陆小辰 |
yl8858永利集团 副教授、硕士生导师。 主要从事空-天多源遥感图像融合及应用、高光谱图像智能分析与解译、机器学习与模式识别等方面研究。本科毕业于合肥工业大学自动化专业，硕士毕业于南京理工大学控制工程专业，博士毕业于哈尔滨工业大学信息与通信工程专业。曾就职于上海无线电设备研究所，任图像处理设计师、工程师，后进入yl8858永利集团通信工程系。 主持的科研项目包括国家自然科学基金面上项目、上海市自然科学基金、上海市经信委产业协同创新项目、yl88858永利中国中央高校自由探索及理工基地建设项目、上海无线电设备研究所自筹创新项目、校企合作项目等。参与国家自然科学基金面上项目、装备预研基金、863计划、上海航天技术研究院自主研发等课题的研究工作。目前在IEEE Transactions on Image Processing、IEEE Transactions on Geoscience and Remote Sensing、IEEE Transactions on Intelligent Transportation Systems、IEEE Transactions on Cognitive Communications and Networking等国内外期刊上发表学术论文30余篇，授权国家发明专利5项。担任上海市计算机学会人工智能专委会委员，Sensors、Computers等国外期刊Guest Editor，IEEE TGRS、TCI、TMI、JSTARS等国际顶刊审稿人。指导的研究生曾获国家奖学金、学业奖学金、上海市优秀毕业生等荣誉奖项。 |
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[1] Lu X（陆小辰）, Zhang J, Yang D, Xu L*, Jia F. Cascaded convolutional neural network-based hyperspectral image resolution enhancement via an auxiliary panchromatic image. IEEE Transactions on Image Processing, 2021, 30: 6815-6828. (中科院一区，Top，IF=13.7) [2] Lu X（陆小辰）, Li T, Zhang J, Jia F*. A novel unmixing-based hypersharpening method via convolutional neural network. IEEE Transactions on Geoscience and Remote Sensing, 2021, 60 (5503614): 1-14. (中科院一区，Top，IF=8.6) [3] Lu X（陆小辰）, Zhang J*, Li T; Zhang Y. A novel synergetic classification approach for hyperspectral and panchromatic images based on self-learning. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (8): 4917-4928. (中科院一区，Top，IF=8.6) [4] Zhao S, Yi W, Shi J, Jiang Z, Lu X（陆小辰）*. An innovative crack detection algorithm based on efficient feature fusion and progressive transfer learning. IEEE Transactions on Intelligent Transportation Systems,2024, 25 (12): 21469-21483. (中科院一区，Top，IF=8.4) [5] Zhang L, Lu J, Zhang Y, Lu X（陆小辰）*.A multi-task learning model for trajectory and cellular signal power prediction. IEEE Transactions on Cognitive Communications and Networking, 2024, 1-12. (中科院一区，IF=7.0) [6] Lu X（陆小辰）, Yang D*, Jia F, Yang Y, Zhang L. Hyperspectral image classification based on multilevel joint feature extraction network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 10977-10989. (中科院二区，Top，IF=5.3) [7] Lu X（陆小辰）, Zhang J*, Yu X, Tang W, Li T, Zhang Y. Hyper-sharpening based on spectral modulation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 12 (5): 1534-1548. (中科院二区，Top，IF=5.3) [8] Lu X（陆小辰）, Zhang J*, Li T, Zhang G. Synergetic classification of long-wave infrared hyperspectral and visible images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8 (7): 3546-3557. (中科院二区，Top，IF=5.3) [9] Jia F, Tan J, Qian J, Lu X（陆小辰）*. Radar timing range-Doppler spectral target detection based on attention ConvLSTM in traffic scenes. Remote Sensing, 2023,15 (17): 4150. (中科院二区，IF=4.1). [10] Lu X（陆小辰）, Yang D, Zhang J, Jia F*. Hyperspectral image super-resolution based on spatial correlation-regularized unmixing convolutional neural network. Remote Sensing, 2021, 13 (20): 4074. (中科院二区，IF=4.1) [11] Lu X（陆小辰）, Zhang J*, Li T, Zhang Y. Incorporating diversity into self-learning for synergetic classification of hyperspectral and panchromatic images. Remote Sensing, 2016, 8, (10): 804. (中科院二区，IF=4.1) [12] Lu X（陆小辰）, Zhang J*, Li T, Zhang Y. Hyperspectral image classification based on semi-supervised rotation forest. Remote Sensing, 2017, 9 (9): 924. (中科院二区，IF=4.1) [13] Lu X（陆小辰）, Zhang J*, Li T, Zhang Y. Pan-sharpening by multilevel interband structure modeling. IEEE Geoscience and Remote Sensing Letters, 2016, 13 (7): 892-896. (中科院三区，IF=4.4) [14] Lu X（陆小辰）, Pan Y, Liu Y, Zhang L, Li Y*. Multi-dimensional attention-aided transposed ConvBiLSTM network for hyperspectral image super-resolution. Computer Vision and Image Understanding, 2024, 248 (104096): 1-12. (中科院三区，CCF-B，IF=3.5) [15] Xu L, Huang D, Guo X, Rao W, Ji Y, Li R, Lu X（陆小辰）*. A Novel robust zero-watermarking algorithm for audio based on sparse representation. China Communications, 2021, 18 (8): 237-248. (中科院三区，卓越期刊，IF=3.1). [16] Lu X（陆小辰）, Liu X, Zhang L, Jia F, Yang Y*. Hyperspectral image super-resolution based on attention ConvBiLSTM network. International Journal of Remote Sensing, 2022, 43 (13): 5059-5074. (中科院三区, IF =2.6) [17] Lu X（陆小辰）, Yang D, Jia F*, Zhao Y. Coupled convolutional neural network-based detail injection method for hyperspectral and multispectral image fusion. Applied Sciences, 2021, 11 (1): 288. (中科院四区, IF=2.5). [18] Liu X, Zhang L, Wang R, Li X, Xu J, Lu X（陆小辰）*. Cascaded CNN and global-local attention transformer network-based semantic segmentation for high-resolution remote sensing image. Journal of Applied Remote Sensing, 2024, 18 (3): 034502. (中科院四区，IF=1.4) [19] Jia F, Tan J, Qian J, Lu X（陆小辰）*. Elevation filter design for short-range clutter suppression on airborne radar in MIMO system. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2023, 106: 812-815. (中科院四区，IF=0.4). [20] 陈经伟, 刘晓慧, 史家吉, 陆小辰*. 基于自适应相关匹配的形变位移视觉监测系统. 计算机应用与软件, 2023. (核心期刊). [21] 陆小辰, 杨德政, 贾逢德, 阳云龙. 一种基于级联网络的高光谱与全色图像融合方法. 202110646163.7, 2023.08.25. (专利授权). [22] 陆小辰, 杨德政, 贾逢德, 阳云龙. 基于光谱解混卷积神经网络的高光谱图像超分辨方法, 202111078301.2, 2023.07.25. (专利授权). [23] 秦伟,王胜蓝,陆小辰.一种水上运动员实时检测跟踪方法、设备及介质, 202511258408.3, 2025.12.09. (专利授权). [24] 张钧萍, 陆小辰, 李彤. 基于自学习的高光谱图像和可见光图像融合分类方法. 201510408771.9, 2017.11.03. (专利授权). [25] 张钧萍, 陆小辰, 李彤. 基于多层带间结构模型的多光谱图像和全色图像融合方法. 201610179673.7, 2018.12.11. (专利授权). |
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