徐昇

徐昇

工学博士, 副教授, 硕导

Graduate Students’ Publications

Published in 指导研究生发表论文, 2099

  1. Zhaowei Shao, Kunyu He, Baohua Yuan, and Sheng Xu (*). Enhanced YOLOv8 framework for precision vehicle detection in high-resolution remote sensing images, Signal, Image and Video Processing, 2024, Accepted, https:// doi.org/10.5281/zenodo.13075939 .

  2. Hongxin Yang, Shanshan Xu and Sheng Xu (*), A Self-Supervised Pretraining Framework for Context-Aware Building Edge Extraction From 3-D Point Clouds, IEEE Geoscience and Remote Sensing Letters, vol. 22, pp. 1-5, 2025, Art no. 6500205, doi: 10.1109/LGRS.2024.3514857.

  3. He, Bingnan, Dongyang Wu, Li Wang, and Sheng Xu (*). 2024. FA-HRNet: A New Fusion Attention Approach for Vegetation Semantic Segmentation and Analysis, Remote Sensing, 2024.11, 16, no. 22: 4194. https://doi.org/10.3390/rs16224194

  4. Chi, Yue, Chenxi Wang, Zhulin Chen, and Sheng Xu (*). TCSNet: A New Individual Tree Crown Segmentation Network from Unmanned Aerial Vehicle Images, Forests, 2024.10, 15, no. 10: 1814. https://doi.org/10.3390/f15101814

  5. Wanjie Liu, Xu Sheng (*). CF-YOLO: a capable forest fire identification algorithm founded on YOLOv7 improvement. SIViP 18, 6007–6017, 2024. https://doi.org/10.1007/s11760-024-03288-w.

  6. Zirui Shen, Xu Sheng (*). DS-SwinUNet: Redesigning Skip Connection with Double Scale Attention for Land Cover Semantic Segmentation. Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024.11. https://10.1109/JSTARS.2024.3496725

  7. Lei Cao, Xu Sheng (*). Efficient forest fire detection based on an improved YOLO model. Visual Intelligence, 2, 20, 2024. https://doi.org/10.1007/s44267-024-00053-y. (中国科技期刊卓越行动计划高起点新刊).

  8. Li Xin, Xuan Zhou, Xu Sheng(*). Three-Dimensional Tree Modeling Based on the Skeleton Path Optimization and Geometrical Cones, International Journal of Interactive Multimedia and Artificial Intelligence, 2024.06, Accepted.

  9. Li Xin, Xu Sheng(*). Individual Tree Reconstruction Based on Circular Truncated Cones From Portable LiDAR Scanner Data, IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023.

  10. Han Wen, Cao Lei, Sheng Xu(*). A Method of the Coverage Ratio of Street Trees Based on Deep Learning. International Journal of Interactive Multimedia and Artificial Intelligence,7.5 (2022).DOI: 10.9781/ijimai.2022.07.003.

  11. 曹磊,王珺瑶,朱俊杰,徐昇(*). 基于深度学习技术的高分辨率遥感图像的车流量统计,江苏大学学报(自然科学版),2023,44(05):570-576.（SCD&北大核心）

  12. Xinyu Sun, Sheng Xu, Weicheng Hua, Jiarong Tian, Yannan Xu(*). Feasibility study on the estimation of the living vegetation volume of individual street trees using terrestrial laser scanning[J]. Urban Forestry & Urban Greening, 71, 2022

  13. 孙心雨, 田佳榕, 徐雁南(*), 徐昇, 李海东. 基于地基激光雷达的道路生态景观评价:以黄海海滨国家森林公园为例. 生态与农村环境学报,2020,36(11):1477-1484.