Superresolution mapping of remotely sensed image based on hopfield neural network with anisotropic spatial dependence model

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 7, 2014, Pages 1265-1269

  Li, Xiaodong ^a   Du, Yun ^a   Ling, Feng ^a   Feng, Qi ^a   Fu, Bitao ^b  

^a Wuhan National Laboratory for Optoelectronics   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Anisotropic spatial dependence model; Hopfield neural network (HNN); sobel operator; superresolution mapping (SRM)

Indexed keywords

ANISOTROPY; HOPFIELD NEURAL NETWORKS; MAPPING;

GRADIENT MAGNITUDE; HOPFIELD NEURAL NETWORKS (HNN); LANDSAT MULTISPECTRAL IMAGES; NEIGHBORHOOD SYSTEMS; REMOTELY SENSED IMAGES; SOBEL OPERATOR; SPATIAL DEPENDENCE; SUPER-RESOLUTION MAPPINGS;

OPTICAL RESOLVING POWER;

EID: 84897026671     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2013.2291778     Document Type: Article

References (21)

1. 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, Sep. 2009
2. 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)
3. X. Li, Y. Du, F. Ling, S. Wu , and Q. Feng, "Using a sub-pixel mapping model to improve the accuracy of landscape pattern indices," Ecolog. Indicators, vol. 11, no. 5, pp. 1160-1170, Sep. 2011
4. F. Ling, W. B. 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
5. 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, Jun. 2010
6. 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
7. Y. F. Su, G. M. Foody, A. M. Muad, and K.-S. Cheng, "Combining Hopfield neural network and contouring methods to enhance superresolution mapping," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 5, pp. 1403-1417, Oct. 2012
8. 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 Observ. Geoinf., vol. 3, no. 2, pp. 184- 190, 2001
9. 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)
10. 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)
11. K. Mertens, L. Verbeke, E. Ducheyne, and R. R. De Wulf, "Using genetic algorithms in sub-pixel mapping," Int. J. Remote Sens., vol. 24, no. 21, pp. 4241-4247, Jan. 2003 (Pubitemid 37447114)
12. 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)
13. Q. M. Wang, L. G. Wang, and D. F. Liu, "Particle swarm optimizationbased sub-pixel mapping for remote-sensing imagery," Int. J. Remote Sens., vol. 33, no. 20, pp. 6480-6496, Oct. 2012
14. 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
15. 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)
16. 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)
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. F. Ling, X. Li, F. Xiao, S. Fang, and Y. Du, "Object-based sub-pixel mapping of buildings incorporating the prior shape information from remotely sensed imagery," Int. J. Appl. Earth Observ. Geoinf., vol. 18, pp. 283-292, Aug. 2012
19. R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval. New York, NY, USA: ACM Press, 1999
20. 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
21. J. Jin, B. Wang, and L. Zhang, "A novel approach based on fisher discriminant null space for decomposition of mixed pixels in hyperspectral imagery," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 4, pp. 699-703, Oct. 2010.