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研究成果

发表论文

发表的部分科研论文(按年排序)

当年发表论文
1. Tianrui Zhang, Zhaobin Wang, Yaonan Zhang, Xuejun Guo. CTCNet: A CNN-Transformer Dual Branch Network for Sand Dune Image Segmentation . IEEE Transactions on Geoscience and Remote Sensing, 2025, doi: 10.1109/TGRS.2025.3562909.
2. Wang Zhaobin, Yan Li; Yue Shi; Yaonan Zhang; Xuejun Guo. Dunes identification based on attention mechanism with Dual-branch codec . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, doi: 10.1109/JSTARS.2025.3557540.
往年发表论文
2024年论文
1. Wang Zhaobin, Liu Ke, Li Jan, Zhu Ying, Zhang Yaonan. Various Frameworks and Libraries of Machine Learning and Deep Learning: A Survey . Archives of Computational Methods in Engineering. 2024, 31(1):1-24.
2. Wang Zhaobin, Liu Xinchao, Wang E, Zhang Yaonan. Unsupervised image segmentation evaluation based on feature extraction . Multimedia Tools and Applications. 2024, 83(2): 4887-4913.
3. Wang Zhaobin, Li Yan, Cheng Zhongxin, Zhang Yaonan. CNN and Transformer Hybrid Network for Hyperspectral Image Classification. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 9091-9095, doi: 10.1109/IGARSS53475.2024.10642910.
4. Wang Zhaobin, Lv Yongke, Zhang Yaonan. ASC-TRANS: A Hybrid Transformer Network Based on Adaptive Semantic Connection For Desert Boundary Segmentation. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 8232-8236, doi: 10.1109/IGARSS53475.2024.10642585.
2023年论文
1. Wang Zhaobin, Ma Yikun, Zhang Yaonan. Review of pixel-level remote sensing image fusion based on deep learning. Information Fusion. 2023, 90(2): 36-58.
2. Wang Zhaobin, Cui Jing, Zhu Ying. Review of plant leaf recognition . Artificial Intelligence Review. 2023,56(5): 217–4253.
3. Wang Zhaobin, Lv Yongke, Wu Runliang, Zhang Yaonan. Review of GrabCut in Image Processing . Mathematics. 2023, 11(8):1965.
4. 王兆滨, 徐敏哲. 双通道量子脉冲耦合神经网络. 电子科技大学学报. 2023, 52(3):331-340.
5. Wang Zhaobin, Shi Yue and Zhang Yaonan. Review of Desert Mobility Assessment and Desertification Monitoring Based on Remote Sensing. Remote Sensing. 2023, 15(18), 4412.
2022年论文
1. Wang Zhaobin, Xu Minzhe, Zhang Yaonan. Review of quantum image processing . Archives of Computational Methods in Engineering. 2022, 29(2):737-761.
2. Wang Zhaobin, Gao Xiong, Yang Jing, Yan Qizhen, Zhang Yaonan. Local feature fusion and SRC-based decision fusion for ear recognition . Multimedia Systems. 2022, 28(3):1117–1134.
3. 王兆滨, 马一鲲, 崔子婧. 基于引导滤波与稀疏表示的医学图像融合 . 电子科技大学学报. 2022, 51(2):264–273.
4. Wang Zhaobin, Xu Minzhe, Zhang Yaonan. Quantum pulse coupled neural network . Neural Networks. 2022, 152:105–117.
5. Wang Zhaobin, Ma Yikun, Zhang Yaonan, Shang Jiali. Review of Remote Sensing Applications in Grassland Monitoring. Remote Sensing. 2022, 14(12), 2093.
6. Wang Zhaobin, Gao Xiong , Wu Runliang , Kang Jianfang , Zhang Yaonan. Fully automatic image segmentation based on FCN and graph cuts . Multimedia Systems. 2022, 28(5): 1753-1765.
7. Wang Zhaobin, Ma Yikun, Zhang Yaonan. Hybrid cGAN: Coupling Global and Local Features for SAR-to-Optical Image Translation . IEEE Transactions on Geoscience and Remote Sensing. 2022,60:1-16 Art no. 5236016,DOI: 10.1109/TGRS.2022.3212208.
2021年论文
1. Wang Zhaobin, Yang Jing, Zhu Ying. Review of Ear Biometrics . Archives of Computational Methods in Engineering. 2021, 28(1):149-180.
2. Wang Zhaobin, Ma Baozhen, Zhu Ying. Review of Level Set in Image Segmentation . Archives of Computational Methods in Engineering. 2021, 28(4): 2429–2446.
3. Wang Zhaobin, Gao Xiong, Zhang Yaonan. HA-Net: A Lake Water Body Extraction Network Based on Hybrid-scale Attention and Transfer Learning. Remote Sensing. 2021, 13(20), 4121.
4. Wang Zhaobin, Wang Ziye, Cui Zijing, Chen Lina, Zhang Yaonan. Multi-focus Image Fusion Based on Random Walk . Journal of Electrical Engineering & Technology. 2021, 16(6):3261-3274.
5. 王兆滨, 高雄, 康建芳, 艾鸣浩. 2020年青藏高原湖泊语义分割数据集. 中国科学数据. 2021, 6(4) (2021–12–13). DOI: 10.11922/11-6035.ncdc.2021.0005.zh.
2020年论文
1. Wang Zhaobin, Yang Zekun. Review on image-stitching techniques . Multimedia Systems. 2020, 26(4):413-430.
2. Wang Zhaobin, Cui Zijing, Zhu Ying. Multi-modal medical image fusion by Laplacian pyramid and adaptive sparse representation. Computers in Biology and Medicine. 2020, 123:103823.
3. Wang Zhaobin, Cui Jing, Zhu Ying. Plant recognition based on Jaccard distance and BOW. Multimedia Systems. 2020, 26(5):495-508.
4. Wang Zhaobin, Wang E, Zhu Ying. Image segmentation evaluation: a survey of methods. Artificial Intelligence Review. 2020, 53(8):5637-5674.
5. Wang Zhaobin, Gao Xiong, Zhang Yaonan, Zhao Guohui. MSLWENet: A Novel Deep Learning Network for Lake Water Body Extraction of Google Remote Sensing Images. Remote Sensing. 2020, 12(24), 4140.
2019年论文
1. Wang Zhaobin, Guo Lijie, Wang Shuai, Chen Lina, Wang Hao. Review of Random Walk in Image Processing. Archives of Computational Methods in Engineering. 2019, 26(1):17-34.
2. Wang Zhaobin, Yang Zekun. Seam elimination based on Curvelet for image stitching. Soft Computing, 2019, 23(13):5065-5080.
3. Wang Zhaobin, Chen Lina, Li Jian, Zhu Ying. Multi-focus image fusion with random walks and guided filters. Multimedia Systems, 2019. 25(4): 323-335.
2018年论文
1. Wang Zhaobin, Sun Xiaoguang, Yang Zekun, Zhang Yaonan, Zhu Ying, Ma Yide. Leaf Recognition Based on DPCNN and BOW. Neural Processing Letters. 2018, 47(1): 99-115
2. Wang Zhaobin, Wang Shuai, Guo Lijie. Novel multi-focus image fusion based on PCNN and random walks. Neural Computing and Applications. 2018, 29(11): 1101-1114
2017年论文
1. Wang Zhaobin , Li Huale, Zhu Ying, Xu Tianfang. Review of Plant Identification Based on Image Processing. Archives of Computational Methods in Engineering. 2017, 24(3): 637-654.
2. Wang Zhaobin, Wang Shuai, Zhu Ying. Multi-focus Image Fusion Based on the Improved PCNN and Guided Filter. Neural Processing Letters, 2017, 45(1): 75-94.
2016年论文
1. Wang Zhaobin, Wang Shuai, Zhu Ying, Ma Yide. Review of Image Fusion Based on Pulse-Coupled Neural Network. Archives of Computational Methods in Engineering. 2016, 23(4): 659-671
2. Wang Zhaobin, Wang Hao. Image smoothing with generalized random walks: Algorithm and applications. Applied Soft Computing. 2016, 46: 792-804
3. Wang Zhaobin, Sun Xiaoguang, Zhang Yaonan, Zhu Ying, Ma Yide. Leaf recognition based on PCNN. Neural Computing and Applications. 2016, 27(4): 899-908
2015年论文
1. Wang Zhaobin, Wang Hao, Sun Xiaoguang, Zheng Xu. An image enhancement method based on edge preserving random walk filter, 11th International Conference on Intelligent Computing, ICIC 2015, 433-442, Fuzhou,China, 2015.8.20-2015.8.23.
2. Wang Zhaobin, Zheng Xu, Sun Xiaoguang, Wang Hao, Zhu Ying, Liu Jianpeng, Ma Yide. A new petiole detection algorithm based on leaf image, 2015 28th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2015，1430-1434，Halifax, NS, Canada，2015.5.3-2015.5.6.
2014年论文
1. 王兆滨, 马义德, 祝英, 高清祥. 枸杞体细胞胚高频发生体系的建立. 兰州大学学报自然科学版. 2014.50(1).95-100
2. Wang Zhaobin,Sun Xiaoguang, Ma Yide, et al. Plant recognition based on intersecting cortical model. 2014 International Joint Conference on Neural Networks (IJCNN). 2014: 975 - 980.
2013年论文
1. Wang Zhaobin, Guo Miao, Zhu Ying, Yang Lizhen, Ma Yide. Macromolecular extraction based on contour evolution. ICGIP: International Conference of Graphic and Image Processing. 2013, Vol. 87686G1-4.
2010年论文
1. Wang Zhaobin, Ma Yide, Gu Jason. Multi-focus image fusion using PCNN [J]. Pattern Recognition. 2010, 43(6):2003.
2. Wang Zhaobin, Ma Yide, Feiyan Cheng, Lizhen Yang. Review of Pulse Coupled Neural Networks, Image and Vision Computing. 2010, 28(1): 5-13.
2010年以前发表的论文
1. Wang Zhaobin, Ma Yide. Medical Image Fusion Using m-PCNN [J].Information Fusion. 2008, 9(2):176-185.
2. Wang Zhaobin, Ma Yide. Dual-channel PCNN and Its Application in the Field of Image Fusion [C]. Proceedings of the 3rd International Conference on Natural Computation (ICNC 2007). 2007, Volume 1, pp.755-759.
3. Wang Zhaobin, Ma Yide, and Xu Guangzhu. A New Approach to Iris Recognition [J]. International Journal of Information Acquisition. 2007, 4(1):69-76.
4. Wang Zhaobin, Ma Yide, Xu Guangzhu. A Novel Method of Iris Feature Extraction Based on the ICM [C]. Proceedings of 2006 IEEE Proceedings of the International Conference on Information Acquisition. IEEE ICIA 2006, pp.814-818.
5. Ma Yide, Wang Zhaobin, Chenghu Wu. Feature Extraction from Noisy Image Using PCNN [C]. Proceedings of 2006 IEEE Proceedings of the International Conference on Information Acquisition. IEEE ICIA 2006, pp.808-813.
6. 马义德, 王兆滨, 祝英. 基于脉冲耦合神经网络一种生物彩色图像自动分割新方案 [J]. 哈尔滨工业大学学报. 2009, 41(9):173-175.
教学论文
1. 王兆滨, 马义德,等. 新形势下嵌入式系统应用开发人才培养模式探索. 高等理科教育. 2013, 第4期, 99-102.
2. 王兆滨, 马义德,等. 基于计算思维能力培养的嵌入式系统课程教学改革探讨. 高等理科教育. 2014, 第6期, 114-119.
3. 王兆滨, Python在“信号与系统”课程中的应用[J]. 电气电子教学学报. 2024,46(05):44-47.

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