Journal and Conference Papers


In Press and Accepted:

  1. Danpei Zhao, Bo Yuan, Yue Gao, Xinhu Qi and Zhenwei Shi. UGCNet: An Unsupervised Semantic Segmentation Network Embedded with Geometry-Consistency for Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters.

  2. Jun Zhang, Jiao Liu, Bin Pan, Zongqing Chen, Xia Xu and Zhenwei Shi. An Open Set Domain Adaptation Algorithm via Exploring Transferability and Discriminability for Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. [pdf] [code]

  3. Wenjing Wang and Zhenwei Shi. An All-scale Feature Fusion Network with Boundary Point Prediction for Cloud Detection. IEEE Geoscience and Remote Sensing Letters. [pdf]

  4. Wenyuan Li, Keyan Chen, Hao Chen and Zhenwei Shi. Geographical Knowledge-Driven Representation Learning for Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. [pdf][code]

  5. Wenyuan Li, Hao Chen, and Zhenwei Shi. Semantic Segmentation of Remote Sensing Images With Self-Supervised Multitask Representation Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. [pdf][code]

  6. Jing Zhang, Rui Zhao, Zhenwei Shi, Ning Zhang and Xinzhong Zhu. Bayesian Constrained Energy Minimization for Hyperspectral Target Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. [pdf]

  7. Liqin Liu, Sen Lei, Zhenwei Shi, Ning Zhang, and Xinzhong Zhu. Hyperspectral Remote Sensing Imagery Reconstruction From RGB Images Based on Joint Discrimination. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. [pdf][code]

  8. Hao Chen, Zipeng Qi, and Zhenwei Shi. Remote Sensing Image Change Detection with Transformers. IEEE Transactions on Geoscience and Remote Sensing. [pdf][code]

  9. Yifan Zao and Zhenwei Shi. Richer U-Net: Learning More Details for Road Detection in Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. [pdf]

  10. Lukui Shi, Linyi Kuang, Xia Xu, Bin Pan, and Zhenwei Shi. CANet: Centerness-Aware Network for Object Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing.[pdf][code]

  11. Danpei Zhao, Chenxu Wang, Yue Gao, Zhenwei Shi and Fengying Xie. Semantic Segmentation of Remote Sensing Image Based on Regional Self-Attention Mechanism. IEEE Geoscience and Remote Sensing Letters.[pdf]

  12. Sen Lei and Zhenwei Shi. Hybrid-Scale Self-Similarity Exploitation for Remote Sensing Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing.[pdf][code]

  13. Rui Zhao,Zhenwei Shi and Zhengxia Zou. Remote Sensing Image Captioning based on Structured Attention. IEEE Transactions on Geoscience and Remote Sensing.[pdf]

  14. Rui Zhao, Zhenwei Shi. Text-to-Remote-Sensing-Image Generation With Structured Generative Adversarial Networks. IEEE Geoscience and Remote Sensing Letters, 2021.[pdf]

  15. Enhai Liu, Yu Zheng, Bin Pan, Xia Xu and Zhenwei Shi. DCL-Net: Augmenting the Capability of Classification and Localization for Remote Sensing Object Detection. IEEE Transactions on Geoscience and Remote Sensing, 2021.[pdf][code]

  16. Hao Chen, Wenyuan Li and Zhenwei Shi. Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 2021, 1-16.[pdf][code]

  17. Lukui Shi, Ziyuan Wang, Bin Pan and Zhenwei Shi. An End-to-End Network for Remote Sensing Imagery Semantic Segmentation via Joint Pixel and Representation Level Domain Adaptation. IEEE Geoscience and Remote Sensing Letters.[pdf][code]

  18. Xi Wu, and Zhenwei Shi. Scene Aggregation Network for Cloud Detection on Sensing Imagery. IEEE Geoscience and Remote Sensing Letters, 2020.[pdf]

  19. Tianyang Shi, Zhengxia Zou, Zhenwei Shi, and Yi Yuan. Neural Rendering for Game Character Auto-creation. IEEE Transactions on Pattern Analysis and Machine Intelligence.[pdf]

Published:

    2021:

  1. Danpei Zhao, Chunbo Zhu, Jing Qi, Xinhu Qi, Zhenhua Su and Zhenwei Shi. Synergistic Attention for Ship Instance Segmentation in SAR Images. Remote Sensing, 13(21), 2021,4384-1—43842-19; 10.3390/rs13214384. [pdf]

  2. Keyan Chen, Zhengxia Zou and Zhenwei Shi. Building Extraction from Remote Sensing Images with Sparse Token Transformers. Remote Sensing, 13(21), 2021,4441-1—4441-22; https://doi.org/10.3390/rs13214441. [pdf] [code]

  3. Xiaofeng Ma, Rui Zhao and Zhenwei Shi. Multi-Scale Methods for Optical Remote Sensing Image Captioning. IEEE Geoscience and Remote Sensing Letters, Volume 18, Issue 11, November 2021, pp. 2001-2005.[pdf]

  4. Xia Xu, Bin Pan, Zongqing Chen, Zhenwei Shi and Tao Li. Simultaneously Multiobjective Sparse Unmixing and Library Pruning for Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing, Volume 59, Issue 4, April 2021, pp. 3383-3395.[pdf]

  5. Zhengxia Zou, Tianyang Shi, Zhenwei Shi and Jieping Ye. Adversarial Training for Solving Inverse Problems. IEEE Transactions on Image Processing, Volume 30, 2021, pp. 2513-2525.[pdf]

  6. Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, and Zhenwei Shi. Stylized Neural Painting. IEEE Conference on Computer Vision and Pattern Recognition 2021. [pdf]

  7. Xi Wu, Zhenwei Shi and Zhengxia Zou. A Geographic Information-driven Method and A New Large Scale Dataset for Remote Sensing Cloud/Snow Detection. ISPRS Journal of Photogrammetry and Remote Sensing, Volume 174, April 2021, pp. 87-104.[pdf]

    2020:

  8. Zhengxia Zou, Sen Lei, Tianyang Shi, Zhenwei Shi, Jieping Ye. Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images. IEEE Conference on Computer Vision and Pattern Recognition 2020. [pdf]

  9. Wenyuan Li, Zhengxia Zou, and Zhenwei Shi. Deep Matting for Cloud Detection in Remote Sensing Image. IEEE Transactions on Geoscience and Remote Sensing, Volume 58, Issue 12, December 2020, pp. 8490-8502. [pdf]

  10. Hao chen, and Zhenwei Shi. A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection. Remote Sens. 2020, 12, 1662. [pdf] [code] [dataset]

  11. Jun Zhang, Jiao Liu, Bin Pan and Zhenwei Shi. Domain Adaptation Based on Correlation Subspace Dynamic Distribution Alignment for Remote Sensing Image Scene Classification. IEEE Transactions on Geoscience and Remote Sensing. 2020[pdf]

  12. Min Zhou, Zhengxia Zou, Zhenwei Shi, Wen-Jun Zeng and Jie Gui. Local Attention Networks for Occluded Airplane Detection in Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, Volume 17, Issue 3, March 2020, pp. 381-385 [pdf]

  13. Zhengxia Zou, Tianyang Shi, Wenyuan Li, Zhou Zhang and Zhenwei Shi. Do Game Data Generalize Well for Remote Sensing Image Segmentation? Remote Sensing, 2020, 12(2), 275-1—275-19; https://doi.org/10.3390/rs12020275.[pdf]

  14. Bin Pan, Xia Xu, Zhenwei Shi, Ning Zhang, Huanlin Luo and Xianchao Lan. DSSNet: A Simple Dilated Semantic Segmentation Network for Hyperspectral Imagery Classification. IEEE Geoscience and Remote Sensing Letters, 2020. doi: 10.1109/LGRS.2019.2960528.[pdf]

  15. Jun Zhang, Min Zhang, Bin Pan and Zhenwei Shi. Semi-Supervised Center Loss for Remote Sensing Image Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020.[pdf] [code]

  16. Liqin Liu, Zhenwei Shi, Bin Pan, Ning Zhang, Huanlin Luo, and Xianchao Lan. Multiscale Deep Spatial Feature Extraction Using Virtual RGB Image for Hyperspectral Imagery Classification. Remote Sensing. 12. 280 .[pdf] [code]

    2019:

  17. Sen Lei, Zhenwei Shi and Zhengxia Zou. Coupled Adversarial Training for Remote Sensing Image Super-resolution. IEEE Transactions on Geoscience and Remote Sensing, 2019, 58(5): 3633-3643. [pdf]

  18. Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi and Yong Liu. Face-to-Parameter Translation for Game Character Auto-Creation. IEEE International Conference on Computer Vision(ICCV). 2019: 161-170. [pdf]

  19. Zhengxia Zou, Wenyuan Li, Zhenwei Shi, Tianyang Shi, and Jieping Ye. Generative Adversarial Training for Weakly Supervised Cloud Matting. IEEE International Conference on Computer Vision(ICCV). 2019: 201-210. [pdf] [code]

  20. Sen Lei,Zhenwei Shi,Xi Wu,Bin Pan, Xia Xu and Hongxun Hao. SIMULTANEOUS SUPER-RESOLUTION AND SEGMENTATION FOR TYPICAL REMOTE SENSING TARGETS. International Geoscience and Remote Sensing Symposium (IGARSS2019). [pdf]

  21. Xia Xu,Zhenwei Shi,Bin Pan and Xuelong Li. A Classification-based Model for Multi-Objective Hyperspectral Sparse Unmixing. IEEE Transactions on Geoscience and Remote Sensing, Volume 57, Issue 12, December 2019, pp. 9612-9625. [pdf]

  22. Rui Zhao,Zhenwei Shi,Zhengxia Zou and Zhou Zhang. Ensemble-based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection. Remote Sensing, 2019, 11(11), 1310-1—1310-20; [pdf] [code]

  23. Bin Pan, Zhenwei Shi and Xia Xu. Analysis for the Weakly Pareto Optimum in Multi-Objective based Hyperspectral Band Selection. IEEE Transactions on Geoscience and Remote Sensing, Volume 57, Issue 6, June 2019, pp. 3729-3740.[pdf]

  24. Ziming Liu, Danpei Zhao, Zhenwei Shi and Zhiguo Jiang. Unsupervised Saliency Model with Color Markov Chain for Oil-Tank Detection. Remote Sensing, 2019, 11(9), 1089-1—1089-15.[pdf]

  25. Bin Pan, Zhenwei Shi, Xia Xu, Tianyang Shi, Ning Zhang and Xinzhong Zhu. CoinNet: Copy Initialization Network for Multispectral Imagery Semantic Segmentation. IEEE Geoscience and Remote Sensing Letters, Volume 16, Issue 5, May 2019, pp. 816-820.[pdf] [code]

  26. Bin Pan, Zhenwei Shi and Xia Xu. Multi-objective Based Sparse Representation Classifier for Hyperspectral Imagery Using Limited Samples. IEEE Transactions on Geoscience and Remote Sensing, Volume 57, Issue 1, January 2019, pp. 239-249.[pdf]

  27. Minhao Jing, Danpei Zhao, Min Zhou, Yue Gao, Zhiguo Jiang, and Zhenwei Shi. Unsupervised Oil Tank Detection by Shape-Guide Saliency Model. IEEE Geoscience and Remote Sensing Letters, Volume 16, Issue 3, March 2019, pp. 477-481.

    2018:

  28. Shi T, Xu Q, Zou Z, Shi Z. Automatic Raft Labeling for Remote Sensing Images via Dual-Scale Homogeneous Convolutional Neural Network. Remote Sensing, 2018, 10(7):1130.[pdf]

  29. Zhenwei Shi, Tianyang Shi, Min Zhou, and Xia Xu. Collaborative Sparse Hyperspectral Unmixing Using L0 norm. IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 9, pp. 5495-5508, Sept. 2018.[pdf] [code]

  30. Bin Pan, Liming Wang, Xinran Yu and Zhenwei Shi. Single-Sample Aeroplane Detection in High-Resolution Optimal Remote Sensing Imagery. IGARSS, València, Spain, 2018.[pdf]

  31. Xi Wu and Zhenwei Shi. Utilizing Multilevel Features for Cloud Detection on Satellite Imagery. Remote Sens. 2018, 10(11), 1853.[pdf]

  32. Bin Pan, Zhenwei Shi and Xia Xu. MugNet: Deep Learning for Hyperspectral Image Classification Using Limited Samples. ISPRS Journal of Photogrammetry and Remote Sensing, Volume 145, Part A,2018,Pages 108-119.[pdf]

  33. Bin Pan, Liming Wang, Xia Xu and Zhenwei Shi. Towards Weakly Pareto Optimal: An improved Multi-Objective based Band Selection Method for Hyperspectral Imagery. IGARSS, València, Spain, 2018.[pdf]

  34. Manjun Qin, Fengying Xie, Wei Li, Zhenwei Shi, and Haopeng Zhang.Dehazing for Multispectral Remote Sensing Images Based on a Convolutional Neural Network with the Residual Architecture. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 11, Issue 5, May 2018, pp. 1645-1655. [pdf]

  35. Dan Wang, Zhenwei Shi, Xinrui Cui. Robust Sparse Unmixing for Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(3): 1348-1359. [pdf]

  36. Xia Xu, Liming Wang, Bin Pan and Zhenwei Shi. Robust Sparse Hyperspectral Unmixing Based on Multi-objective Optimization. IGARSS, València, Spain, 2018.[pdf]

  37. Xia Xu, Zhenwei Shi and Bin Pan. A Supervised Abundance Estimation Method for Hyperspectral Unmixing. Remote Sensing Letters, 2018, 9(4): 383-392.[pdf] [code]


  38. Zhengxia Zou and Zhenwei Shi. Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images. IEEE Transactions on Image Processing,2018, 27(3): 1100-1111. [pdf] [LEVIR] - A new remote sensing target detection dataset which is one order of magnitude larger than any other datasets of this field.

  39. Xia Xu, Zhenwei Shi and Bin Pan. ℓ0-based sparse hyperspectral unmixing using spectral information and a multi-objectives formulation. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 141: 46-58. [pdf] [code]

    2017:

  40. Mingyang Li, Ning Zhang, Bin Pan, Shaobiao Xie, Xi Wu and Zhenwei Shi. Hyperspectral Image Classification Based on Spectral-Spatial Cooperative Feature and Deep Forest. The 9th International Conference on Image and Graphics(ICIG). [pdf]

  41. Bin Pan, Zhenwei Shi, Xia Xu and Yi Yang. Hashing based Hierarchical Feature Representation for Hyperspectral Imagery Classification. Remote Sensing, 2017, 9(11), 1094-1-20. [pdf]

  42. Xia Xu, Zhenwei Shi and Bin Pan. A New Unsupervised Hyperspectral Band Selection Method Based on Multi-objective Optimization. IEEE Geoscience and Remote Sensing Letters, Volume: 14, Issue:11, November 2017, pp. 2112-2116. [pdf]

  43. Bin Pan, Zhenwei Shi and Xia Xu. Hierarchical Guidance Filtering Based Ensemble Classification for Hyperspectral Image. IEEE Transactions on Geoscience and Remote Sensing,2017, 55(7): 4177 – 4189. [pdf][code]

  44. Haoning Lin, Zhenwei Shi and Zhengxia Zou, Fully Convolutional Network with Task Partitioning for Inshore Ship Detection in Optical Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, Volume 14, Issue 10, October 2017, pp. 1665-1669. [pdf]

  45. Sen Lei, Zhenwei Shi, and Zhengxia Zou. Super-Resolution for Remote Sensing Images via Local-Global-Combined Network. IEEE Geoscience and Remote Sensing Letters Volume 14, Issue 8, August 2017, pp.1243-1247. [pdf]

  46. Fengying Xie, Mengyun Shi,Zhenwei Shi, Jihao Yin and Danpei Zhao. Multi-level Cloud Detection in Remote Sensing Images Based on Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,Volume 10, Issue 8, August 2017, pp. 3631-3640. . [pdf]

  47. Bin Pan, Zhenwei Shi and Xia Xu. Long-Wave Infrared Hyperspectral Classification via an Ensemble Method. International Journal of Remote Sensing Volume 55, Issue 7, July 2017, pp. 4177-4189. .

  48. Danpei Zhao, Yuanyuan Ma, Zhiguo Jiang and Zhenwei Shi. Multi-Resolution Airport Detection via Hierarchical Reinforcement Learning Saliency Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 10, Issue 6, June 2017, pp. 2855-2866. . [pdf]

  49. Haoning Lin, Zhenwei Shi and Zhengxia Zou, Maritime Semantic Labeling of Optical Remote Sensing Images with Multi-Scale Fully Convolutional Network. Remote Sensing ,2017; 9(5):480. [pdf]

  50. Zhenwei Shi and Zhengxia Zou. Can a Machine Generate Human-like Language Descriptions for a Remote Sensing Image? IEEE Transactions on Geoscience and Remote Sensing, Volume 55, Issue 6, June 2017, pp. 3623-3634. [pdf][code]

  51. Dan Wang, Xinrui Cui, Fengying Xie, Zhiguo Jiang and Zhenwei Shi. Multi-feature Sea-land Segmentation based on Pixel-wise Learning for Optical Remote Sensing Imagery. International Journal of Remote Sensing, Volume 38, Issue 15, May 2017, pp. 4327- 4347. [pdf]

  52. Bin Pan, Zhenwei Shi and Xia Xu. R-VCANet: A New Deep Learning-Based Hyperspectral Image Classification Method. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,Volume 10, Issue 5, May 2017, pp. 1975-1986 . [pdf][code]

  53. Bin Pan, Zhenwei Shi, Zhenyu An, Zhiguo Jiang and Yi Ma. A Novel Spectral-Unmixing-Based Green Algae Area Estimation Method for GOCI Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 10, Issue 2, February 2017, pp.437-449 . [pdf]

  54. Xia Xu and Zhenwei Shi. Multi-objective based Spectral Unmixing for Hyperspectral Images. ISPRS Journal of Photogrammetry and Remote Sensing, Volume 124, Issue, February 2017, pp. 54-69. [pdf]

    2016:

  55. Bin Pan, Zhenwei Shi, Ning Zhang, Shaobiao Xie. Hyperspectral Image Classification Based on Nonlinear Spectral-Spatial Network. IEEE Geoscience and Remote Sensing Letters, Volume 13, Issue 12, December 2016, pp. 1782-1786 [pdf]

  56. Xiaoxi Pan, Fengying Xie, Zhiguo Jiang, Zhenwei Shi and Xiaoyan Luo. No Reference Assessment on Haze for Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters, Volume 13, Issue 12, December 2016, pp. 1855-1859 [pdf]

  57. Zhengxia Zou and Zhenwei Shi. Ship Detection in Spaceborne Optical Image with SVD Networks. IEEE Transactions on Geoscience and Remote Sensing, Volume 54, Issue 10, October 2016, pp.5832-5845. [pdf]

  58. Dan Wang, Zhenwei Shi and Wei Tang. Collaborative Sparse Unmixing Of Hyperspectral Data Using L2,P Norm. International Geoscience and Remote Sensing Symposium (IGARSS2016), pp. 6978-6981, July 10, 2016-July 15, 2016.[pdf]

  59. Qinhan Luo and Zhenwei Shi. Airplane Detection in Remote Sensing Images Based on Object Proposal. International Geoscience and Remote Sensing Symposium (IGARSS2016), pp. 1388-1391, July 10, 2016-July 15, 2016. [pdf]

  60. Shuo Yang and Zhenwei Shi. Hyperspectral Image Target Detection Improvement Based on Total Variation. IEEE Transactions on Image Processing, Volume 25, Issue 5, May 2016, pp. 2249-2258. [pdf]

  61. Zhenwei Shi, Zhengxia Zou and Changshui Zhang. Real Time Traffic Light Detection with Adaptive Background Suppression Filter. IEEE Transactions on Intelligent Transportation Systems,Volume 17, Issue 3, March 2016, pp. 690-700. [pdf][code][video sequence]

  62. Zhengxia Zou and Zhenwei Shi. Hierarchical Suppression Method for Hyperspectral Target Detection. IEEE Transactions on Geoscience and Remote Sensing, Volume 54, Issue 1, Jan. 2016, pp.330-342. [pdf]  [code]

    2015:

  63. Lu Zhang, Zhenwei Shi and Jun Wu.A hierarchical oil tank detector with deep surrounding features for high resolution optical satellite imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,Volume 8, Issue 10, 2015, pp. 4895-4909. [pdf]

  64. Xinran Yu and Zhenwei Shi. Vehicle detection in remote sensing imagery based on salient information and local shape feature. Optik - International Journal for Light and Electron Optics,Volume 126, Issue 20, October 2015, pp. 2485-2490. [pdf]

  65. Zhenyu An and Zhenwei Shi. Scene learning for cloud detection on remote sensing images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,Volume 8, Issue 8, August 2015, pp. 4206-4222. [pdf] [code]

  66. Zhenyu An, Zhenwei Shi, Ying Wu and Changshui Zhang. A novel unsupervised approach to discovering regions of interest in traffic images. Pattern Recognition,Volume 48, Issue 8, August 2015, pp. 2581-2591. [pdf]

  67. Zhenyu An, Zhenwei Shi, Jun Wu and Hongqiang Wang.Panchromatic Image Processing Using Hyperspectral Unmixing Method. International Geoscience and Remote Sensing Symposium 2015, July 26-31, 2015 (IGARSS2015). [pdf]

  68. Zhengxia Zou, Zhenwei Shi, Jun Wu and Hongqiang Wang.Quadratic Constrained Energy Minimization for Hyperspectral Target Detection. International Geoscience and Remote Sensing Symposium 2015, IGARSS, Milan, Italy, July 26-31, 2015 (IGARSS2015). [pdf]

  69. Wei Tang, Zhenwei Shi, Ying Wu and Changshui Zhang. Sparse Unmixing of Hyperspectral Data Using Spectral a Priori Information. IEEE Transactions on Geoscience and Remote Sensing, Volume 53, Issue 2, February 2015, pp. 770-783. [pdf] [supplementary material] [code]

  70. Shuo Yang, Zhenwei Shi and Wei Tang. Robust Hyperspectral Image Target Detection Using An Inequality Constraint. IEEE Transactions on Geoscience and Remote Sensing, Volume 53, Issue 6, 2015, pp. 3389-3404. [pdf]

    2014:

  71. Haoning Lin and Zhenwei Shi. Multi-scale retinex improvement for nighttime image enhancement. Optik - International Journal for Light and Electron Optics, Volume 125, Issue 14, December 2014, pp.7143-7148. [pdf] [code]

  72. Shuo Yang and Zhenwei Shi. SparseCEM and SparseACE for Hyperspectral Image Target Detection. IEEE Geoscience and Remote Sensing Letters. Volume 11, Issue 12, December 2014, pp. 2135-2139. [pdf]

  73. Liu Liu and Zhenwei Shi. Airplane detection based on rotation invariant and sparse coding in remote sensing images. Optik - International Journal for Light and Electron Optics., Volume 125, Issue 18, September 2014, pp.5327-5333. [pdf]

  74. Wei Tang, Zhenwei Shi, and Ying Wu, Regularized simultaneous forward-backward greedy algorithm for sparse unmixing of hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing, Volume 52, Issue 9, September 2014, pp. 5271- 5288
    . [pdf] [code]

  75. Zhenwei Shi, Jiao Long, Wei Tang, Changshui Zhang. Single image dehazing in inhomogeneous atmosphere. Optik - International Journal for Light and Electron Optics. Volume 125, Issue 15, August 2014, pp. 3868-3875. [pdf]

  76. Zhenwei Shi, Xinran Yu, Zhiguo Jiang and Bo Li. Ship Detection in High-Resolution Optical Imagery Based on Anomaly Detector and Local Shape Feature. IEEE Transactions on Geoscience and Remote Sensing, Volume 52, Issue 8, August 2014, pp. 4511-4523. [pdf]

  77. Zhenyu An and Zhenwei Shi. An improved-SFIM fusion method based on the calibration process. Optik - International Journal for Light and Electron Optics. Volume 125, Issue 14, July 2014, pp. 3764-3769. [pdf]

  78. Zhenyu An and Zhenwei Shi. Hyperspectral image fusion by multiplication of spectral constraint and NMF. Optik - International Journal for Light and Electron Optics, Volume 125, Issue 13, July 2014, pp. 3150-3158. [pdf]

  79. Zhongwei Huang, Zhenwei Shi and Yun Zhang. An inner-product based discriminative IRLS algorithm for sparse hyperspectral detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Volume 7, Issue 6, June 2014, pp. 2383-2392. [pdf]

  80. Zhenyu An, Zhenwei Shi, Xichao Teng, Xinran Yu, and Wei Tang. An automated airplane detection system for large panchromatic image with high spatial resolution. Optik - International Journal for Light and Electron Optics,Volume 125, Issue 12, June 2014, pp.2768-2775. [pdf]

  81. Zhenwei Shi, Wei Tang, Zhana Duren, and Zhiguo Jiang. Subspace Matching Pursuit for Sparse Unmixing of Hyperspectral Data.IEEE Transactions on Geoscience and Remote Sensing, Volume 52, Issue 6, June 2014, pp.3256-3274. [pdf] [code]

  82. Quan Chen, Zhenwei Shi, and Zhenyu An. Hyperspectral image fusion based on sparse constraint NMF. Optik - International Journal for Light and Electron Optics, Volume 125, Issue 2, January 2014, pp.832-838. [pdf]

  83. Jiao Long, Zhenwei Shi, Wei Tang, and Changshui Zhang.Single Remote Sensing Image Dehazing. IEEE Geoscience and Remote Sensing Letters, Volume 11, Issue 1, January 2014, pp. 59-63. [pdf]

  84. Wei Tang, Zhenwei Shi, and Durengjan Borjigen. Sparse hyperspectral unmixing using an approximate L0 norm. Optik - International Journal for Light and Electron Optics,Volume 125, Issue 1, January 2014, pp. 31-38. [pdf]

    2013:

  85. Zhongwei Huang, Zhenwei Shi, Zhen Qin. Convex relaxation based sparse algorithm for hyperspectral target detection. Optik - International Journal for Light and Electron Optics, Volume 124, Issue 24, December 2013, pp. 6594-6598. [pdf]

  86. Zhenwei Shi, Liu Liu, Xinya Zhai, and Zhiguo Jiang. Efficient sparse unmixing analysis for hyperspectral imagery based on random projection. Neural Computing and Applications, Volume 23, Issue 7-8, December 2013, pp. 2281-2293.

  87. Zhongwei Huang, Zhenwei Shi and Shuo Yang. Nonlocal Similarity Regularized Sparsity Model for Hyperspectral Target Detection. IEEE Geoscience and Remote Sensing Letters, Volume 10, Issue 6, November 2013, pp. 1532-1536. [pdf]

  88. Zhou Zhang and Zhenwei Shi. Nonnegative matrix factorization-based hyperspectral and panchromatic image fusion. Neural Computing and Applications, Volume 23, Issue 3-4, Sep. 2013, pp. 895-905.

  89. Zhenwei Shi, Shuo Yang, and Zhiguo Jiang. Target detection using difference measured function based matched filter for hyperspectral imagery. Optik - International Journal for Light and Electron Optics, Volume 124, Issue 17, September 2013, pp. 3017-3021.

  90. Zhen Qin, Zhenwei Shi, and Zhiguo Jiang. A quasi-Newton-based spatial multiple materials detector for hyperspectral imagery. Neural Computing and Applications, Volume 23, Issue 2, August 2013, pp. 403-409.

  91. Zhou Zhang, Zhenwei Shi, and Zhenyu An. Hyperspectral and panchromatic image fusion using unmixing-based constrained nonnegative matrix factorization. Optik - International Journal for Light and Electron Optics, Volume 124, Issue 13, July 2013, pp. 1601-1608.

  92. Zhenwei Shi, Shuo Yang, and Zhen Qin. A regularized non-Gaussianity based multiple-target detector for hyperspectral images. Optics & Laser Technology, Volume 47, April 2013, pp. 379-388.

    2012:

  93. Wei Tang, Zhenwei Shi, and Zhenyu An. Non-negative Matrix Factorization for Hyperspectral Unmixing Using Prior Knowledge of Spectral Signatures. Optical Engineering, Volume 51, Issue 8, 087001, August, 2012.[pdf] [code]

  94. Zhenwei Shi, Hongjuan Zhang, and Zhiguo Jiang. Hybrid linear and nonlinear complexity pursuit for blind source separation. Journal of Computational and Applied Mathematics, Volume 236, Issue 14 , August 2012, pp. 3434-3444.

  95. Kun Gai, Zhenwei Shi, and Changshui Zhang. Blind Separation of Superimposed Moved Images Using Image Statistics. IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 34, No.1, January 2012, pp. 19-32.

    2011:

  96. Zhenwei Shi, Zhenyu An, and Zhiguo Jiang. Hyperspectral image fusion by the similarity measure based variational method. Optical Engineering, Volume 50, Issue 7, 077006, July 2011, DOI: 10.1117/1.3600767. [pdf] [code]

  97. Zhenwei Shi, Shuo Yang, and Zhiguo Jiang. Hyperspectral target detection using regularized high-order matched filter. Optical Engineering, Volume 50, Issue 5, 057201 (May 2011) DOI:10.1117/1.3572118.

  98. Zhenwei Shi, Hongjuan Zhang, Xueyan Tan, and Zhiguo Jiang. Blind source separation using quadratic form innovation, Neural Processing Letters, Volume 33, Issue 1, February 2011, pp. 83-97.

  99. Qiongchen Wang, Zhiguo Jiang, Junli Yang, Danpei Zhao, and Zhenwei Shi. A Hierarchical Connection Graph Algorithm for Gable-Roof Detection in Aerial Image. IEEE Geoscience and Remote Sensing Letters, Volume 8, No. 1, January 2011, pp. 177-181.

    2010:

  100. Zhenwei Shi and Shuo Yang. Robust High-order Matched Filter for Hyperspectral Target Detection. Electronics Letters, Volume 46, Issue 15, 22 July 2010, pp. 1065-1066.

  101. Dan Zhang, Fei Wang, Zhenwei Shi, and Changshui Zhang. Interactive localized content based image retrieval with multiple-instance active learning. Pattern Recognition, Volume 43, Issue 2, February 2010, Pages 478-484.

    2009:

  102. Zhenwei Shi and Changshui Zhang.Fast nonlinear autocorrelation algorithm for source separation. Pattern Recognition, Volume 42, Issue 9, September 2009, pp. 1732-1741.

  103. Zhenwei Shi, Zhiguo Jiang, Fugen Zhou, and Jihao Yin.Blind source separation with nonlinear autocorrelation and non-Gaussianity. Journal of Computational and Applied Mathematics, Volume 229, Issue 1, 1 July 2009, pp. 240-247.

  104. Kun Gai, Zhenwei Shi, and Changshui Zhang. Blind separation of superimposed images with unknown motions. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. June 20-June 25, 2009. Miami Beach, Florida, USA (CVPR2009).

  105. Hongjuan Zhang, Zhenwei Shi, and Chonghui Guo. Blind source extraction based on generalized autocorrelations and complexity pursuit, Neurocomputing, Volume 72, Issues 10-12, June 2009, pp. 2556–2562.

  106. Zhenwei Shi, Zhiguo Jiang, and Fugen Zhou, A fixed-point algorithm for blind source separation with nonlinear autocorrelation. Journal of Computational and Applied Mathematics, Volume 223, Issue 2, 15 January 2009, pp. 908-915.

  107. Hongjuan Zhang, Zhenwei Shi, Chonghui Guo, and Enmin Feng. Semi-blind source extraction algorithm for fetal electrocardiogram based on generalized autocorrelations and reference signals. Journal of Computational and Applied Mathematics, Volume 223, Issue 1, 1 January 2009, pp. 409-420.

    2008:

  108. Hongjuan Zhang, Zhenwei Shi, Chonghui Guo, and Enmin Feng. Blind source extraction for noisy mixtures by combining Gaussian moments and generalized autocorrelations. Neural Processing Letters, Volume 28, Number 3, Dec. 2008, pp. 209-225.

  109. Hongjuan Zhang, Chonghui Guo, Zhenwei Shi, and Enmin Feng. A new constrained fixed-point algorithm for ordering independent components. Journal of Computational and Applied Mathematics, Volume 220, Issues 1-2, October 2008, pp. 548-55.

  110. Kun Gai, Zhenwei Shi, and Changshui Zhang. Blindly Separating Mixtures of Multiple Layers with Spatial Shifts. 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, Anchorage, AK, USA, Jun. 23-28, 2008 (CVPR2008).

  111. Zhiyao Duan, Yungang Zhang, Changshui Zhang, and Zhenwei Shi. Unsupervised single-channel music source separation by average harmonic structure modeling. IEEE Transactions on Audio, Speech and Language Processing, Volume 16, Issue 4, May 2008 pp. 766-778.

  112. Zhenwei Shi, Dan Zhang, and Changshui Zhang. MACBSE: Extracting signals with linear autocorrelations. Neurocomputing, Volume 71, Issues 4-6, January 2008, pp. 1082–1091.

    2007:

  113. Zhenwei Shi and Changshui Zhang. Nonlinear innovation to blind source separation. Neurocomputing, Volume 71, Issues 1-3, December 2007, pp. 406–410.

  114. Zhenwei Shi and Changshui Zhang. Blind Source Extraction Using Generalized Autocorrelations. IEEE Transactions on Neural Networks, Vol. 18, No. 5, September 2007, pp.1516-1524.

  115. Zhenwei Shi and Changshui Zhang. Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation. Neurocomputing, Volume 70, Issues 7-9, March 2007, pp. 1574–1581.

    2006:

  116. Zhenwei Shi and Changshui Zhang. Energy Predictability to Blind Source Separation. Electronics Letters, Volume 42, Issue 17, August 2006, pp. 1006-1008.

  117. Zhenwei Shi and Changshui Zhang. Gaussian moments for noisy complexity pursuit. Neurocomputing, Volume 69, Issues 7-9, March 2006, pp. 917-921.

    2005:

  118. Zhenwei Shi, Huanwen Tang, and Yiyuan Tang. Blind source separation of more sources than mixtures using sparse mixture models. Pattern Recognition Letters, Volume 26, Issue 16, December 2005, pp. 2491-2499.

  119. Zhenwei Shi, Huanwen Tang, and Yiyuan Tang. A fast fixed-point algorithm for complexity pursuit. Neurocomputing, Vol. 64, March 2005, pp. 529-536.

    2004:

  120. Zhenwei Shi, Huanwen Tang, Wenyu Liu, and Yiyuan Tang. Blind source separation of more sources than mixtures using generalized exponential mixture models. Neurocomputing, Vol. 61, October 2004, pp. 461-469.

  121. Zhenwei Shi, Huanwen Tang, and Yiyuan Tang. A new fixed-point algorithm for independent component analysis. Neurocomputing, Vol. 56, January 2004, pp. 467-473.

    2003:

  122. Zhi-an Liang and Zhen-wei Shi. Optimality conditions and duality for a minimax fractional programming with generalized convexity. Journal of Mathematical Analysis and Applications, Volume 277, Issue 2, 15 January 2003, pp. 474-488.

 

 

 

 

 

 
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