教师主页移动版

科学研究 Scientific Research 近几年研究兴趣为空天目标检测识别及姿态估计、点云数据处理、多模态信息综合识别、无监督模型迁移、非合作目标跟踪、视觉匹配导航及变化检测、深度学习模型轻量化研究、无人飞行器自主导航及控制等，主持国防领域重点基金1项，中国高校产学研基金1项，陕西省自然基金1项，参与课题组承担的国防领域重点项目等多个纵向科研项目，根据国家发展需求将研究成果转化为工业应用。以第一作者/通信发表了高水平SCI检索论文十余篇（中科院2区及以上9篇），EI检索论文3篇，授权/受理专利6项。近几年以指导教师身份指导研究生获得科研竞赛奖项如下：1、指导学生参加中国“互联网+”创新创业大赛，获得全国总决赛银奖（2项）2、指导学生参加中国“互联网+”创新创业大赛，获得陕西省金奖（3项）2、指导学生参加挑战杯竞赛，获得陕西省特等奖3. 指导学生参加“兆易创新杯”第十七届中国研究生电子设计竞赛，获得初赛一等奖4. 指导学生参加2022年第十二届MathorCup高校数学建模挑战赛，获得研究生组二等奖5. 指导学生参加“华为杯”第十八届中国研究生数学建模竞赛，获得全国三等奖6. 指导学生参加第二届全国信息融合挑战赛决赛，获得优胜奖 （中国航空学会）7. 指导学生参加“华为杯”第十九届中国研究生数学建模竞赛，获得全国三等奖8、指导学生参加大学生创新创业比赛，获评国家级项目，以优秀成绩结题。9、指导学生参加第七届中国研究生未来飞行器创新大赛，并获得国家级二等奖。10、指导学生参加纵横杯创新创业比赛，并获得二等奖。11、团队学生参加某国防类海上无人感知比赛，获得团队一等奖

教育教学

学术成果 Academic Achievements [16]  Zhang Z, Xu Y, Song J, et al. Planet craters detection based on unsupervised domain adaptation[J]. IEEE Transactions on Aerospace and Electronic Systems, 2023.(中科院1区，TOP, eary access)[15]  Z. Zhang and L. Zhang, Unsupervised Pixel-Level Detection of Rail Surface Defects Using Multistep Domain Adaptation, IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2023.3274878.(中科院1区，TOP)[14]  Zhang Z, Ji A, Zhang L, et al. Deep learning for large-scale point cloud segmentation in tunnels considering causal inference[J]. Automation in Construction, 2023, 152: 104915. (中科院1区，TOP)[13] Zhang Z, Xu Y, Cui Q, et al. Unsupervised SAR and Optical Image Matching Using Siamese Domain Adaptation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-16. (中科院1区，TOP)[12] Song J, Zhang Z*, Iwasaki A, et al. An Augmented H∞ Filter for Satellite Jitter Estimation Based on ASTER/SWIR and Blurred Star Images[J]. IEEE Transactions on Aerospace and Electronic Systems, 2021, 57(5): 2637-2646.（中科院1区，TOP）[11] Zhang Z, Ji A, Wang K, et al. UnrollingNet: An attention-based deep learning approach for the segmentation of large-scale point clouds of tunnels[J]. Automation in Construction, 2022, 142: 104456. (中科院1区，TOP)[10] Zhang Z, Doi K, Iwasaki A, et al. Unsupervised domain adaptation of high-resolution aerial images via correlation alignment and self training[J]. IEEE Geoscience and Remote Sensing Letters [J]. IEEE Geoscience and Remote Sensing Letters, 2020, 18(4): 746-750.（中科院2区）[9] Zhang Z, Iwasaki A, Xu G. Attitude jitter compensation for remote sensing images using convolutional neural network[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(9): 1358-1362.（中科院2区） [8] Zhang Z, Wang C, Song J, et al. Object Tracking Based on Satellite Videos: A Literature Review[J]. Remote Sensing, 2022, 14(15): 3674. (中科院2区，TOP)[7] Zhang Z, Xu G, Song J. Observation satellite attitude estimation using sensor measurement and image registration fusion[J]. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2018, 232(7): 1390-1402.（中科院3区） [6] Zhang Z, Dong L, Xu G, et al. Real-time attitude estimation by using parallax observation system[J]. Neural Processing Letters, 2018, 48(3): 1415-1429. [J]（中科院4区）[5] Zhang Z, Xu G, Song J. Observation satellite attitude estimation using sensor measurement and image registration fusion[J]. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2018, 232(7): 1390-1402.（中科院4区）[4] Zhang Z, Iwasaki A, Xu G, et al. Cloud detection on small satellites based on lightweight U-net and image compression[J]. Journal of Applied Remote Sensing, 2019, 13(2): 026502.（中科院4区）[3] Zhang Z, Iwasaki A, Xu G. Remote Sensing Satellite Jitter Detection Based on Image Registration and Convolutional Neural Network Fusion[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019: 10035-10038.（EI检索）[2] Zhang Z, Xu G. Detection of JL-1 satellite's jitter using multimodal pushbroom cameras[C]//2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE). IEEE, 2016: 638-642.（EI检索）[1] Zhang Z, Zhou Q, Xu Y, et al. Remote sensing image jitter restoration based on deep generative adversarial network[C]//2021 IEEE international geoscience and remote sensing symposium IGARSS. IEEE, 2021: 2683-2686. [C] IGARSS （EI检索）

荣誉获奖

团队信息 Team Information 隶属于无人系统研究院研究院智能感知与协同技术实验室，致力于解决人工智能在航空航天领域中的感知识别任务。近几年主要研究方向为，无人机自主编队感知、多机规划协同、拒止环境图像匹配识别，非合作目标姿态估计、领域自适应及迁移学习，红外图像目标识别与跟踪，图像畸变检测与恢复等。团队主要开展空天地海目标和环境的智能感知与识别，视觉导航与机器学习，以及通信自组网和无人集群协同等方向的理论、方法和技术研究，并基于此开展各种无人系统的运用研究。 诚挚欢迎有志于人工智能与未来无人系统深度融合的青年学子前来交流研讨、攻读学位！

科学研究

学术成果

综合介绍