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Feifei Tang
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2020 – today
- 2024
- [j4]Lin He, Yibin Yao
, Chaoqian Xu
A New Global ZTD Forecast Model Based on Improved LSTM Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9606-9614 (2024) - [j3]Huan Zhang
A Novel Multilayer Perceptron-Based Nonmeteorological Parameters PWV Retrieval Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-9 (2024) - 2023
- [j2]Na Lin, Di Zhang
Rapid Landslide Extraction from High-Resolution Remote Sensing Images Using SHAP-OPT-XGBoost. Remote. Sens. 15(15): 3901 (2023) - 2022
- [j1]Fei Lei, Hengyu Zhu
Drowning behavior detection in swimming pool based on deep learning. Signal Image Video Process. 16(6): 1683-1690 (2022) - [c8]Feifei Tang, Cheng Shen, Aobo An, Yun Wan:
Research on Fusion and Registration Method for High-Resolution Satellite Image and Vehicle Lidar Data. IGARSS 2022: 3303-3306 - [c7]Aobo An, Maolin Chen, Lidu Zhao, Hongzhou Zhu, Feifei Tang:
Density Adaptive Plane Segmentation from Long-Range Terrestrial Laser Scanning Data. IGARSS 2022: 7511-7514 - [c6]Feifei Tang, Juhui Wang, Zhangpeng Wang, Min Xiao:
Research on Ransac Filtering Optimization Method of Steel Structure Buildings Based on Morphological Features. IGARSS 2022: 7673-7676 - 2021
- [c5]Zongbao Liang, Liu Yang, YunFei Yuan, Bo Chen, Feifei Tang:
Clothing retrieval based by image and text combination. ICSAI 2021: 1-6 - 2020
- [c4]Feifei Tang, Zhimin Ruan, Maolin Chen, Jingxiang Hu, Tianjun Tang:
Research on 3D Real Scene Planning Method for Mine Reforestation. IGARSS 2020: 889-892 - [c3]Maolin Chen, Feifei Tang, Jianping Pan:
Using Polar Grid for Building Extraction in Terrestrial Laser Scanning Data. IGARSS 2020: 1632-1634 - [c2]Maolin Chen
Registration of Multi-scan Forest Terrestrial Laser Scanning Data Integrated with Smartphone. W2GIS 2020: 83-89
2010 – 2019
- 2015
- [c1]Feifei Tang, Zejun Xiang, Degui Teng, Bo Hu, Yiduo Bai:
A multilevel change detection method for buildings using laser scanning data and GIS data. DSP 2015: 1011-1015
Coauthor Index
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last updated on 2024-10-04 20:01 CEST by the dblp team
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