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ORCIDFeng Gu 0002
Person information
- affiliation: Chinese Academy of Sciences, Aerospace Information Research Institute, Key Laboratory of Digital Earth Science, Beijing, China
- affiliation: University of Chinese Academy of Sciences, College of Resources and Environment, Beijing, China
Other persons with the same name
- Feng Gu — disambiguation page
- Feng Gu 0001
![[0000-0001-5337-4282]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5337-4282")
— College of Staten Island, CUNY, Staten Island, NY, USA - Feng Gu 0003 — Shandong University, State Key Laboratory of Crystal Materials, Jinan, China
- Feng Gu 0004 — Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, Shenyang, China (and 1 more)
- Feng Gu 0005 — University of Science and Technology of China, CAS Key Laboratory of Brain Function and Disease, Hefei, China
- Feng Gu 0006 — University of Leeds, Leeds, UK
- Feng Gu 0007 — Clausthal University of Technology, Clausthal-Zellerfeld, Germany
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2020 – today
- 2022
[j3]Liutong Li, Hong Zhang, Yixian Tang, Chao Wang, Feng Gu:
InSAR Phase Unwrapping by Deep Learning Based on Gradient Information Fusion. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)- 2020
- [j2]Feng Gu, Hong Zhang, Chao Wang:
A Two-Component Deep Learning Network for SAR Image Denoising. IEEE Access 8: 17792-17803 (2020) - [j1]Lichuan Zou, Hong Zhang, Chao Wang, Fan Wu, Feng Gu:
MW-ACGAN: Generating Multiscale High-Resolution SAR Images for Ship Detection. Sensors 20(22): 6673 (2020)
2010 – 2019
- 2019
- [c2]Feng Gu, Hong Zhang, Chao Wang, Fan Wu:
SAR Image Super-Resolution Based on Noise-Free Generative Adversarial Network. IGARSS 2019: 2575-2578 - 2018
- [c1]Feng Gu, Hong Zhang, Chao Wang:
A Classification Method for Polsar Images using SLIC Superpixel Segmentation and Deep Convolution Neural Network. IGARSS 2018: 6671-6674
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