J. Appl. Earth Obs. Geoinf. 2012, 18:283-292.
24. Magoules F., Diago L.A., Hagiwara I. Efficient preconditioning for image reconstruction with radial basis functions. Adv. Eng. Softw. 2007, 38:320-327.
25. Mahmood Z., Akhter M.A., Thoonen G., Scheunders P. Contextual subpixel mapping of hyperspectral images making use of a high resolution color image. IEEE J. Select. Topics Appl. Earth Observ. Remote Sens. 2013, 6(2):779-791.
26. Makido Y., Shortridge A., Messina J.P. Assessing alternatives for modeling the spatial distribution of multiple land-cover classes at sub-pixel scales. Photogram. Eng. Remote Sens. 2007, 73(8):935-943.
27. Mertens K.C., Verbeke L.P.C., Ducheyne E.I., De Wulf R Using genetic algorithms in sub-pixel mapping. Int. J. Remote Sens. 2003, 24(21):4241-4247.
28. Mertens K.C., Basets B.D., Verbeke L.P.C., De Wulf R. A sub-pixel mapping algorithm based on sub-pixel/pixel spatial attraction models. Int. J. Remote Sens. 2006, 27(15):3293-3310.
29. Muad A.M., Foody G.M. Impact of land cover patch size on the accuracy of patch area representation in HNN-based super resolution mapping. IEEE J. Selected Topics Appl. Earth Observ. Remote Sens. 2012, 5(5):1418-1427.
30. Muad A.M., Foody G.M. Super-resolution mapping of lakes from imagery with a coarse spatial and fine temporal resolution. Int. J. Appl. Earth Obs. Geoinf. 2012, 15:79-91.
31. Nguyen M.Q., Atkinson P.M., Lewis H.G. Superresolution mapping using a Hopfield neural network with LIDAR data. IEEE Geosci. Remote Sens. Lett. 2005, 2(3):366-370.
32. Nguyen M.Q., Atkinson P.M., Lewis H.G. Super-resolution mapping using Hopfield neural network with panchromatic imagery. Int. J. Remote Sens. 2011, 32(21):6149-6176.
33. Nigussie D., Zurita-Milla R., Clevers J.G.P.W. Possibilities and limitations of artificial neural networks for subpixel mapping of land cover. Int. J. Remote Sens. 2011, 32(22):7203-7226.
34. Pollandt R. Solving nonlinear differential equations of mechanics with the boundary element method and radial basis functions. Int. J. Numer. Meth. Eng. 1997, 40(1):61-73.
35. Shao Y., Lunetta R.S. Sub-pixel mapping of tree canopy, impervious surfaces, and cropland in the laurentian great lakes basin using MODIS time-series data. IEEE J. Selected Topics Appl. Earth Observ. Remote Sens. 2011, 4(2):336-347.
36. Su Y.F., Foody G.M., Muad A.M., Cheng K.S. Combining pixel swapping and contouring methods to enhance super-resolution mapping. IEEE J. Selected Topics Appl. Earth Observ. Remote Sens. 2012, 5(5):1428-1437.
37. Tatem, A.J., 2002. Super-Resolution Land Cover Mapping from Remotely Sensed Imagery Using a Hopfield Neural Network. Ph.D. Dissertation, University of Southampton.
38. Tatem A.J., Lewis H.G., Atkinson P.M., Nixon M.S. Multi-class land cover mapping at the sub-pixel scale using a Hopfield neural network. Int. J. Appl. Earth Obs. Geoinf. 2001, 3(2):184-190.
39. Thornton M.W., Atkinson P.M., Holland D.A. A linearised pixel-swapping method for mapping rural linear land cover features from fine spatial resolution remotely sensed imagery. Comput. Geosci. 2007, 33:1261-1272.
40. Tolpekin V.A., Stein A. Quantification of the effects of land-cover-class spectral separability on the accuracy of Markov-random-field based superresolution mapping. IEEE Trans. Geosci. Remote Sens. 2009, 47(9):3283-3297.
41. Torres C.E., Barba L.A. Fast radial basis function interpolation with Gaussians by localization and iteration. J. Comput. Phys. 2009, 228:4976-4999.
42. Verhoeye J., Wulf R.De. Land-cover mapping at sub-pixel scales using linear optimization techniques. Remote Sens. Environ. 2002, 79(1):96-104.
43. Villa A., Chanussot J., Benediktsson J.A., Jutten C. Spectral unmixing for the classification of hyperspectral images at a finer spatial resolution. IEEE J. Selected Topics Signal Process. 2011, 5(3):521-533.
44. Wang Q., Shi W. Utilizing multiple subpixel shifted image in subpixel mapping with image interpolation. IEEE Geosci. Remote Sens. Lett. 2014, 11(4):798-802.
45. Wang L., Wang Q. Subpixel mapping using Markov random field with multiple spectral constraints from subpixel shifted remote sensing images. IEEE Geosci. Remote Sens. Lett. 2013, 10(3):598-602.
46. Wang S., Lim K., Khoo B., Wang M. An extended level set method for shape and topology optimization. J. Comput. Phys. 2007, 221(1):395-421.
47. Wang Q., Wang L., Liu D. Particle swarm optimization-based sub-pixel mapping for remote-sensing imagery. Int. J. Remote Sens. 2012, 33(20):6480-6496.
48. Wang Q., Shi W., Wang L. Allocating classes for soft-then-hard subpixel mapping algorithms in units of class. IEEE Trans. Geosci. Remote Sens. 2014, 52(5):2940-2959.
49. Wang Q., Shi W., Wang L. Indicator cokriging-based subpixel land cover mapping with shifted images. IEEE J. Selected Topics Appl. Earth Observ. Remote Sens. 2014, 7(1):327-339.
50. Xu X., Zhong Y., Zhang L., Zhang H. Sub-pixel mapping based on a MAP model with multiple shifted hyperspectral imagery. IEEE J. Selected Topics Appl. Earth Observ. Remote Sens. 2013, 6(2):580-593.
51. Zhang L., Zhang L., Tao D., Huang X. Tensor discriminative locality alignment for hyperspectral image spectral-spatial feature extraction. IEEE Trans. Geosci. Remote Sens. 2013, 51(1):242-256.
52. Zhong Y., Zhang L. Remote sensing image subpixel mapping based on adaptive differential evolution. IEEE Trans. Systems, Man, and Cybern. - Part B: Cybern. 2012, 42(5):1306-1329.