
男,理学博士,中国科学院地理科学与资源研究所 高级工程师,硕士生导师,中国民航局低空地理信息与航路重点实验室 秘书长(2021-)、地理信息科学与技术全国重点实验室 低空地理信息研究室副主任(2024-),在无人机运行风险评估、航路规划和无人机遥感智能等方面积累较丰富经验,发表相关中英文文章80多篇(其中第一或通讯43篇),低空无人机相关发明专利25项,低空无人机相关标准14项,撰写的专报被国家领导人采纳3篇,荣获省部级特等奖1次(排名第5),二等奖2次(排名第2和10)。目前主要从事无人机遥感与低空航路等方面研究工作。
教育经历:
2014-2017 中国科学院遥感与数字地球研究所,获地图学与地理信息系统专业 理学博士
2006-2009 国家海洋技术中心,获港口、海岸与近海工程专业 工学硕士
2002-2006 南京信息工程大学(原南京气象学院),获地理信息系统专业 理学学士
工作经历:
2019-至今 中国科学院地理科学与资源研究所,助理研究员/高级工程师
2017-2019 中国科学院遥感与数字地球研究所,助理研究员
2012-2014 国家遥感中心,工程师
2009-2012 国家海洋技术中心,助理工程师/工程师
社会兼职:
中国卫星导航定位协会低空经济工委会 副主任(2025-);
中国地理学会团标工作组 副组长(2024-);
中国地理学会地理大数据工作委员会委员(2022-),副主任(2026-);
地理科学进展期刊编委(2026-)
全国信息技术标准化技术委员会无人系统标准工作组专家(2023-);
北京测绘学会十三届理事会-摄影测量与遥感专业委员会委员(2023-);
中国民航局民用无人驾驶航空器运营安全评估专项小组专家(2021-);
中国民航局无人驾驶航空器服务提供专项工作小组专家(2021-);
世界交通运输大会(WTC)无人机和通航技术委员会委员(2021-)。
研究方向:
(1)低空地理信息航路规划与运行风险评估;
(2)无人机组网遥感与智能提取;
(3)地理大数据分析与三维可视化
(4)遥感智能体与智算大模型;。
主持项目/课题:
•国家重点研发计划课题四“低空航路网融合飞行安全管控”(2025YFB3910304)
• 国家重点研发计划子课题“多路无人机遥感数据实时成图技术研究”(2023YFB3905704-2)
• 国家重点研发计划课题二“中国及中亚‘一带一路’区域典型陆地生态系统定位监测数据管理与分析应用系统”(2019YFE0126502)
• 中科院重点部署项目课题一“无人机低空公共航路规划与仿真验证系统”(ZDRW-KT-2020-2-1)
• 高分辨率对地观测系统重大专项(民用部分)课题“高分产品真实性检验的低空无人机组网观测与数据高效处理关键技术”(子课题) (21-Y20A06-9001-17/18-3)
• 湖南省两重项目“空天地一体化组网监测与全空间智能系统”(湘财采计[20251001527]号)
• 湖南省长沙市项目“基于北斗的空天地一体智慧燃气安全监管系统(一期)应用试点”(ZKGS(ZB)-20250459)
• 浙江省“尖兵领雁”计划课题三“低空环境位置信息智能服务”(2025C01G929015103)
• 绍兴低空经济规划编制专项课题二“绍兴市低空经济航路航线规划”(ZJDT-F-24025)
•深圳低空专项课题四“城市低空大规模无人机飞行社会影响动态监测技术”(202317D121-4)
• 研究所自主部署项目“多源异构无人机遥感数据编目标准化研究”(Y9904015)
[1] Hongbo He, Chenchen Xu, Huping Ye*, Zongru Li, Xiaohan Liao*. SkyRoad network: A hierarchical graph-based framework for safe and efficient low-altitude airspace utilization [J], Reliability Engineering &System Safety,2026,1-18. DOI: 10.1016/j.ress.2026.113056(SCI)
[2] Bing Du, Xiaohan Liao, Huanyin Yue, Yuyu Zhang, Huping Ye* and Jianli Liu. MSRS-SLAM: A real-time multi-UAV dense mapping system for efficient low-altitude remote sensing[J], International Journal of Applied Earth Observation and Geoinformation, 2026, 151 (105387):1-18. DOI: https://doi.org/10.1016/j.jag.2026.105387(SCI)
[3] Zhensen Wei, Huping Ye*, Hongbo He, Kin Huat Low, Lina Hao, Zongru Li, Shu Chen, Xiaohan Liao. Interpretable machine learning for street-level population modeling in the built environment: Implications for urban low-altitude operations[J], Building and Environment, 2026, 301 (114763):1-23. DOI: https://doi.org/10.1016/j.buildenv.2026.11476(SCI)
[4] Hongbo He, Huping Ye*, Chenchen Xu, Huanyin Yue, Xiaohan Liao*. Urban low-altitude airspace resources: Integrating risk and accessibility through fine-grained analysis[J], Cities, 2026, 175(107190):1-17. DOI: 10.1016/j.cities.2026.107190(SCI)
[5] Bing Du, Huping Ye*,Yuyu Zhang, and Xiaohan Liao*. A Real-Time Orthophoto Generation Approach for UAV Based on Deep Learning Visual Feature[J], IEEE Transactions on Geoscience and Remote Sensing, 2025, 1-13. (SCI)
[6] Jianfeng Li,Huping Ye*, Siqi Liu, Liangyan Yang, Zhuoying Zhang.Guiding the sustainable reclamation of abandoned farmland: insights from China’s Loess Plateau[J], Ecological Indicators,2025,181:1-16. (SCI,一区)
[7] Lina Hao, Huping Ye*, Shuang He, Xinyu Zhang, Dalai Bayin, Mustafo Safarov, Mekhrovar Okhonniyozov, and Xiaohan Liao*. Estimation of Above-ground Biomass in Tajikistan Based on Upscaling Extrapolation of UAV and Sentinel-2 Multi-Source Data Synergy[J], Science of Remote Sensing, 2025, 12(100259). (SCI)
[8] Weibo Shi, Xiaohan Liao, Shaoqiang Wang, Huping Ye*, Dongliang Wang, Huanyin Yue, Jianli Liu, Evaluation of a CNN model to map vegetation classification in a subalpine coniferous forest using UAV imagery[J], Ecological Informatics, 2025,87,103111. (SCI)
[9] Bingxuan Liu, Huping Ye*, Xiaohan Liao, Xinyu Zhang, Guozhu Mao, and Tianli Pan*. UAV Data for Herbaceous Community’ Above-ground Biomass Upscaling: A New Perspective on LiDAR and Multispectral Information Fusion[J], International Journal of Digital Earth, 2025, 18(1), 1-12. (SCI)
[10] Jianfeng Li, Jichang Han, Yang Zhang, Siqi Liu, Huping Ye* and Zhuoying Zhang. Decoupling Characteristics of County-level Land Use Carbon Emissions and Ecological Environment Quality at Spatiotemporal Scales A Case Study of Shaanxi Province, China[J], International Journal of Digital Earth, 2024, 17(1),1-20. (SCI)
[12] Xuemei Li, Xing Wang*, Huping Ye*, Shi Qiu, Xiaohan Liao. Multi-Network Algorithm for Coastal Line Segmentation in Remote Sensing Images[J], IEEE Transactions on Geoscience and Remote Sensing. 2024,62:1-12. (SCI)
[13] Shi Qiu*, Huping Ye*, Xiaohan Liao, Benyue Zhang, Miao Zhang, Zimu Zeng. Multilevel-Based Algorithm for Hyperspectral Image Interpretation[J], Computers and Electrical Engineering, 2024, 109033(113), 1-16. (SCI)
[14] Jianfeng Li, Yang Zhang, Longfei Xia, Jing Wang, Huping Ye*, Siqi Liu and Zhuoying Zhang. Research on Zoning and Carbon Sink Enhancement Strategies for Ecological Spaces in Counties with Different Landform Types[J]. Sustainability. 2024, 16(13), 5700. (SCI)
[15] Shi Qiu, Huping Ye*, and Xiaohan Liao. Coastal Zone Extraction Algorithm Based on Multilayer Depth Features for Hyperspectral Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 5527315, 1-19. (SCI)
[16] Hongbo He, Xiaohan Liao, Huping Ye*, Chenchen Xu and Huanyin Yue. Data-Driven Insights into Population Exposure Risks: Towards Sustainable and Safe Urban Airspace Utilization by Unmanned Aerial Systems[J]. Sustainability. 2023, 15, 12247. (SCI)
[17] Jianfeng Li, Siqi Liu, Biao Peng, Huping Ye*, Zuoying Zhang. Identification and Optimization of County-Level Ecological Spaces under the Dual-Carbon Target: A Case Study of Shaanxi Province, China[J]. Remote Sensing. 2023, 15, 4009. (SCI)
[18] Junming Tan, Huping Ye, Chenchen Xu, Hongbo He, Xiaohan Liao*. SkyroadAR: An Augmented Reality System for UAVs Low-Altitude Public Air Route Visualization[J]. Drones, 2023, 7, 587. (SCI)
[19] Huan Wang, Shi Qiu, Huping Ye, and Xiaohan Liao. 2023. A Plant Disease Classification Algorithm Based on Attention MobileNet V2[J]. Algorithms. 2023, 16(9): 442. (SCI)
[20] Shi Qiu, Huping Ye*, Xiaohan Liao. Coastline Recognition Algorithm Based on Multi-Feature Network Fusion of Multi-Spectral Remote Sensing Images[J]. Remote Sensing. 2022, 14, 5931. (SCI)
[21] Xuemei Li, Huping Ye*, Shi Qiu. Cloud Contaminated Multispectral Remote Sensing Image Enhancement Algorithm Based on MobileNet[J]. Remote Sensing. 2022, 14, 4815. (SCI)
[22] Jianli Liu, Xiaohan Liao*, Huping Ye, Huanyin Yue, Yong Wang, Xian Tan, Dongliang Wang. UAV Swarm Scheduling Method for Remote Sensing Observations during Emergency Scenarios[J]. Remote Sensing. 2022, 14, 1406. (SCI)
[23] Hongbo He, Huping Ye, Chenchen Xu, Xiaohan Liao*. Exploring the Spatial Heterogeneity and Driving Factors of UAV Logistics Network: case study of Hangzhou, China[J]. ISPRS Int. J. Geo-Inf. 2022, 11, 419.
[26] Xiaohan Liao, Huanyin Yue, Ronggao Liu, Xiangyong Luo, Bin Luo, Ming Lu, Barbara Ryan, Huping Ye*. Launching an Unmanned Aerial Vehicle Remote Sensing Data Carrier: Concept, Key Components and Prospects[J]. International Journal of Digital Earth, 2020, 13(10), 1172-1185. (SCI)
[27] Junsong Luo, Shi Qiu*, Yizhang Jiang, Keyang Cheng, Huping Ye* and Mingjin Zhang. A Contribution Algorithm from LDRI to HDRI[J]. International Journal of Pattern Recognition and Artificial Intelligence. 2020, 34(7): 2059025.1-15. (SCI)
[28] Chenchen Xu, Xiaohan Liao*, Huping Ye, Huanyin Yue. Iterative construction of low-altitude UAV air route network in urban areas: Case planning and assessment[J]. Journal of Geographical Sciences, 2020, 30 (9): 1534-1552. (SCI)
[29] Chenchen Xu, Xiaohan Liao*, Junming Tan, Huping Ye, Haiyin Lu. Recent Research Progress of Unmanned Aerial Vehicle Regulation Policies and Technologies in Urban Low Altitude[J] IEEE Access,2020,8:74175-74194. (SCI)
[30] Huping Ye, Bing Zhang, Xiaohan Liao, Tongji Li, Qian Shen, Fangfang Zhang, Jianhua Zhu*, and Junsheng Li*, Gaussian decomposition and component pigment spectral analysis of phytoplankton absorption spectra[J]. Journal of Oceanology and Limnology, 2019, 37(5), 1542–1554. (SCI)
[31] 廖小罕,徐晨晨,叶虎平.低空经济发展与低空路网基础设施建设的效益和挑战[J].中国科学院院刊, 2024, 39(11):1-16.
[32] 潘天力, 叶虎平*, 张心昱, 等. 塔吉克斯坦草地无人机地上生物量产品[J]. 中国科学数据, 2024. (2024-05-07). DOI: 10.11922/11-6035.csd.2024.0005.zh.
[33] 廖小罕,徐晨晨,叶虎平,谭翔,房世峰,黄耀欢,林静.无人机应用发展关键基础设施与低空公共航路网规划[J]. 中国科学院院刊, 2022, 37(7): 977-988.
[34] 贺洪波,徐晨晨,叶虎平*.无人机低空飞行障碍物环境风险评估—以京津新城为例[J],地理科学进展, 2021,40(09):1503-1515.
[35] 王晓霏,叶虎平*,廖小罕,岳焕印,施冬.一种深度学习的无人机影像道路自动提取方法[J]测绘科学,2021,46(11),106-113.
[36] 徐晨晨,叶虎平,岳焕印,谭翔,廖小罕*.城镇化区域无人机低空航路网迭代构建的理论体系与技术路径[J].地理学报,2020,75(05):917-930. (EI)
[37] 李健锋,张宗科,魏显虎,杨亮彦,叶虎平*.洪水淹没范围快速提取模型研究[J].灌溉排水学报,2021,40(S1):26-32. (EI)
[38] 叶虎平,廖小罕*,何贤强,岳焕印. 斯里兰卡近海海洋生态环境参量变化遥感监测分析[J].地球信息科学学报.2020,22(7):1463-1475. (EI)
[39] 李健锋,叶虎平*,张宗科,魏显虎. 面向 Sentinel-2影像的 LBV和 K-T变换水体信息提取模型研究[J]. 遥感信息,2020,35(5):148-154.
[40] 邓晓明,廖小罕,岳焕印,徐晨晨,叶虎平*.面向无人机遥感数据共享的元数据设计与实践[J].遥感信息,2020,35(06):99-104.
授权发明专利(近5年):
[1] 叶虎平,廖小罕.一种无人机的航路高度确定方法、装置、电子设备及介质, ZL 202511143131.X,授权日期:2026.05.29
[2] 叶虎平,廖小罕,王晓霏,岳焕印.一种基于深度学习的无人机影像道路自动提取方法和系统, ZL 202011548998.0, 授权日期:2022.03.15
[3] 岳焕印,叶虎平,廖小罕.一种无人机停机路径管理方法及系统,ZL 202110870365.X,授权日期:2023.07.07
[4] 岳焕印,叶虎平,廖小罕.一种能够进行应急处理的无人机和无人机应急处理方法,ZL 202110836607.3,授权日期:2023.06.30
[5] 岳焕印,叶虎平,于艳梅.一种用于无人机的组网方法及系统, ZL 2021108373772, 授权日期:2023.3.28
[6] 岳焕印,叶虎平,廖小罕.一种无人机智能机库, ZL 2021108374154, 授权日期:2023.3.28
[7] 岳焕印,叶虎平,于艳梅.一种为无人机起飞提供助力的停机装置, ZL 2021108379603, 授权日期:2023.3.28
[8] 岳焕印,廖小罕,叶虎平.无人机复飞装置及无人机, ZL 202010567948.0 , 授权日期:2023.09.12
[9] 岳焕印,廖小罕,叶虎平.无人机复飞方法,ZL 202010568063.2,授权日期:2023.10.03
[10] 廖小罕,岳焕印,叶虎平,于艳梅.一种通过伸缩架进行空中悬停的无人机和控制方法, ZL 202010656383.3, 授权日期:2021.10.15
[11] 岳焕印,廖小罕,叶虎平.一种无人机复飞装置及无人机, ZL 202010568048.8, 授权日期:2022.03.22
[12] 岳焕印,廖小罕,叶虎平.一种无人机复飞方法, ZL 202010566570.2, 授权日期:2022.04.08
[13] 岳焕印,廖小罕,叶虎平,于艳梅.一种停机方法, ZL 202010402636.4, 授权日期:2021.07.27
[14] 岳焕印,廖小罕,叶虎平.一种多无人机通过障碍降落的方法及系统, ZL 202010566596.7, 授权日期:2021.07.27
[15] 岳焕印,廖小罕,叶虎平,胡俊.一种自动充电无人机机库, ZL 201910442085.1. 授权日期:2021.02.02
[16] 岳焕印,廖小罕,叶虎平,于艳梅.一种停机装置, ZL 202010402010.3, 授权日期:2020.09.01
[17] 王东亮,岳焕印,彭金榜,廖小罕,叶虎平,谭翔.基于无人机的动物三维参数提取方法、系统及电子设备,ZL 202010475356.6,授权日期:2023.06.30
研究生招生与培养
招生专业:地图学与地理信息系统
招生方向:低空地理信息航路规划与风险评估;无人机遥感与智算大模型;
欢迎对低空地理信息、无人机遥感、低空经济感兴趣的同学联系报考或客座研究生。
联系方式
通信地址:北京市朝阳区大屯路甲11号中国科学院地理科学与资源研究所
邮 编:100101
E–mail: yehp@igsnrr.ac.cn