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[Journal Papers]   [Conference Papers]  

Selected journal publications:

  1. A. Ma, Y. Zhong, and L. Zhang, "Adaptive Multiobjective Memetic Fuzzy Clustering Algorithm for Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing , vol. 53, no. 8, pp. 4202-4217, 2015.(Code and Data)
  2. Y. Zhong, Y. Wu, X. Xu, and L. Zhang, "An Adaptive SubPixel Mapping Method Based on MAP Model and Class Determination Strategy for Hyperspectral Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 3, pp. 1411-1426, Mar. 2015.(PDF)
  3. Y. Zhong, W. Liu, J. Zhao, and L. Zhang, "Change Detection Based on Pulse-Coupled Neural Networks and the NMI Feature for High Spatial Resolution Remote Sensing Imagery," IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 3, pp. 537-541, Mar. 2015.(PDF)
  4. J. Zhao, Y. Zhong, and L. Zhang, "Detail-Preserving Smoothing Classifier Based on Conditional Random Fields for High Spatial Resolution Remote Sensing Imagery " IEEE Transactions on Geoscience and Remote Sensing,vol. 53, no. 5, pp. 2440-2452, May 2015.(PDF)
  5. L. Wan, K. Tang, M. Li, Y. Zhong, and K. Qin, "Collaborative Active and Semisupervised Learning for Hyperspectral Remote Sensing Image Classification," IEEE Transactions on Geoscience and Remote Sensing,vol. 53, no. 5, pp. 2384-2396, May 2015.(PDF)
  6. R. Feng, Y. Zhong, and L. Zhang, "An Improved Nonlocal Sparse Unmixing Algorithm for Hyperspectral Imagery," IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 4, pp. 915-919, Apr. 2015.(PDF)
  7. Y. Zhong, L. Zhao, and L. Zhang, "An adaptive differential evolution endmember extraction algorithm for hyperspectral remote sensing imagery," IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 6, pp. 1061-1065, Jun. 2014.(PDF)
  8. Y. Zhong, J. Zhao, and L. Zhang, "A hybrid object-oriented conditional random field classification framework for high spatial resolution remote sensing imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 11, pp. 7023-7037, Nov. 2014.(PDF)
  9. Y. Zhong, B. Zhao, and L. Zhang, "Multiagent object-based classifier for high spatial resolution imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 2, pp. 841-857, Feb. 2014.(PDF)
  10. Y. Zhong, Y. Wu, L. Zhang, and X. Xu, "Adaptive MAP Sub-Pixel Mapping Model Based on Regularization Curve for Multiple Shifted Hyperspectral Imagery," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 96, pp. 134-148, Oct. 2014.(PDF)
  11. Y. Zhong, A. Ma, and L. Zhang, "An adaptive memetic fuzzy clustering algorithm with spatial information for remote sensing imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 4, pp. 1235-1248, Apr. 2014.(PDF)
  12. Y. Zhong, X. Lin, and L. Zhang, "A Support Vector Conditional Random Fields Classifier with a Mahalanobis Distance Boundary Constraint for High Spatial Resolution Remote Sensing Imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 4, pp. 1314 - 1330, Apr. 2014.(PDF)
  13. Y. Zhong, R. Feng, and L. Zhang, "Non-Local Sparse Unmixing for Hyperspectral Remote Sensing Imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 1889-1909, Jun. 2014.(PDF)
  14. X. Xu, Y. Zhong, and L. Zhang, "Adaptive subpixel mapping based on a multiagent system for remote-sensing imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 2, pp. 787-804, Feb. 2014.(PDF)
  15. X. Xu, Y. Zhong, and L. Zhang, "A sub-pixel mapping method based on an attraction model for multiple shifted remotely sensed images," Neurocomputing, vol. 134, pp. 79-91, 2014.(PDF)
  16. H. Jiao, Y. Zhong, and L. Zhang, "An Unsupervised Spectral Matching Classifier Based on Artificial DNA Computing for Hyperspectral Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 8, pp. 4524-4538, Aug. 2014.(PDF)
  17. R. Feng, Y. Zhong, and L. Zhang, "Adaptive Non-Local Euclidean Medians Sparse Unmixing for Hyperspectral Imagery," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 97, pp. 9-24, Nov. 2014.(PDF)
  18. Y. Zhong, S. Zhang, and L. Zhang, "Automatic fuzzy clustering based on adaptive multi-objective differential evolution for remote sensing imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 5, pp. 2290-2301, Oct. 2013.(PDF)
  19. Y. Zhong and L. Zhang, "Sub-pixel mapping based on artificial immune systems for remote sensing imagery," Pattern Recognition, vol. 46, no. 11, pp. 2902-2926, 2013.(PDF)
  20. B. Zhao, Y. Zhong, and L. Zhang, "Scene classification via latent Dirichlet allocation using a hybrid generative/discriminative strategy for high spatial resolution remote sensing imagery," Remote Sensing Letters, vol. 4, no. 12, pp. 1204-1213, Dec. 2013.(PDF)
  21. X. Xu, Y. Zhong, L. Zhang, and H. Zhang, "Sub-pixel mapping based on a MAP model with multiple shifted hyperspectral imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 2, pp. 580-593, April 2013.(PDF)
  22. Y. Zhong and L. Zhang, "Remote sensing image subpixel mapping based on adaptive differential evolution," IEEE Transactions on Systems, Man, and Cybernetics Part B, vol. 42, no. 5, pp. 1306-1329, Oct. 2012.(PDF)
  23. Y. Zhong and L. Zhang, "An adaptive artificial immune network for supervised classification of multi-/hyperspectral remote sensing imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 3, pp. 894-909, Mar. 2012.(PDF)
  24. H. Jiao, Y. Zhong, and L. Zhang, "Artificial DNA computing-based spectral encoding and matching algorithm for hyperspectral remote sensing data," IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 10, pp. 4085-4104, Oct. 2012.(PDF)
  25. Y. Zhong, L. Zhang, and W. Gong, "Unsupervised remote sensing image classification using an artificial immune network," International Journal of Remote Sensing, vol. 32, no. 19, pp. 5461-5483, 2011.(PDF)
  26. Y. Zhong and L. Zhang, "A new fuzzy clustering algorithm based on clonal selection for land cover classification," Mathematical Problems in Engineering, vol. 2011, Article ID 708459, pp. 1-21, doi:10.1155/2011/708459, 2011.(PDF)
  27. L. Zhang, B. Du, and Y. Zhong, "Hybrid detectors based on selective endmembers," IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 6, pp. 2633-2646, Jun. 2010.(PDF)
  28. L. Zhang, K. Wu, Y. Zhong, and P. Li, "A new sub-pixel mapping algorithm based on a BP neural network with an observation model," Neurocomputing, vol. 71, no. 10-12, pp. 2046-2054, Jun. 2008.(PDF)
  29. Y. Zhong, L. Zhang, J. Gong, and P. Li, "A supervised artificial immune classifier for remote-sensing imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 12, pp. 3957-3966, Dec. 2007.(PDF)
  30. L. Zhang, Y. Zhong, B. Huang, and P. Li, "A resource limited artificial immune system algorithm for supervised classification of multi/hyper-spectral remote sensing imagery," International Journal of Remote Sensing, vol. 28, no. 7, pp. 1665-1686, Apr. 2007.(PDF)
  31. L. Zhang, Y. Zhong, B. Huang, J. Gong, and P. Li, "Dimensionality reduction based on clonal selection for hyperspectral imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 12, pp. 4172-4186, Dec. 2007.(PDF)
  32. Y. Zhong, L. Zhang, B. Huang, and P. Li, "An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 2, pp. 420-431, Feb. 2006. (PDF)

Selected Conference Papers

  1. Q. Zhu, Y. Zhong, and L. Zhang, "Multi-feature probability topic scene classifier for high spatial resolution remote sensing imagery," in 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014, pp. 2854-2857.
  2. A. MA, Y. Zhong, and L. Zhang, "Remote sensing imagery clustering using an adaptive bi-objective memetic method," in 2014 IEEE Congress on Evolutionary Computation (CEC), 2014, pp. 50-57.
  3. R. Feng, Y. Zhong, and L. Zhang, "Non-local euclidean medians sparse unmixing for hyperspectral remote sensing imagery," in 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014, pp. 4632-4635.
  4. B. Zhao, Y. Zhong, and L. Zhang, "Hybrid Generative/Discriminative Scene Classification Strategy Based on Latent Dirichlet Allocation for High Spatial Resolution Remote Sensing Imagery," in 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2013, pp. 196-199.
  5. X. Xu, Y. Zhongg, L. Zhang, H. Zhang, and R. Feng, "A unified sub-pixel mapping model integrating spectral unmixing for hyperspectral imagery," in Fifth Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013.
  6. A. Ma, Y. Zhong, and L. Zhang, "Adaptive Differential Evolution Fuzzy Clustering Algorithm with Spatial Information and Kernel Metric for Remote Sensing Imagery," in Intelligent Data Engineering and Automated Learning–IDEAL 2013, ed: Springer, 2013, pp. 278-285.
  7. H. Jiao, Y. Zhong, L. Zhang, and P. Li, "Subspace clustering based on decision fusion strategy for hyperspectral imagery," in 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2013, pp. 1485-1488.
  8. Y. Zhong and L. Zhang, "Adaptive multi-objective sub-pixel mapping framework based on memetic algorithm for hyperspectral remote sensing imagery," in XXIIth Congress of International Society for Photogrammetry and Remote Sensing (ISPRS), Melbourne, Australia, 2012, pp. 1-6.
  9. L. Zhang, X. Xu, J. Li, H. Shen, Y. Zhong, and X. Huang, "Research on image reconstruction based and pixel unmixing based sub-pixel mapping methods," in 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012, pp. 7263-7266.
  10. X. Xu, Y. Zhong, and L. Zhang, "Sub-pixel Mapping with Multiple Shifted Remotely Sensed Images Based on Attraction Model," in Intelligent Science and Intelligent Data Engineering. vol. 7202, Y. Zhang, Z.-H. Zhou, C. Zhang, and Y. Li, Eds., ed: Springer Berlin Heidelberg, 2012, pp. 482-489.
  11. R. Feng, Y. Zhong, and L. Zhang, "Non-local sparse spectral unmixing for remote sensing imagery," in Fourth Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Shanghai, China, 2012, pp. 1-4.
  12. Y. Zhong and L. Zhang, "Sub-pixel mapping algorithm based on adaptive differential evolution for remote sensing imagery," in IEEE International Geoscience and Remote Sensing Symposium 2011 (IGARSS 2011), 2011, pp. 1724-1727.
  13. L. Wei, Y. Zhong, L. Zhang, and P. Li, "A New Unsupervised change detection algorithm based on the MRF in remote sensing image," in 2011 Joint Urban Remote Sensing Event (JURSE), 2011, pp. 325-328.
  14. H. Jiao, Y. Zhong, L. Zhang, and P. Li, "Unsupervised remote sensing image classificaiton using an artificial DNA computing," in 2011 seventh international conference on natural computation, Shanghai, China, 2011, pp. 1366-1371.
  15. L. Wei, P. Li, L. Zhang, and Y. Zhong, "An advanced change detection method based on object-oriented classification of multi-band remote sensing image," in 2010 18th International Conference on Geoinformatics, Geoinformatics 2010, June 18, 2010 - June 20, 2010, Beijing, China, 2010, pp. 1-6.
  16. Y. Zhong, L. Zhang, P. Li, and H. Shen, "A sub-pixel mapping algorithm based on artificial immune systems for remote sensing imagery," in IEEE International Geoscience and Remote Sensing Symposium 2009 (IGARSS 2009), 2009, pp. III-1007-III-1010.
  17. Y. C. Huang, P. Li, L. Zhang, and Y. Zhong, "Urban land cover mapping by spatial-spectral feature analysis of high resolution hyperspectral data with decision directed acyclic graph SVM," in 2009 Joint Urban Remote Sensing Event, May 20, 2009 - May 22, 2009, Shanghai, China, 2009, pp. 614-620.
  18. B. Du, L. Zhang, P. Li, and Y. Zhong, "A target detection algorithm for urban areas using HSRH imagery," in 2009 Joint Urban Remote Sensing Event, 2009, pp. 1-5.
  19. Y. Zhong, L. Zhang, and P. Li, "An artificial immune algorithm for spectrum recognition of hyperspectral data," in XXIth Congress of International Society for Photogrammetry and Remote Sensing (ISPRS), Beijing, P.R. China, 2008, pp. 485-490.
  20. Q. Yan and Y. Zhong, "A radial basis function neural network based on artificial immune systems for remote sensing image classification," in International Conference on Earth Observation Data Processing and Analysis, ICEODPA, December 28, 2008 - December 30, 2008, Wuhan, China, 2008.
  21. Y. Zhong, L. Zhang, and P. Li, "Multispectral remote sensing image classification based on simulated annealing clonal selection algorithm," in 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005, pp. 3745-3748.
  22. L. Zhang, Y. Zhong, and P. Li, "Applications of Artificial Immune Systems in Remote Sensing Image Classification," in The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences XXth, 2004, pp. 397-401.