个人资料
个人简介席江波，男，副教授，博士生导师，中国图象图形学学会视觉传感专委会委员，中国图象图形学学会多媒体专委会委员,中国自动化学会混合智能专委会委员。2008年在吉林大学电子信息科学与技术专业获得学士学位，2017年在中国科学院大学信号与信息处理专业获博士学位（硕博连读），其中，2015年4月至2017年4月（2年）国家公派赴美国普渡大学（Purdue University）电子与计算机工程系博士联合培养。主要研究方向：（1）卫星遥感、无人机航空影像智能处理；（2）通用人工智能方法及技术；（3）图象视频目标检测及跟踪；（4）地质灾害智能识别；（5）边缘学习、嵌入式系统设计及应用。 主持国家自然科学基金面上项目、国家自然科学基金青年项目、国家留学基金委项目、地理信息工程国家重点实验室开放基金、中央高校高新技术培育、企业横向等项目多项；参与国家重点研发项目、国家自然科学基金面上项目、中央高校等项目多项，参与完成国家863课题2项。在相关领域已发表SCI及EI检索学术论文50篇（第一作者及通信作者30篇），第一发明人申请发明专利13项（已授权发明专利8项）。担任IEEE-TNNLS，IEEE-TGRS，Knowledge-Based Systems，Remote Sensing等10多个国内外期刊审稿人，曾获中国科学院院长优秀奖，朱李月华优秀博士生奖。近年来，指导学生参加北斗杯、挑战杯、互联网+、测绘论文大赛、电子商务三创赛、航天天绘高分应用方案大赛等比赛获得全国及省级奖13项，校级奖12项。指导2018-2022届共18人本科毕业设计：15人优秀（3人获长安大学校优毕业设计论文）。获2018年毕业设计优秀指导教师。 社会职务中国图象图形学学会视觉传感专委会委员 中国图象图形学学会多媒体专委会委员 中国自动化学会混合智能专委会委员 国际学术期刊IEEE Transactions on Neural Network and Learning Systems，IEEE Transactions on Geoscience and Remote Sensing, Knowledge-Based Systems，Remote Sensing，Applied Opitcs，Experimental Astronomy，Earth Science Informatics, The journal of Supercomputing, Signal, Image and Video Processing, Wireless Communications and Mobile Computing，IEEE Access，Sensors，International Journal of Environmental Research and Public Health，Applied Sciences审稿人；《武汉大学学报（信息科学版）》、《吉林大学学报（工学版）》、《计算机学报》、《无人系统技术》期刊审稿人。 研究领域（1）卫星遥感、无人机航空影像智能处理； （2）通用人工智能方法及技术； （3）图象视频目标检测及跟踪； （4）地质灾害智能识别； （5）边缘学习、嵌入式系统设计及应用。 开授课程本科生课程：数字图像处理，Python语言与机器学习，嵌入式系统及程序设计，虚拟现实技术，MATLAB程序设计 研究生课程：机器学习理论及应用 科研项目1.基于动态宽度与深度学习的多源异构数据下高山峡谷区链生地质灾害智能识别研究, 国家自然科学基金项目（面上）, 2024/01-2027/12, 46万, 在研, 主持。 2.基于多级宽度学习的弱小运动目标智能化并行实时检测，国家自然科学基金项目（青年）, 2019/01-2021/12, 22万, 结题，主持。 3.缓变型黄土滑坡遥感智能识别试验，中国自然资源航空物探遥感中心，2022/01-今, 70万+40万（2022年），在研, 主持。 6.INSAR海量数据高精度准动态形变时序分析，国家自然科学基金项目（面上）, 2019/01-2022/12, 63万, 已结题, 参与（排名第3）。 7.岩溶山区特大滑坡早期识别与监测预警, 国家重点研发计划课题, 2018/12-2021/12, 结题, 参与。 8.智慧黄河地学大数据集成与分析，中央高校基本科研业务费专项资金, 纵向科研, 2021-01至今，50万元, 在研, 参与。 12.督察典型区建筑物自动信息提取与变化检测，中国自然资源航空物探遥感中心，横向项目，211535200375，2020-08至 2020-12，29.5万元，结题，主要参与人。 13.三维模型智能重建，中央高校基本科研业务费专项资金，2019/01-2021/12，已结题，参与。
论文一、期刊论文 (注：* 通讯作者，Corresponding author) (37) Jiangbo Xi, and Okan K. Ersoy, et. al., Parallel Multistage Wide Neural Network, IEEE Transactions on Neural Networks and Learning systems, 34(8), 4019-4032, 2023 (中科院 1 区, TOP, IF: 14.255). (36) Dashuai Xie, Zhe Zhao, Jiangbo Xi* et al., Hybrid Dynamic Neural Network for Resources Efficient Object Detection in Remote Sensing Images, IEEE Transactions on Neural Networks and Learning Systems (Under Review). (35) Jie Wang, Binze Wang, Jiangbo Xi*, Xue Bai, Okan. K. Ersoy, Ming Cong, Siyan Gao, Zhe Zhao, Remote Sensing Image Captioning with Sequential Attention and Flexible Word Correlation, IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024. (34) Siyan Gao, Jiangbo Xi *, Zhenhong Li, Daqing Ge, Zhaocheng Guo, Junchuan Yu, Qiong Wu, Zhe Zhao, Jiahuan Xu, Optimal and multi-view strategic hybrid deep learning for old landslide detection in the Loess Plateau, Northwest China, Remote Sensing, vol. 16. no. 8. pp. 1362, 2024 (中科院 2 区). (33) Jiangbo Xi, Okan K. Ersoy, and Ming Cong et. al., Wide and Deep Fourier Neural Network for Hyperspectral Remote Sensing Image Classification, Remote Sensing, 14(12), 2931, 2022 (中科院 2 区). (32) Wandong Jiang, Jiangbo Xi*, and Zhenhong Li, et al. Deep Learning for Landslide Detection and Segmentation in High-Resolution Optical Images along the Sichuan-Tibet Transportation Corridor, Remote Sensing, 14(21), 5490, 2022 (中科院 2 区). (31) Jiangbo Xi, Ming Cong, and Okan K. Ersoy, et. al., Dynamic Wide and Deep Neural Network for Hyperspectral Image Classification, Remote Sensing, 13(13), 2575, 2021 (中科院 2 区). (30) Jiangbo Xi, and Okan K. Ersoy, et. al., Wide Sliding and Subsampling Network for Hyperspectral Image Classification, Remote Sensing, 13(7), 1290, 2021(中科院 2 区). (29) Jiangbo Xi, and Okan K. Ersoy, et. al., Scalable Wide Neural Network: A Parallel, Incremental Learning Model Using Splitting Iterative Least Squares, IEEE Access, 9, 2021. (28) Yaobing Xiang, and Jiangbo Xi*, et al., Open clusters identifying by multi-scale density feature learning, Astrophysics and Space Science 366(2), 1-11, 2021. (27) Ming Cong, Jiangbo Xi*, Ling Han, Junkai Gu, Ligong Yang, Yiting Tao, and Miaozhong Xu, Multi-resolution classification network for high-resolution UAV remote sensing images, Geocarto International, 2020. (26) Jiangbo Xi, Yaobing Xiang, and Okan K. Ersoy, et. al.,Space Debris Detection Using Feature Learning of Candidate Regions in Optical Image Sequences, IEEE Access, 8, 150846-150877, 2020 (中科院 2 区). (25) Ming Cong, and Jiangbo Xi* et al., Two-pathway anti-interference neural network based on the retinal perception mechanism for classification of remote sensing images from unmanned aerial vehicles, Journal of Applied Remote Sensing, 14(2), 026511, 2020. (24) 邵振峰，孙悦鸣*，席江波*，李岩．智能优化学习的高空间分辨率遥感影像语义分割[J/OL]．武汉大学学报(信息科学版), 2021. (23) 姜万冬，席江波*，李振洪等，模拟困难样本的Mask R-CNN滑坡分割识别, [J/OL]．武汉大学学报(信息科学版), 2021. (22) Jiangbo Xi, Desheng Wen, Okan K. Ersoy, Hongwei Yi, Dalei Yao, Zongxi Song, and Shaobo Xi, Space debris detection in optical image sequences, Applied Optics, 2016, 55(32):7929-7940 (21) Jiangbo Xi, Desheng Wen, Zongxi Song, Wei Gao, Dailei Yao, Shaodong Yang, Rapid star extraction and high accuracy location in star image, Journal of Information and Computational Science, 2015, 12(8): 2929-2937. (20) Jiangbo Xi, Desheng Wen, Zongxi Song, Wei Gao, Menghua Kang, Jiao Mou, Peng Pang, Hao Lu, A Maximum Projection and Particle Filtering Algorithm for Space Debris Detection, Journal of Information and Computational Science, 2015, 12(1): 161-169. (19) Jiangbo Xi, Desheng Wen, Zongxi Song, Wei Gao, Menghua Kang, Jiao Mou, Hao Lu, Peng Pang, A Frame Correlation and Kalman Filtering Algorithm for Space Debris Detection, Journal of Information and Computational Science, 2014, 11(15): 5317-5325. (18) Xuerong Chen, Chaoying Zhao, Zhong Lu, and Jiangbo Xi, Landslide Inventory Mapping Based on Independent Component Analysis and UNet3+: A Case of Jiuzhaigou, China, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 2213-2223, 2024. (17) XuerongChen, Chaoying Zhao, Jiangbo Xi, et al. Deep Learning Method of Landslide Inventory Map with Imbalanced Samples in Optical Remote Sensing. Remote Sensing, 14(21), 5517, 2022 (中科院 2 区). (16) MingCong, Jianjun Cui, Siliang Chen, Yihui Wang, Ling Han, Jiangbo Xi, Junkai Gu et al. Enhanced shuffle attention network based on visual working mechanism for high-resolution remote sensing image classification. Geocarto International, 1-36, 2022. (15) Tianjun Wu, Chenfei Yang, Jiancheng Luo, Wen Dong, Ya’Nan Zhou, Yingpin Yang, Wei Zhao, Jiangbo Xi, and Changpeng Wang. Land Geoparcel-Based Spatial Downscaling for the Microwave Remotely Sensed Soil Moisture Product. IEEE Geoscience and Remote Sensing Letters, 19: 1-5,2022 (中科院 2 区). (14) Wu, Tianjun; Luo, Jiancheng; Gao, Lijing; Sun, Yingwei; Dong, Wen; Zhou, Ya’nan; Liu, Wei; Hu, Xiaodong; Xi, Jiangbo; Wang, Changpeng; Yang, Yun, Geo-Object-Based Vegetation Mapping via Machine Learning Methods with an Intelligent Sample Collection Scheme: A Case Study of Taibai Mountain, China, Remote Sensing, vol.13, no. 2: 249, 2021 (中科院 2 区). (13) 杨耘, 王彬泽, 刘艳, 席江波, 柏涵, 王丽霞, 吴田军. 基于时空优化 LSTM 深度学习网络的气温预测. 徐州工程学院学报: 自然科学版, 35(2):44-9, 2020. (12) Yue Sun, Yitong Cai, Ji Chen, Ya Gao, Jiangbo Xi, Long Ge, Yi Cao, Junhua Zhang, and Jinhui Tian, An evidence map of clinical practice guideline recommendations and quality on diabetic retinopathy, Eye, pp.1-12,2020. (11) Tianjun Wu, JIancheng Luo, Yanan Zhou, Changpeng Wang, Jiangbo Xi, and Jianwu Fang, Geo-Object-Based Land Cover Map for High-Spatial-Resolution Remote Sensing Images via Change Detection and Label Transfer, Remote Sensing, 12(1), 2019 (中科院 2 区). (10) Yue Sun, Ji Chen, Shuzhen Shi, Long Ge, Yoxiang Bu, Jiangbo Xi, Jinhui Tian, Are paediatric clinical practice guidelines trustworthy? Journal of paediatrics and child health, 55(9), 2019. (9) M Cong, Z Wang, Y Tao, J Xi, C Ren, M Xu, Unsupervised self-adaptive deep learning classification network based on the optic nerve microsaccade mechanism for unmanned aerial vehicle remote sensing image classification, Geocarto International,2019, 1-20 (8) Xin Wei, Desheng Wen, Jiangbo Xi, Wenkang Deng, A star identification algorithm based on radial and dynamic cyclic features of star pattern, Advances in Space Research, 2019，63(7). (7) Xin Wei, Desheng Wen, Zongxi Song, Jiangbo Xi, Wenkang Zhang, Gang Liu, Zhixin Li, A Systematic Error Compensation Method Based on an Optimized Extreme Learning Machine for Star Sensor Image Centroid Estimation, Applied Sciences, 2019,9(22),4751. (6) Xin Wei, Desheng Wen, Zongxi Song, Jiangbo Xi, Star Identification Algorithm Based on Oriented Singular Value Feature and Reliability Evaluation Method, TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, 2019,62(5),265-274. (5) Fei Cheng, Kai Liu, Maoguo Gong, Kaiyuan Fu, Jiangbo Xi, Robust visual tracking via randomly projected instance learning，International Journal of Intelligent Computing and Cybernetics，11(52), 2016. (4) Dalei Yao, Desheng Wen, Jianru Xue, Yuehong Qiu, Jiangbo Xi, et al., “The degree of polarization modeling with different shapes of the satellite,” Optik, vol. 127, 2016. (3) Dalei Yao, Desheng Wen, Jianru Xue, Yuehong Qiu, Jiangbo Xi, et al., “Detection ability analysis of ground based imaging polarization detector,” Optik, vol. 126, 2015. (2) Jiao Mou, Wei Gao, Zongxi Song, Jiangbo Xi, et al., “An Effective Fusion Based on Compressive Sensing” , Journal of Information and Computational Science, vol.12, no.11, 2014. (1) Hao Lu, Zongxi Song, Hongwei Yi, Qi Wang, Jianbo Xi, “A new method of efficient measurement for sub-pixel image motion of space camera,” Journal of Information and Computational Science, vol.12, no.2, 2015. 二、会议论文(注：*通讯作者，Corresponding author) (12) Jiahuan Xu, Dili Zeng, Jiangbo Xi*, High Resolution Remote Sensing Semantic Segmentation Using Bayesian of Hyperparameters and Improved U-net, The 5th China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI2023, Nanjing, 2023. (11) Bao Liu, Yuhui Zou, Jiangbo Xi*, High Resolution Remote Sensing Image Captioning Using Group Convolution and Attentional Mechanism, The 5th China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI2023, Nanjing, 2023. (10) Zhe Zhao, Jingwei Chen, Jiangbo Xi*, Wandong Jiang, Dashuai Xie, Siyan Gao, and Jie Wang. Lightweight Target Detection in High Resolution Remote Sensing Images. In Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022), pp. 3252-3260. Singapore: Springer Nature Singapore, 2023. (9) Binze Wang, Jiangbo Xi*, Xingrun Wang, Jianwu Fang,Wandong Jiang, DashuaiXie, and Yaobing Xiang et al. Remote Sensing Image Captioning Using Transformer,2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021). (8) Jiangbo Xi, and Ziyun Yan et al. Continual learning for scene classification of high resolution remote sensing images, The 12th International Conference on Information Optics and Photonics (CIOP2021). (7) Jiangbo Xi, Dashuai Xie et al. High Resolution Remote Sensing Image Classification Using Hybrid Ensemble Learning, 2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP 2021). (6) Yaobing Xiang, and Jiangbo Xi* et al. Space debris detection with fast grid-based learning, 2020 IEEE 3rd International Conference on Safe Production and Informatization (IICSPI 2020). (5) Longwei Li, and Jiangbo Xi* et al. Multi-scale Fast Detection of Objects in High Resolution Remote Sensing Images, 2020 IEEE 5th International Conference on Image, Vision and Computing (ICIVC2020). (4) Jiangbo Xi, Zongxi Song, Wei Gao, Sub-pixel location method with phase transfer function for star trackers, 8th International Symposium on Precision Engineering Measurements and Instrumentation, Chengdu, P.R. China, 2012.8.8-8.11 (3) Dalei Yao, Desheng Wen, Jianru Xue, Zhi Chen, Yan Wen, Baotan Jiang, Jiangbo Xi, “Design of a multifunction astronomical CCD camera,” Proc.SPIE 9631, 2015. (2) Hao Lu, Zongxi Song, Wei Gao, Qi Wang, Jiangbo Xi, “A multi-focus image adaptive fusion method based on comprehensive index,” Proc. SPIE. 9284, 2014. (1) Peng Pang, Wei Gao, Zongxi Song, Jiangbo Xi, “Compressed sensing based on the improved wavelet transform for image processing,” Proc. SPIE 9284, 2014. 科技成果授权及申请发明专利： 1. 一种基于最大值投影-时间信息索引联合的运动点目标检测方法, 2017.06.27, 中国（发明专利，第1发明人，授权） 2. 一种基于并行多级宽度神经网络的学习方法（发明专利，第1发明人，授权） 3. 一种基于宽度径向基函数网络的图像分类方法（发明专利，第1发明人，授权） 4. 一种基于深度集成学习的高分辨率遥感图像分类方法（发明专利，第1发明人，授权） 5. 疏散星团识别模型构建方法、疏散星团的识别方法及系统（发明专利，第1发明人，授权） 6. 基于模拟困难样本的Mask-RCNN滑坡分割方法（发明专利，第1发明人，授权） 7. 一种多层宽度神经网络及其训练方法和应用（发明专利，第1发明人，授权） 8. 一种可扩展的自适应宽度神经网络学习方法（发明专利，第1发明人，授权） 9. 用于高光谱分类的动态宽度-深度神经网络及其学习方法（发明专利，第1发明人，已申请） 10. 基于宽度和深度傅里叶网络的高光谱遥感影像分类方法（发明专利，第1发明人，已申请） 11. 一种无人机轻量化地质灾害检测方法（发明专利，第1发明人，已申请） 12. 一种高分辨率图像滑坡检测与分割方法（发明专利，第1发明人，已申请） 13. 一种黄土老滑坡的多视角深度学习混合模型的识别方法（发明专利，第1发明人，已申请） 荣誉奖励2024年指导学生参加全国大学生测绘学科创新创业智能大赛——科技论文大赛，获一等奖 2023年指导学生参加第十三届挑战杯中国大学生创业计划竞赛获三等奖（4/5） 2022年指导学生参加全国大学生测绘学科创新创业智能大赛——科技论文大赛，获二等奖 工作经历2023.12-至今：长安大学地测学院，测量系，博士生导师 2021.12—至今：长安大学地测学院，测量系，副教授 2020.12-至今：长安大学地测学院，测量系，硕士生导师 2017.11—2021.11：长安大学地测学院，测量系，讲师 |