Particle swarm optimization-based sub-pixel mapping for remote-sensing imagery

International Journal of Remote Sensing

Volumn 33, Issue 20, 2012, Pages 6480-6496

  Wang, Qunming ^a   Wang, Liguo ^a   Liu, Danfeng ^a  

^a HARBIN ENGINEERING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

PARTICLE SWARM OPTIMIZATION (PSO); REMOTE SENSING; SPATIAL DISTRIBUTION;

MIXED PIXEL; MOST LIKELY; PIXEL-SWAPPING; POST PROCESSING; REMOTE SENSING IMAGERY; SPECTRAL UNMIXING; SUB PIXELS; SUB-PIXEL MAPPING;

PIXELS;

ACCURACY ASSESSMENT; ALGORITHM; IMAGERY; MAPPING METHOD; OPTIMIZATION; PIXEL; REMOTE SENSING; SPATIAL DISTRIBUTION; SPECTRAL ANALYSIS;

EID: 84861878835     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2012.690541     Document Type: Article

References (32)

1. Akjiratikarl, C., Yenradee, P. and Drake, P.R. 2007. PSO-based algorithm for home care worker scheduling in the UK. Computers & Industrial Engineering, 53: 559-583.
2. Atkinson, P.M. 1997. Innovations in GIS 4, 166-180. London: Taylor & Francis.
3. Atkinson, P.M. 2001. "Super-resolution target mapping from soft-classified remotely sensed imagery". In Proceedings of the 5th International Conference on GeoComputation, Leeds, UK: University of Leeds.
4. Atkinson, P.M. 2005. Sub-pixel target mapping from soft-classified, remotely sensed imagery. Photogrammetric Engineering & Remote Sensing, 71: 839-846.
5. Cohen, J. 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20: 37-46.
6. Ge, Y., Li, S. and Lakhan, V.C. 2009. Development and testing of a subpixel mapping algorithm. IEEE Transactions on Geoscience and Remote Sensing, 47: 2155-2164.
7. Kassaye, R.H. 2006. "Suitability of Markov random field-based method for super-resolution land-cover mapping". In Master dissertation, International Institute for Geo-information Science and Earth Observation
8. Kennedy, J. and Eberhart, R.C. 1995. "Particle swarm optimization". In Proceedings of the IEEE International Conference on Neural Networks 1942-1948. Piscataway, NJ
9. Kennedy, J. and Eberhart, R.C. 1997. "A discrete binary version of the particle swarm algorithm". In Proceedings of the World Multiconference on Systemics, Cybernetics and Informatics 4104-4109. Piscataway, NJ
10. Kennedy, J., Eberhart, R.C. and Shi, Y. 2001. Swarm Intelligence, San Francisco, CA: Morgan Kaufman Publishers.
11. Keshava, N. and Mustard, J.F. 2002. Spectral unmixing. IEEE Signal Processing Magazine, 19: 44-57.
12. Li, M., Wei, L. and Yang, C. 2010. "A global convergence PSO training algorithm of neural networks". In 8th World Congress on Intelligence Control and Automation 3261-3265.
13. Ling, F., Xiao, F., Du, Y., Xue, H.P. and Ren, X.Y. 2008. Waterline mapping at the subpixel scale from remote sensing imagery with high-resolution digital elevation models. International Journal of Remote Sensing, 29: 1809-1815.
14. Liu, X.P., Li, X., Peng, X.J., Li, H.B. and He, J.Q. 2008. Swarm intelligence for classification of remote sensing data. Science in China Series D: Earth Sciences, 51: 79-87.
15. Makido, Y. 2006. Land cover mapping at sub-pixel scales. PhD, MI: dissertation, Michigan State University, East Lansing.
16. Makido, Y., Shortridge, A. and Messina, J.P. 2007. Assessing alternatives for modeling the spatial distribution of multiple land-cover classes at sub-pixel scales. Photogrammetric Engineering & Remote Sensing, 73: 935-943.
17. Mertens, K.C., Basets, B.D., Verbeke, L.P.C. and De Wulf, R.R. 2004. Direct sub-pixel mapping exploiting spatial dependence. Proceedings of the International Geoscience and Remote Sensing Symposium, 5: 3200-3202.
18. Mertens, K.C., Basets, B.D., Verbeke, L.P.C. 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: 3293-3310.
19. Mertens, K.C., Verbeke, L.P.C. and De Wulf, R.R. 2003a. "Sub-pixel mapping with neural networks: real-world spatial configurations learned from artificial shapes". In Proceedings of the 4th International Symposium on Remote Sensing of Urban Areas 117-121. Regensburg, Germany.
20. Mertens, K.C., Verbeke, L.P.C., Ducheyne, E.I. and De Wulf, R.R. 2003b. Using genetic algorithms in sub-pixel mapping. International Journal of Remote Sensing, 24: 4241-4247.
21. Nguyen, M.Q., Atkinson, P.M. and Lewis, H.G. 2005. Superresolution mapping using a Hopfield neural network with LIDAR data. IEEE Geoscience and Remote Sensing Letters, 2: 366-370.
22. Shen, Z., Qi, J. and Wang, K. 2009. Modification of pixel-swapping algorithm with initialization from a sub-pixel/pixel spatial attraction model. Photogrammetric Engineering & Remote Sensing, 75: 557-567.
23. Tatem, A.J., Lewis, H.G., Atkinson, P.M. and Nixon, M.S. 2001a. Super-resolution target identification from remotely sensed images using a Hopfield neural network. IEEE Transactions on Geoscience and Remote Sensing, 39: 781-796.
24. Tatem, A.J., Lewis, H.G., Atkinson, P.M. and Nixon, M.S. 2001b. "Super-resolution mapping of urban scenes from IKONOS imagery using a Hopfield neural network". In Proceedings of the International Geoscience and Remote Sensing Symposium, 3200-3202. Sydney: IEEE.
25. 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: 1-14.
26. Teerasit, K., Arora, M.K. and Varshney, P.K. 2005. Super-resolution land-cover mapping using a Markov random field based approach. Remote Sensing of Environment, 96: 302-314.
27. Thornton, M.W., Atkinson, P.M. and Holland, D.A. 2006. Sub-pixel mapping of rural land cover objects from fine spatial resolution satellite imagery using super-resolution pixel-swapping. International Journal of Remote Sensing, 27: 473-491.
28. Verhoeye, J. and De Wulf, R.R. 2002. Land-cover mapping at sub-pixel scales using linear optimization techniques. Remote Sensing of Environment, 79: 96-104.
29. Wang, L., Zhang, Y. and Li, J. 2006. "BP neural network based sub-pixel mapping method". In International Conference on Intelligent Computing 755-760.
30. Yi, C., Pan, Y. and Zhang, J. 2006. "Multiple-class land cover mapping at sub-pixel scale using an innovated CA model". In Proceedings of the International Geoscience and Remote Sensing Symposium 968-971.
31. Zhang, L., Wu, K., Zhong, Y. and Li, P. 2008. A new sub-pixel mapping algorithm based on a BP neural network with an observation model. Neurocomputing, 71: 2046-2054.
32. Zhi, X.H., Xing, X.L., Wang, Q.X., Zhang, L.H., Yang, X.W., Zhou, C.G. and Liang, Y.C. 2004. "A discrete PSO method for generalized TSP problem". In Proceedings of the 2004 International Conference on Machine Learning and Cybernetics 2378-2383.