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| 1 | Q. Zhu, Y. Zhong, L. Zhang, and D. Li, "Scene Classification Based on Fully Sparse Semantic Topic Model," IEEE Transactions on Geoscience and Remote Sensing, vol. 55, DOI:10.1109/TGRS.2017.2709802 2017. |
| 2 | Y. Zhong, T. Jia, J. Zhao, X. Wang, and S. Jin, "Spatial-Spectral-Emissivity Land-Cover Classification Fusing Visible and Thermal Infrared Hyperspectral Imagery," Remote Sensing, accepted 2017. |
| 3 | Y. Zhong, F. Fei, Y. Liu, B. Zhao, H. Jiao, and L. Zhang, "SatCNN: satellite image dataset classification using agile convolutional neural networks," Remote Sensing Letters, vol. 8, pp. 136-145, 2017. |
| 4 | Y. Zhong, Q. Cao, J. Zhao, A. Ma, B. Zhao, and L. Zhang, "Optimal Decision Fusion for Urban Land-Use/Land-Cover Classification Based on Adaptive Differential Evolution Using Hyperspectral and LiDAR Data," Remote Sensing, vol. 9, p. 868, 2017. |
| 5 | B. Zhao, B. Huang, and Y. Zhong, "Transfer Learning with Fully Pretrained Deep Convolution Networks for Land-use Classification," IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2017.2691013 2017. |
| 6 | X. Xu, X. Tong, A. Plaza, Y. Zhong, H. Xie, and L. Zhang, "Joint Sparse Sub-Pixel Mapping Model with Endmember Variability for Remotely Sensed Imagery," Remote Sensing, vol. 9, p. 15, 2017. |
| 7 | X. Xu, X. Tong, A. Plaza, Y. Zhong, H. Xie, and L. Zhang, "Using Linear Spectral Unmixing for Subpixel Mapping of Hyperspectral Imagery: A Quantitative Assessment," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, pp. 1589-1600, Oct. 2017. |
| 8 | G. Xia, J. Hu, F. Hu, B. Shi, X. Bai, Y. Zhong, and L. Zhang, "AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 3965-3981, Jul. 2017. |
| 9 | K. Wu, Y. Zhong, X. Wang, and W. Sun, "A Novel Approach to Subpixel Land-Cover Change Detection Based on a Supervised Back-Propagation Neural Network for Remotely Sensed Images With Different Resolutions," IEEE Geoscience and Remote Sensing Letters, Accepted 2017. |
| 10 | X. Wang, Y. Zhong, L. Zhang, and Y. Xu, "Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing," IEEE Transactions on Geoscience and Remote Sensing, DOI:10.1109/TGRS.2017.2724944 2017. |
| 11 | A. Ma, Y. Zhong, and L. Zhang, "Multi-Objective Subpixel Land-Cover Mapping," IEEE Transactions on Geoscience and Remote Sensing, Accepted 2017. |
| 12 | X. Han, Y. Zhong, and L. Zhang, "An Efficient and Robust Integrated Geospatial Object Detection Framework for High Spatial Resolution Remote Sensing Imagery," Remote Sensing, vol. 9, p. 666, doi:10.3390/rs9070666 2017. |
| 13 | X. Han, Y. Zhong, and L. Zhang, "Spatial-Spectral Unsupervised Convolutional Sparse Auto-Encoder Classifier for Hyperspectral Imagery," Photogrammetric Engineering & Remote Sensing, vol. 83, pp. 195-206, Mar. 2017. |
| 14 | X. Han, Y. Zhong, Y. Liu, and L. Zhang, "Scene Classification based on Hierarchical Convolutional Sparse Auto-encoder for High Spatial Resolution Remote Sensing Imagery," International Journal of Remote Sensing, vol. 38, pp. 514-536, 2017. |
| 15 | X. Han, Y. Zhong, L. Cao, and L. Zhang, "Pre-trained AlexNet Architecture with Pyramid Pooling and Supervision for High Spatial Resolution Remote Sensing Images Scene Classification," Remote Sensing, Accepted 2017. |
| 16 | Q. Zhu, Y. Zhong, B. Zhao, G.-S. Xia, and L. Zhang, "Bag-of-Visual-Words Scene Classifier with Local and Global Features for High Spatial Resolution Remote Sensing Imagery," IEEE Geoscience and Remote Sensing Letters, vol. 13, pp. 747-751, Jun. 2016. |
| 17 | Y. Zhong, Z. Zhu, and Y. S. Ong, "Soft computing in remote sensing image processing," Soft computing, vol. 20, pp. 4629-4630, 2016. |
| 18 | Y. Zhong, X. Wang, L. Zhao, R. Feng, L. Zhang, and Y. Xu, "Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 119, pp. 49-63, Sep. 2016. |
| 19 | Y. Zhong, R. Gao, and L. Zhang, "Multi-Scale and Multi-Feature Normalized Cuts Segmentation for High Spatial Resolution Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 6061-6075, 2016. |
| 20 | Y. Zhong, F. Fei, and L. Zhang, "Large patch convolutional neural networks for the scene classification of high spatial resolution imagery," Journal of Applied Remote Sensing, vol. 10, p. 025006, 2016. |
| 21 | J. Zhao, Y. Zhong, H. Shu, and L. Zhang, "High-Resolution Image Classification Integrating Spectral-Spatial-Location Cues by Conditional Random Fields," IEEE Transactions on Image Processing, vol. 25, pp. 4033-4045, 2016. |
| 22 | B. Zhao, Y. Zhong, L. Zhang, and B. Huang, "The Fisher Kernel Coding Framework for High Spatial Resolution Scene Classification," Remote Sensing, vol. 8, p. 157, doi:10.3390/rs8020157 2016. |
| 23 | B. Zhao, Y. Zhong, and L. Zhang, "A spectral–structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 116, pp. 73-85, 2016. |
| 24 | B. Zhao, Y. Zhong, G.-s. Xia, and L. Zhang, "Dirichlet-Derived Multiple Topic Scene Classification Model Fusing Heterogeneous Features for High Spatial Resolution Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 2108-2123, Apr. 2016. |
| 25 | B. Zhao, Y. Zhong, A. Ma, and L. Zhang, "A Spatial Gaussian Mixture Model for Optical Remote Sensing Image Clustering," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, pp. 5748-5759, 2016. |
| 26 | K. Wu, D. Zhao, Y. Zhong, and Q. Du, "Multi-probe based Artificial DNA Encoding and Matching Classifier for Hyperspectral Remote Sensing Imagery," Remote Sensing, vol. 8, p. 645, 2016. |
| 27 | A. Ma, Y. Zhong, B. Zhao, H. Jiao, and L. Zhang, "Semi-Supervised Subspace-Based DNA Encoding and Matching Classifier for Hyperspectral Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 4402-4417, Aug. 2016. |
| 28 | A. Ma, Y. Zhong, and L. Zhang, "Spectral-Spatial Clustering with a Local Weight Parameter Determination Method for Remote Sensing Imagery," Remote Sensing, vol. 8, p. 124, doi:10.3390/rs8020124 2016. |
| 29 | P. Lv, Y. Zhong, J. Zhao, H. Jiao, and L. Zhang, "Change Detection Based on Multi-Feature Probabilistic Ensemble Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery," IEEE Geoscience and Remote Sensing Letters, vol. 13, pp. 1965-1969, 2016. |
| 30 | F. Hu, G.-S. Xia, J. Hu, Y. Zhong, and K. Xu, "Fast Binary Coding for the Scene Classification of High-Resolution Remote Sensing Imagery," Remote Sensing, vol. 8, p. 555, 2016. |
| 31 | D. He, Y. Zhong, R. Feng, and L. Zhang, "Spatial-Temporal Sub-Pixel Mapping Based on Swarm Intelligence Theory," Remote Sensing, vol. 8, p. 894, 2016. |
| 32 | R. Feng, Y. Zhong, and L. Zhang, "Adaptive Spatial Regularization Sparse Unmixing Strategy Based on Joint MAP for Hyperspectral Remote Sensing Imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, pp. 5791-5805, 2016. |
| 33 | R. Feng, Y. Zhong, X. Xu, and L. Zhang, "Adaptive Sparse Subpixel Mapping With a Total Variation Model for Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 2855-2872, 2016. |
| 34 | R. Feng, Y. Zhong, Y. Wu, X. Xu, D. He, and L. Zhang, "Nonlocal Total Variation Subpixel Mapping for Hyperspectral Remote Sensing Imagery," Remote Sensing, vol. 8, p. 250, 2016. |
| 35 | Y. Zhong, Q. Zhu, and L. Zhang, "Scene Classification Based on the MultiFeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 53, pp. 6207-6222, Nov. 2015. |
| 36 | Y. Zhong, M. Cui, Q. Zhu, and L. Zhang, "Scene Classification Based on Multi-Feature PLSA for High Spatial Resolution Remote Sensing Imagery," Journal of Applied Remote Sensing, vol. 9, pp. 095064-1-095064-14, 2015. |
| 37 | J. Zhao, Y. Zhong, Y. Wu, L. Zhang, and H. Shu, "Sub-pixel mapping based on conditional random fields for hyperspectral remote sensing imagery," IEEE Journal of Selected Topics in Signal Processing, vol. 9, pp. 1049-1060, Sep. 2015. |
| 38 | 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. |
| 39 | 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. |
| 40 | 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. |
| 41 | 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. |
| 42 | 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. |
| 43 | 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. |
| 44 | 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. |
| 45 | 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. |
| 46 | 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. |
| 47 | 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. |
| 48 | 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. |
| 49 | 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. |
| 50 | 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. |
| 51 | 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. |
| 52 | 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. |
| 53 | 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. |
| 54 | 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. |
| 55 | 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. |
| 56 | 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. |
| 57 | 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. |
| 58 | 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. |
| 59 | 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. |
| 60 | 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. |
| 61 | 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. |
| 62 | 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. |
| 63 | 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. |
| 64 | 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. |
| 65 | 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. |
| 66 | 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. |
| 67 | 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. |
| 68 | 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. |
| 69 | 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. |
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