Impact of land cover patch size on the accuracy of patch area representation in HNN-based super resolution mapping

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 5, Issue 5, 2012, Pages 1418-1427

  Muad, Anuar M ^a   Foody, Giles M ^b  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Hopfield Neural Network; image classification; land surface; spatial resolution

Indexed keywords

LAND COVER; LAND SURFACE; LANDSCAPE PATTERN; LANDSCAPE TYPE; MAPPING METHOD; MIXED PIXEL; NUMBER OF ITERATIONS; PARAMETER SETTING; PATCH AREA; PATCH SIZE; REAL DATA SETS; REMOTELY SENSED DATA; SOFT CLASSIFICATION; SPATIAL RESOLUTION; SUB PIXELS; SUPER RESOLUTION;

HOPFIELD NEURAL NETWORKS; IMAGE CLASSIFICATION; OPTICAL RESOLVING POWER; PIXELS; REMOTE SENSING;

MAPPING;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; IMAGE CLASSIFICATION; LAND COVER; LAND SURFACE; LANDSCAPE; MAPPING METHOD; PATCH SIZE; PIXEL; SPATIAL RESOLUTION;

EID: 84869429066     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2191145     Document Type: Article

References (36)

1. G.M. Foody, "Status of land cover classification accuracy assessment," Remote Sens. Environ., vol. 80, pp. 185-201, 2002. (Pubitemid 34271212)
2. P. F. Fisher and S. Pathirana, "The evaluation of fuzzy membership of land cover classes in the suburban zone," Remote Sens. Environ., vol. 34, pp. 121-132, 1990.
3. G. M. Foody, "Approaches for the production and evaluation of fuzzy land cover classifications from remotely-sensed data," Int. J. Remote Sens., vol. 17, pp. 1317-1340, 1996.
4. F. Wang, "Fuzzy supervised classification of remote-sensing images," IEEE Trans. Geosci. Remote Sens., vol. 28, pp. 194-201, 1990. (Pubitemid 20666545)
5. T. F. Wood and G.M. Foody, "Analysis and representation of vegetation continua from Landsat Thematic Mapper data for lowland heaths," Int. J. Remote Sens., vol. 10, pp. 181-191, 1989.
6. G. M. Foody, N. A. Campbell, N. M. Trodd, and T. F. Wood, "Derivation and applications of probabilistic measures of class membership from the maximum-likelihood classification," Photogramm. Eng. Remote Sens., vol. 58, pp. 1335-1341, 1992. (Pubitemid 23374628)
7. J. Knight and M. Voth, "Mapping impervious cover using multi-temporal MODIS NDVI data," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. (JSTARS), vol. 4, pp. 303-309, 2011.
8. S. Lee and R. G. Lathrop, "Subpixel analysis of Landsat ETM+ using self-organising map (SOM) neural networks for urban land cover characterization," IEEE Trans. Geosci. Remote Sens., vol. 44, pp. 1642-1654, 2006. (Pubitemid 43824509)
9. R. S. Defries, M. C. Hansen, and J. R. G. Townshend, "Global continuous fields of vegetation characteristics: A linear mixture model applied to multi-year 8 km AVHRR data," Int. J. Remote Sens., vol. 21, pp. 1389-1414, 2000. (Pubitemid 30242141)
10. M. C. Hansen, A. Egorov, D. P. Roy, P. Potapov, J. C. Ju, S. Turubanova, I. Kommareddy, and T. R. Loveland, "Continuous fields of land cover for the conterminous United States using Landsat data: First results from the web-enabled Landsat data (WELD) project," Remote Sens. Lett., vol. 2, pp. 279-288, 2011.
11. A. M. Muslim, G. M. Foody, and P. M. Atkinson, "Shoreline mapping from coarse-spatial resolution remote sensing imagery of Seberang Takir, Malaysia," J. Coast. Res., vol. 23, pp. 1399-1408, 2007.
12. K. C. Mertens, L. P. C. Verbeke, T. Westra, and R. R. De Wulf, "Sub-pixel mapping and sub-pixel sharpening using neural network predicted wavelet coefficients," Remote Sens. Environ., vol. 91, pp. 225-236, 2004. (Pubitemid 38700323)
13. A. Boucher, P. C. Kyriakidis, and C. Cronkite-Ratcliff, "Geostatistical solutions for super-resolution land cover mapping," IEEE Trans. Geosci. Remote Sens., vol. 46, pp. 272-283, 2008. (Pubitemid 350281158)
14. 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, pp. 557-567, 2009.
15. Y.Ge, S. Li, andV. C. Lakhan, "Development and testing of a subpixel mapping algorithm," IEEE Trans. Geosci. Remote Sens., vol. 47, pp. 2155-2164, 2009.
16. 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, pp. 521-533, 2011.
17. 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, 2012.
18. X. Li, T. X. Zhao, and X. Chen, "A super resolution approach for spectral unmixing of remote sensing images," Int. J. Remote Sens., vol. 32, pp. 6091-6107, 2011.
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, pp. 781-796, 2001. (Pubitemid 32432734)
20. A. J. Tatem, H. G. Lewis, P. M. Atkinson, andM. S. Nixon, "Multipleclass land-cover mapping at the sub-pixel scale using a Hopfield neural network," Int. J. Appl. Earth Observ. Geoinf., vol. 3, pp. 184-190, 2001.
21. A. J. Tatem, H. G. Lewis, P. M. Atkinson, and M. S. Nixon, "Super-resolution land cover pattern prediction using a Hopfield neural network," Remote Sens. Environ., vol. 79, pp. 1-14, 2002. (Pubitemid 34050050)
22. P. Fisher, "The pixel: A snare or a delusion," Int. J. Remote Sens., vol. 18, pp. 679-685, 1997.
23. J. J. Hopfield, "Neural networks and physical systems with emergent collective computational abilities," Proc. National Academy of Sciences, USA, vol. 79, pp. 2554-2558, 1982.
24. J. J. Hopfield, "Neurons with graded response have collective computational properties like those of two-state neurons," Proc. National Academy of Sciences, USA, vol. 81, pp. 3088-3092, 1984. (Pubitemid 14109528)
25. F. Ling, Y. Du, F. Xiao, H. Xue, and S. S. Wu, "Super-resolution land-cover mapping using multiple sub-pixel shifted remotely sensed images," Int. J. Remote Sens., vol. 31, pp. 5023-5040, 2010.
26. W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes: The Art of Scientific Computing, 3rd ed. Cambridge, UK: Cambridge University Press, 2007.
27. Q. M. 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, pp. 366-370, 2005. (Pubitemid 41633151)
28. Q. M. Nguyen, P. M. Atkinson, and H. G. Lewis, "Super-resolution mapping using Hopfield neural network with panchromatic imagery," Int. J. Remote Sens., vol. 32, pp. 6149-6176, 2011.
29. J. C. Bezdek, R. Ehrlich, andW. Full, "FCM: The fuzzy c-means clustering algorithm," Comput. Geosci., vol. 10, pp. 191-203, 1984. (Pubitemid 15436087)
30. A. M. Muad, "Super resolution mapping," Ph.D. dissertation, Univ. Nottingham, Nottingham, UK, 2011.
31. M. F. McCabe, P. Chylek, and M. K. Dubey, "Detecting ice-sheet melt area over western Greenland using MODIS and AMSR-E data for the summer periods of 2002-2006," Remote Sens. Lett., vol. 2, pp. 117-126, 2011.
32. Y. H. He, S. E. Franklin, X. L. Guo, and G. B. Stenhouse, "Objectorientated classification of multi-resolution images for the extraction of narrow linear forest disturbance," Remote Sens. Lett., vol. 2, pp. 147-155, 2011.
33. J. A. Downing, Y. T. P. Striegl, W. H. McDowell, P. Kortelainen, N. F. Caraco, J. M. Melack, and J. J. Middelburg, "The global abundance and size distribution of lakes, ponds and impoundments," Limnanogr. Oceanogr., vol. 51, pp. 2388-2397, 2006. (Pubitemid 44529542)
34. L. C. Smith, Y. Sheng, G. M. MacDonald, and L. D. Hinzman, "Disappearing Arctic lakes," Science, vol. 308, pp. 1429-1429, 2005.
35. E. F. Vermote, N. Z. El Saleous, and C. O. Justice, "Atmospheric correction of MODIS data in the visible to middle-infrared: First results," Remote Sens. Environ., vol. 83, pp. 97-111, 2002. (Pubitemid 35307463)
36. C. J. Jackett, P. J. Turner, J. L. Lovell, and R. N.Williams, "Deconvolution of MODIS imagery using multiscale maximum entropy," Remote Sens. Lett., vol. 2, pp. 179-187, 2011.