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国际期刊论文

 

 
· Y. Zhong, Y. Xu, X. Wanga, T. Jia, G. Xia, A. Ma, L. Zhang, "Pipeline leakage detection for district heating systems using multisource data in mid- and high-latitude regions," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 151, pp. 207-222, May 2019.
· L. Wei, M. Yu, Y. Zhong, J. Zhao, Y. Liang,X. Hu, "Spatial-Spectral Fusion Based on Conditional Random Fields for the Fine Classification of Crops in UAV-Borne Hyperspectral Remote Sensing Imagery," Remote Sensing , vol. 11, no. 7, pp. 780 , April 2019.
· L. Wei, Z. Yuan, Y. Zhong, L. Yang, X. Hu,Y. Zhang, "An Improved Gradient Boosting Regression Tree Estimation Model for Soil Heavy Metal (Arsenic) Pollution Monitoring Using Hyperspectral Remote Sensing," Applied Sciences, May 2019.
· X. Tan, L. Di, Y. Zhong, N. Chen, F. Huang, J. Wang, Z. Sun, Y. Khan, "Distributed Geoscience Model Integration Based on OWS Specifications: A Case Study on the Extraction of a River Network," ISPRS International Journal of Geo-Information , vol. 8, no. 1, pp. 12 , December 2018.
· X. Hu, Y. Zhong, C. Luo, L. Wei, "Fine Classification of Typical Farms in Southern China Based on Airborne Hyperspectral Remote Sensing Images," 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), August 2018.
· S. Cui, Y. Zhong, "Multi-Modal Remote Sensing Image Registration Based on Multi-Scale Phase Congruency," 2018 10th IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), August 2018.
· Y. Liu, Y. Zhong, and Q. Qin, "Scene Classification based on Multiscale Convolutional Neural Network," IEEE Transactions on Geoscience and Remote Sensing , vol. 56, no. 12, pp. 7109-7121, December 2018.
· Y. Zhong, X. Wang, Y. Xu, S. Wang, T. Jia, X. Hu, J. Zhao, L. Wei, and L. Zhang, "MINI-UAV borne hyperspectral remote sensing: From Observation and Processing to Applications," IEEE Geoscience and Remote Sensing Magazine, vol. 6, no. 4, pp. 46-62, December 2018.
· Q. Zhu, Y. Zhong, L. Zhang, and D. Li, "Adaptive Deep Sparse Semantic Modeling Framework for High Spatial Resolution Image Scene Classification," IEEE Transactions on Geoscience and Remote Sensing , vol. 56, no. 10, pp. 6180-6195, October 2018.
· M. Song, Y. Zhong, and A. Ma, "Change Detection Based on Multi-Feature Clustering Using Differential Evolution for Landsat Imagery," Remote Sensing , vol. 10, no. 10, pp. 1664 , October 2018.
· R. Feng, L. Wang, and Y. Zhong, "Least Angle Regression-Based Constrained Sparse Unmixing of Hyperspectral Remote Sensing Imagery," Remote Sensing , vol. 10, no. 10, pp. 1546 , September 2018.
· R. Xu, Y. Tao, Z. Lu, Y. Zhong, "Attention-Mechanism-Containing Neural Networks for High-Resolution Remote Sensing Image Classification," Remote Sensing , vol. 10, no. 10, pp. 1602 , October 2018.
· X., X. Tong, A. Plaza, J. Li, Y. Zhong, H. Xie, L. Zhang, "A New Spectral-Spatial Sub-Pixel Mapping Model for Remotely Sensed Hyperspectral Imagery," IEEE Transactions on Geoscience and Remote Sensing , vol. 56, no. 11, pp. 6763-6778, November 2018.
· P. Lv, Y. Zhong, and L. Zhang, "Unsupervised Change Detection Based on Hybrid Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery," IEEE Transactions on Geoscience and Remote Sensing , vol. 56, no. 7, pp. 4002-4015, July 2018.
· X. Wang, Y. Zhong, Y. Xu, L. Zhang, and Y. Xu, "Saliency-Based Endmember Detection for Hyperspectral Imagery," IEEE Transactions on Geoscience and Remote Sensing , vol. 56, no. 7, pp. 3667-3680 , July 2018.
· Y. Tao, M. Xu, Z. Lu, Y. Zhong, "DenseNet-Based Depth-Width Double Reinforced Deep Learning Neural Network for High-Resolution Remote Sensing Image Per-Pixel Classification," Remote Sensing , vol. 10, no. 5, pp. 779 , May 2018.
· Y. Liu, Y. Zhong, F. Fei, Q. Zhu, and Q. Qin, "Scene Classification Based on a Deep Random-Scale Stretched Convolutional Neural Network," Remote Sensing , vol. 10, no. 3, pp. 444 , May 2018.
· Q. Zhu, Y. Zhong, L. Zhang, and D. Li, "Scene Classification Based on the Sparse Homogeneous-Heterogeneous Topic Feature Model," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 5, pp. 2689-2703, May 2018.
· Q. Zhu, Y. Zhong, Y. Liu, L. Zhang, and D. Li, "A Deep-Local-Global Feature Fusion Framework for High Spatial Resolution Imagery Scene Classification," Remote Sensing, vol.10, no. 4, pp. 568, April 2018.
· Y. Zhong, X. Han, and L. Zhang, "Multi-class geospatial object detection based on position-sensitive balancing framework for high spatial resolution remote sensing imagery," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 138, pp. 281-294, April 2018.
· Y. Zhong, A. Ma, Y. S. Ong, Z. Zhu, and L. Zhang, "Computational intelligence in optical remote sensing image processing," Applied Soft Computing, vol. 64, pp. 75–93, March 2018.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· A. Ma, Y. Zhong, and L. Zhang, "Multi-Objective Subpixel Land-Cover Mapping," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 1, pp. 422-435, Jan. 2018.
· 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.
· 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.
· 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.
· 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.
· 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.
· Y. Zhong, Z. Zhu, and Y. S. Ong, "Soft computing in remote sensing image processing," Soft computing, vol. 20, pp. 4629-4630, 2016.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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.
· 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 Sensingvol. 53, no. 3, pp. 1411-1426, Mar. 2015.
· 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 Lettersvol. 12, no. 3, pp. 537-541, Mar. 2015.
· 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.
· 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.
· R. Feng, Y. Zhong, and L. Zhang, "An Improved Nonlocal Sparse Unmixing Algorithm for Hyperspectral Imagery,"IEEE Geoscience and Remote Sensing Lettersvol. 12, no. 4, pp. 915-919, Apr. 2015.
· 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.
· 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 Sensingvol. 52, no. 11, pp. 7023-7037, Nov. 2014.
· Y. Zhong, B. Zhao, and L. Zhang, "Multiagent object-based classifier for high spatial resolution imagery," IEEE Transactions on Geoscience and Remote Sensingvol. 52, no. 2, pp. 841-857, Feb. 2014.
· 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 Sensingvol. 96, pp. 134-148, Oct. 2014.
· 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 Sensingvol. 7, no. 4, pp. 1235-1248, Apr. 2014.
· 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 Sensingvol. 7, no. 4, pp. 1314 - 1330, Apr. 2014.
· 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 Sensingvol. 7, no. 6, pp. 1889-1909, Jun. 2014.
· 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 Sensingvol. 52, no. 2, pp. 787-804, Feb. 2014.
· X. Xu, Y. Zhong, and L. Zhang, "A sub-pixel mapping method based on an attraction model for multiple shifted remotely sensed images," Neurocomputingvol. 134, pp. 79-91, 2014.
· 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 Sensingvol. 52, no. 8, pp. 4524-4538, Aug. 2014.
· R. Feng, Y. Zhong, and L. Zhang, "Adaptive Non-Local Euclidean Medians Sparse Unmixing for Hyperspectral Imagery,"  ISPRS Journal of Photogrammetry and Remote Sensingvol. 97, pp. 9-24, Nov. 2014.
· 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 Sensingvol. 6, no. 5, pp. 2290-2301, Oct. 2013.
· Y. Zhong and L. Zhang, "Sub-pixel mapping based on artificial immune systems for remote sensing imagery," Pattern Recognitionvol. 46, no. 11, pp. 2902-2926, 2013.
· 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 Lettersvol. 4, no. 12, pp. 1204-1213, Dec. 2013.
· 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 Sensingvol. 6, no. 2, pp. 580-593, April 2013.
· Y. Zhong and L. Zhang, "Remote sensing image subpixel mapping based on adaptive differential evolution," IEEE Transactions on Systems, Man, and Cybernetics Part Bvol. 42, no. 5, pp. 1306-1329, Oct. 2012.
· 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 Sensingvol. 50, no. 3, pp. 894-909, Mar. 2012.
· 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 Sensingvol. 50, no. 10, pp. 4085-4104, Oct. 2012.
· Y. Zhong, L. Zhang, and W. Gong, "Unsupervised remote sensing image classification using an artificial immune network,"  International Journal of Remote Sensingvol. 32, no. 19, pp. 5461-5483, 2011.
· Y. Zhong and L. Zhang, "A new fuzzy clustering algorithm based on clonal selection for land cover classification," Mathematical Problems in Engineeringvol. 2011, Article ID 708459, pp. 1-21, doi:10.1155/2011/708459, 2011.
· L. Zhang, B. Du, and Y. Zhong, "Hybrid detectors based on selective endmembers," IEEE Transactions on Geoscience and Remote Sensingvol. 48, no. 6, pp. 2633-2646, Jun. 2010.
· 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," Neurocomputingvol. 71, no. 10-12, pp. 2046-2054, Jun. 2008.
· Y. Zhong, L. Zhang, J. Gong, and P. Li, "A supervised artificial immune classifier for remote-sensing imagery," IEEE Transactions on Geoscience and Remote Sensingvol. 45, no. 12, pp. 3957-3966, Dec. 2007.
· 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 Sensingvol. 28, no. 7, pp. 1665-1686, Apr. 2007.
· 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 Sensingvol. 45, no. 12, pp. 4172-4186, Dec. 2007.
· 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 Sensingvol. 44, no. 2, pp. 420-431, Feb. 2006.
 
 
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