Dr. Shiming Li l Algorithm Development | Best Researcher Award
North China University of Water Resources and Electric Power, China
Author Profile
Early Academic Pursuits
Dr. Shiming Li began his academic journey with a strong foundation in Surveying and Mapping Science and Technology. He earned his Ph.D. in 2021 from Southwest Jiaotong University, Chengdu, China, where his research laid the groundwork for innovations in geospatial data integration and 3D modeling. His early interest in integrating diverse data sources shaped his career trajectory, leading to groundbreaking studies in multi-type point cloud data fusion.
Professional Endeavors
Currently, Dr. Li serves as a Lecturer and Master Tutor at the College of Surveying and Geo-informatics, North China University of Water Resources and Electric Power, Zhengzhou, China. In this capacity, he mentors aspiring professionals and collaborates on projects aimed at enhancing urban and water environment monitoring using advanced geoinformatics tools.
Contributions and Research Focus
Dr. Liβs research revolves around the fusion of multi-type point cloud data obtained from drones, vehicles, backpacks, and handheld devices. His work addresses critical challenges in three-dimensional reconstruction of complex structures and intelligent scene recognition. By leveraging cutting-edge techniques, he has contributed to monitoring urban and aquatic environments, enabling more efficient and accurate spatial analysis.
Impact and Influence
Dr. Liβs innovative research has advanced the field of surveying and mapping, particularly in urban planning and environmental monitoring. His studies have practical applications in designing sustainable infrastructure and improving disaster management strategies. His influence extends beyond academia, benefiting industries focused on spatial data and urban development.
Academic Contributions
Dr. Li has authored and contributed to several peer-reviewed articles and conference papers, earning citations in prominent journals. His work is widely recognized for its technical rigor and relevance, making significant strides in geoinformatics research.
Technical Skills
Dr. Li is proficient in cutting-edge geospatial technologies and software for data integration and analysis, including GIS tools, point cloud processing platforms, and 3D modeling frameworks. His technical expertise supports his research in creating precise and scalable solutions for complex spatial challenges.
Teaching Experience
As a lecturer, Dr. Li is dedicated to shaping the next generation of geoinformatics professionals. He combines theory with practical applications in his teaching, inspiring students to explore innovative solutions in surveying and mapping. His mentorship extends to graduate students, helping them tackle advanced research problems.
Legacy and Future Contributions
Dr. Shiming Li is poised to leave a lasting legacy in the field of surveying and geoinformatics. His future endeavors aim to further enhance the integration of multi-source spatial data for intelligent scene recognition and complex structural reconstruction. By continuing to push the boundaries of geospatial research, he is set to contribute to the sustainable development of urban and water environments globally.
Top Noted Publications
Object-Level Contrastive-Learning-Based Multi-Branch Network for Building Change Detection from Bi-Temporal Remote Sensing Images
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- Authors: Shiming Li, Fengtao Yan, Cheng Liao, Qingfeng Hu, Kaifeng Ma, Wei Wang, Hui Zhang
- Journal: Remote Sensing
- Year: 2025
Optimal Feature-Guided Position-Shape Dual Optimization for Building Point Cloud Facade Detail Enhancement
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- Authors: Shiming Li, Fengtao Yan, Kaifeng Ma, Qingfeng Hu, Feng Wang, Wenkai Liu
- Journal: Remote Sensing
- Year: 2024
Study on the Influence of Label Image Accuracy on the Performance of Concrete Crack Segmentation Network Models
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- Authors: Kaifeng Ma, Mengshu Hao, Wenlong Shang, Jinping Liu, Junzhen Meng, Qingfeng Hu, Peipei He, Shiming Li
- Journal: Sensors
- Year: 2024
OFFS-Net: Optimal Feature Fusion-Based Spectral Information Network for Airborne Point Cloud Classification
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- Authors: Peipei He, Kejia Gao, Wenkai Liu, Wei Song, Qingfeng Hu, Xingxing Cheng, Shiming Li
- Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Year: 2023
Spatiotemporal Information Mining for Emergency Response of Urban Flood Based on Social Media and Remote Sensing Data
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- Authors: Hui Zhang, Hao Jia, Wenkai Liu, Junhao Wang, Dehe Xu, Shiming Li, Xianlin Liu
- Journal: Remote Sensing
- Year: 2023
TerraSAR-X and GNSS Data for Deformation Detection and Mechanism Analysis of a Deep Excavation Channel Section of the China SouthβNorth Water-Diversion Project
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- Authors: Qingfeng Hu, Yingchao Kou, Jinping Liu, Wenkai Liu, Jiuyuan Yang, Shiming Li, Peipei He, Xianlin Liu, Kaifeng Ma, Yifan Li, et al.
- Journal: Remote Sensing
- Year: 2023
Multilevel Feature Aggregated Network with Instance Contrastive Learning Constraint for Building Extraction
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- Authors: Li Shiming, Tingrui Bao, Hui Liu, Rongxin Deng, Hui Zhang
- Journal: Remote Sensing
- Year: 2023