Dr. Yang is a Professor-level Senior Engineer and Distinguished Key Researcher at AIRCAS, and a master’s supervisor at the University of Chinese Academy of Sciences. His research focuses on the integration of geospatial science, computer vision, photogrammetry, and artificial intelligence for complex spatial environments.

His main research interests include remote sensing big data, 3D spatial intelligence, visual localization, 3D reconstruction, multi-modal data fusion, geometric modeling, photogrammetry, Structure-from-Motion (SfM), geo-localization, and digital twin. He is particularly interested in how heterogeneous data sources, such as images, LiDAR point clouds, spatiotemporal data, and other sensor observations, can be jointly modeled to support high-precision scene reconstruction, robust localization, spatial understanding, and dynamic digital representation.

His work combines classical geometric modeling and photogrammetric principles with modern deep learning and multimodal perception methods. He has been engaged in research and engineering practice related to 3D modeling and navigation, virtual geographic environments, spatiotemporal big-data platforms, and intelligent digital-twin systems. A key feature of his research is the close integration of theory and real-world applications, with emphasis on scalability, reliability, and deployment in large-scale and complex scenarios.

Sep. 2008 – Jun. 2011 | University of Chinese Academy of Sciences (UCAS) | Ph.D.

Sep. 2003 – Jun. 2006 | Wuhan University | Master's Degree

Jul. 2002 – Aug. 2003 Surveying and Mapping Engineering Institute, China Gezhouba Group | Engineer

Jul. 2006 – Sep. 2012 Institute of Remote Sensing Applications, Chinese Academy of Sciences (IRSA) | Research Assistant, Assistant Researcher

Sep. 2009 – Feb. 2014 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences (RADI) | Assistant Researcher

Feb. 2014 – Jan. 2018 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences (RADI) | Senior Engineer

Jan. 2018 – Present Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS) | Senior Engineer, Professor-level Senior Engineer

   

[1]Banghui Yang, Chunlei Zhou, Suju Li, Yuzhu Wang. A Chinese Named Entity Recognition Method for LandslideGeological Disasters Based on Deep Learning，Engineering Applications of Artificial Intelligence，2024.11(SCI) TOP IF:8.0

[2]Li Hang,Yang Banghui,Meng Yu,Liu Kai,Wang Shudong,Wang Dacheng... & Li Xueke.(2023). Relationship between carbon pool changes and environmental changes in arid and semi-arid steppe-A two decades study in Inner Mongolia, China.The Science of the total environment164930-164930. (SCI）TOP IF:9.8

[3]Shi Chenhui,Li Jing,Gong Jianhua,Yang Banghui & Zhang Guoyong.(2022).An improved lightweight deep neural network with knowledge distillation for local feature extraction and visual localization using images and LiDAR point clouds.ISPRS Journal of Photogrammetry and Remote Sensing177-188.(SCI) TOP IF:13.6

[4]Yong Tang , Jingyi Zhang, Jianhua Gong , Yi Li, Banghui Yang.(2025).City-level aerial geo-localization based on map matching network(2025).ISPRS Journal of Photogrammetry and Remote Sensing.Volume 229.(SCI) TOP IF:13.6

[5]Chen, X., Yang, Y., Xue, W., Li, J., Yang, B., Li, K., & de, L.G. (2025). A Neural Network Method for Ozone Retrieval Using Himawari-8/AHI Geo-Satellite Observations. IEEE Transactions on Geoscience and Remote Sensing, 63, 4103714.(SCI) TOP IF:8.2

[6]Qiang Shen; C. K. Shum; Hansheng Wang; Liming Jiang; Banghui Yang; Chaoyang Zhang;New Intercampaign Bias Estimates for ICESatElevation Data Over Dome A in Antarctica, IEEE Transactions on Geoscience and Remote Sensing, 2023, VOL. 61(4302009): 4302009 (SCI) TOP IF:8.2

[7]Kai Qin ,Jing Li ,Sisi Zlatanova ,Haitao Wu ,Yin Gao ,Yuchen Li ,Sizhe Shen ,Xiangjun Qu ,Zhiyuan Yang ,Zhenxin Zhang ,Banghui Yang Novel UAV-based 3D reconstruction using dense LiDAR point cloud and imagery: A geometry-aware 3D gaussian splatting approach.《International Journal of Applied Earth Observation and Geoinformation》 , 2025 , 140 : 104590(SCI) TOP IF:8.6

[8] Xu, S.; Yang, B.; Wang, R.; Yang, D.; Li, J.; Wei, J. Single Tree Semantic Segmentation from UAV Images Based on Improved U-Net Network. Drones 2025, 9(4), 237; (SCI) （Co-Corresponding Author，IF:5.2

[9]Ma, H.; Yang, B.; Wang, R.; Yu, Q.; Yang, Y.; Wei, J. Automatic Extraction of Discolored Tree Crowns Based on an Improved Faster-RCNN Algorithm. Forests 2025, 16(3), 382; (SCI) （Co-Corresponding Author），IF:2.9

[10]Zhang, C.; Wang, R.; Yang, B.; Yang, L.; Yang, Y.; Liu, F.; Xiong, K. A Direction-Adaptive DBSCAN-Based Method for Denoising ICESat-2 Photon Point Clouds in Forested Environments. Forests 2025, 16(3), 524(SCI) （Co-Corresponding Author），IF:2.9

[11] Wang, X.; Wang, R.; Yang, B.; Yang, L.; Liu, F.; Xiong, K. Simulation-Based Correction of Geolocation Errors in GEDI Footprint Positions Using Monte Carlo Approach. Forests 2025, 16(5), 768(SCI)（Co-Corresponding Author），IF:2.9

[12]Li, H; Liu, K; Yang, BH; Wang, SD; Meng, Y; Wang, DC; Liu, XT; Li, L; Li, DH; Bo, Y; Li, XK (2024). Continuous monitoring of grassland AGB during the growing season through integrated remote sensing: a hybrid inversion framework. INTERNATIONAL JOURNAL OF DIGITAL EARTH, 17(1), 2329817.(SCI) ，IF:5.1

[13]Li, L.; Wang, S.; Bo, Y.; Yang, B.; Li, X.; Liu, K. Spatial-Temporal Evolution and Cooling Effect of Irrigated Cropland in Inner Mongolia Region. Remote Sensing. 2024, 16, 4797.(SCI) ，IF:5.4

[14]Duan, Y.; Bo, Y.; Yao, X.; Chen, G.; Liu, K.; Wang, S.; Yang, B.; Li, X. A Deep Learning Framework for Long-Term Soil Moisture-Based Drought Assessment Across the Major Basins in China. Remote Sens. 2025, 17(6), 1000;(SCI) ，IF:5.4

[15]Yong Tang,Jianhua Gong,Yi Li,Guoyong Zhang,Banghui Yang & Zhiyuan Yang.(2024).Wavelet Transform-Based Inertial Neural Network for Spatial Positioning Using Inertial Measurement Units.Remote Sensing(13),2326-2326.(SCI) ，IF:5.4

[16]Qiang Shen; Hansheng Wang; C. K. Shum; Liming Jiang; Banghui Yang; Chaoyang Zhang; Soil Moisture Retrieval From Multipolarization SAR Data and Potential Hydrological Application, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, VOL. 16(6531): 1-14 (SCI) 2区，IF:5.5

[17]Yang, Zhiyuan; Li, Jing; Wu, Haitao; Zlatanova, Sisi; Wang, Weiwei; Fox, Jonathan; Yang, Banghui; Tang, Yong; Zhang, Ruizhuo; Gong, Jianhua;, Robust and accurate visual geo-localization using prior map constructed by handheld LiDAR SLAM with camera image and terrestrial LiDAR point cloud, International Journal of Digital Earth, 2024, 17(1): 2416468.(SCI)(SCI) ，IF:5.1

[18]He, Yun, Banghui Yang, Haixia He, Xianyun Fei, Xiangtao Fan, and Jian Liu. 2024. "Event Argument Extraction for Rainstorm Disasters Based on Social Media: A Case Study of the 2021 Heavy Rains in Henan" Water 16, no. 23: 3535. (SCI) ，IF:3.4

[19]Yang Zhiyuan,Li Jing,Hyyppä Juha,Gong Jianhua,Liu Jingbin & Yang Banghui.(2023).A comprehensive and up-to-date web-based interactive 3D emergency response and visualization system using Cesium Digital Earth: taking landslide disaster as an example.Big Earth Data(4),1058-1080.(SCI) ，IF:4.0

[20]Lai Weiyu,Shen Qiang,Wang Hansheng,Shum C.K.,Jiang Liming,Yang Banghui... & Liu Tiantian.(2022).InSAR-derived land subsidence in Wuhan between 2015 and 2020.All Earth(1),224-242.(SCI)

[21]Hao Guo,Sheng Chen,Anming Bao,Junjun Hu,Banghui Yang & Phillip M. Stepanian.(2015).Comprehensive Evaluation of High-Resolution Satellite-Based Precipitation Products over China.Atmosphere(1),6.(SCI)

[22]Tingting LV,Zui TAO,Xiang ZHOU,Xiaoyu SUN,Aqiang YANG & Banghui YANG.(2017).A phenology-based classification for crop in Great Mekong Subregion based on MODIS data.IOP Conference Series: Earth and Environmental Science(1),012003-012003.

[23]Yujuan Wang,Shudong Wang,Shengtian Yang,Yuling Zhao,Mingcheng Wang & Banghui Yang.(2014).Application of FY-2 precipitation data in meteorological drought monitoring of the Weihe river basin.World Journal of Engineering(5),487-494.

[24]Zhang Xia,Shuai Tong,Yang Banghui & Zhuang Zhi.(2013).Estimate ecological indicators of karst rocky desertification by spectral unmixing algorithm.Proceedings Volume 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV.

[1] Invention Patent: A Space-Air-Ground Carbon Monitoring System and Method Based on Edge Cloud Computing, 1st Inventor, ZL202310024135.0

[2] Invention Patent: A Comprehensive Space-Air-Ground Monitoring System and Method for Park Carbon Emissions, 1st Inventor, ZL202310024060.6

[3] Invention Patent: A Landslide Monitoring System Based on the Fusion of LiDAR Point Clouds and Video Data, 1st Inventor, ZL202211490977.7

[4] Invention Patent: An Emergency Command and Dispatch System Based on the Fusion of BDS and 3D Real-Scene Data, 1st Inventor, ZL202211466635.1

[5] Invention Patent: An Autonomous Navigation Method and System for Rescue Material Delivery Robots, 1st Inventor, ZL202510282508.3

[6] Invention Patent: A Mine Ecological Environment Monitoring and Restoration System, 1st Inventor, ZL202210173155.X

[7] Invention Patent: A Simulation Method for Geological Mineral Resource Reserves, 1st Inventor, ZL202210272216.8

[8] Invention Patent: A Mine Personnel Positioning Method Based on Digital Twin, 1st Inventor, ZL202210171199.9

[9] Invention Patent: An Automatic Recognition Method and System for Landslide Disasters Based on Deep Learning, 1st Inventor, ZL202211437540.7

[10] Invention Patent: An Online Interactive Autonomous Production Method for Quantitative Remote Sensing Products, 1st Inventor, ZL201610423476.5

[11] Invention Patent: A Blockchain-Based Carbon Footprint Monitoring, Analysis, and Assessment System, 1st Inventor, CN116467366A

[12] Invention Patent: An Archaeological Auxiliary System Based on Airborne Hyperspectral Remote Sensing Data, 1st Inventor, CN116597299A

[13] Invention Patent: An IoT-Based Atmospheric Carbon Concentration Monitoring System, 2nd Inventor, ZL202210309528.1

[14] Invention Patent: A Satellite Remote Sensing-Based Carbon Sink Monitoring System and Method, 2nd Inventor, ZL202210309530.9

[15] Invention Patent: A Comprehensive Situation Analysis Method and System for Low-Carbon Parks, 2nd Inventor, ZL202310024273.9

[16] Invention Patent: A Greenhouse Identification Method and System Based on Remote Sensing Big Data, 2nd Inventor, ZL201910599444.4

[17] Utility Model: A Forest Fire Remote Sensing Information Detection Device, 1st Inventor, ZL202223100558.6

[18] Utility Model: A Hydrological Telemetry and Remote Sensing Equipment for Flood Control, 1st Inventor, ZL202223100415.5

[19] Utility Model: A Forest Fire Detection Device for Satellite Remote Sensing, 1st Inventor, ZL202223100165.5

[20] Utility Model: An Ecological Remote Sensing Detection Device for Soil-Contaminated Areas, 1st Inventor, ZL202223076095.4

[21] Utility Model: An Environmental Protection Monitoring Equipment for Water Body Ecological Restoration, 1st Inventor, ZL202220601232.2

[1]Multi-source Data Fusion

[2]3D realistic geospatial landscape model and Digital twins

[3]Virtual Geographic Environments (VGE)

[4]3D Gaussian Splatting (3DGS) for geospatial applications

[5]Multi-sensor SLAM and Geo-localization

[6]Smart Aerospace Infrastructure

[1] Title of "Outstanding Young Engineer of Beijing", 2017

[2] Tianjin "131" First-Tier Talent Funding, 2018

[3] Second Prize of China Haidian High-Value Patent Cultivation Competition, Ranked 4th, 2024

[4] Second Prize of Disaster Defense Science and Technology Progress Award, Ranked 14th, 2024

[5] Engineering Gold Award of China Association for Geographic Information Society, Ranked 7th, 2023

[6] Second Prize of China Environmental Protection Association Award, Ranked 7th, 2023

[7] Golden Bridge Award of China Technology Association, Ranked 7th, 2023

[8] Excellent Scientific and Technological Achievement Appraisal by China Meteorological Administration, Ranked 8th, 2022

[8] Third Prize of Tianjin Science and Technology Progress Award, Ranked 3rd, 2015

[9] Third Prize of Geographic Information Science and Technology Progress Award, Ranked 6th, 2014

[10] Second Prize of Geographic Information Science and Technology Progress Award, Ranked 2nd, 2013

[11] Second Prize of Geographic Information Science and Technology Progress Award, Ranked 3rd, 2013

[12] Second Prize of Geographic Information Science and Technology Progress Award, Ranked 5th, 2013