dblp: Dan Ye 0008 (original) (raw)

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• > Home > Persons

Person information

• affiliation: Tongji University, College of Surveying and Geo-Informatics, Shanghai, China

Other persons with the same name

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• Dan Ye — disambiguation page

• Dan Ye 0001 — Northeastern University, State Key Laboratory of Synthetical Automation of Process Industries, College of Information Science and Engineering, China

• Dan Ye 0002 — National Taiwan University, Department of Computer Science and Information Engineering, Taipei, Taiwan

• Dan Ye 0003 — University of Georgia, Athens, GA, USA

• Dan Ye 0004 — Chinese Academy of Sciences, State Key Lab of Computer Sciences, Institute of Software, Beijing, China (and 1 more)

• Dan Ye 0005 — Anhui Wenda University of Information Engineering, College of Electronic and Electrical Engineering, Hefei, China

• Dan Ye 0006 — Sichuan University of Science and Engineering, School of Automation and Information Engineering, Yibin, China

• Dan Ye 0007 — University of Electronic Science and Technology of China, Chengdu, China

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2020 – today

• 2023
• 
  [j3]
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    Jun Liu, Jingyun Liu, Huan Xie, Dan Ye, Peinan Li:
    A Multi-Level Auto-Adaptive Noise-Filtering Algorithm for Land ICESat-2 Photon-Counting Data. Remote. Sens. 15(21): 5176 (2023)
• 2022
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  [j2]
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    Huan Xie, Dan Ye, Qi Xu, Yuan Sun, Peiqi Huang, Xiaohua Tong, Yalei Guo, Xiaoshuai Liu, Shijie Liu:
    A Density-Based Adaptive Ground and Canopy Detecting Method for ICESat-2 Photon-Counting Data. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022)
• 2021
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  [j1]
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    Huan Xie, Qi Xu, Dan Ye, Jianghao Jia, Yuan Sun, Peiqi Huang, Ming Li, Shijie Liu, Feng Xie, Xiaolong Hao, Xiaohua Tong:
    A Comparison and Review of Surface Detection Methods Using MBL, MABEL, and ICESat-2 Photon-Counting Laser Altimetry Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 7604-7623 (2021)

2010 – 2019

• 2019
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  [c1]
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    Dan Ye, Huan Xie, Xiaohua Tong, Zhong Zhang, Ming Li:
    The Comparison of Denoising Methods for Photon Counting Laser Altimeter Data. IGARSS 2019: 8478-8480

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