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ORCIDFang Yang 0005
Person information
- affiliation: Wuhan University of Science and Technology, Engineering Research Center of Metallurgical Automation and Measurement Technology, Wuhan, China
Other persons with the same name
- Fang Yang — disambiguation page
- Fang Yang 0001
![[0000-0003-3575-5086]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3575-5086")
— Tsinghua University, Beijing National Research Center for Information Science and Technology, Beijing, China (and 1 more) - Fang Yang 0002 — Xi'an University of Science and Technology, School of Electrical and Control Engineering, Xi'an, China
- Fang Yang 0003 — Kunming University of Science and Technology, Faculty of Transportation Engineering, Kunming, China (and 1 more)
- Fang Yang 0004 — Hebei University, School of Cyber Security and Computer, Baoding, China
- Fang Yang 0006 — Peking University, Institute of Microelectronics, Beijing, China
- Fang Yang 0007 — University of Iowa, Iowa City, IA, USA
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2020 – today
- 2024
[j9]Jing Huang, Yinghao Zhang, Fang Yang, Li Chai:
Attention-Guided Fusion and Classification for Hyperspectral and LiDAR Data. Remote. Sens. 16(1): 94 (2024)- [j8]Jing Huang, Fang Yang, Li Chai:
Multimodal Remote Sensing Image Registration Based on Adaptive Spectrum Congruency. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 14965-14981 (2024) - 2023
- [j7]Jing Huang, Fang Yang, Li Chai:
Robust Registration of Multimodal Remote Sensing Images With Spectrum Congruency. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 5103-5114 (2023) - [j6]Fang Yang, Xin Chen, Zhi Zhang, Li Chai:
Denoising and Destriping Hyperspectral Images Using Double Graph Laplacian Regularizers. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10406-10419 (2023) - [j5]Xin Su, Zhi Zhang, Fang Yang:
Fast Hyperspectral Image Denoising and Destriping Method Based on Graph Laplacian Regularization. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - 2022
- [j4]Zhi Zhang, Fang Yang:
Hyperspectral image denoising and destriping based on sparse representation, graph Laplacian regularization and stripe low-rank property. EURASIP J. Adv. Signal Process. 2022(1): 96 (2022) - 2021
- [j3]Fang Yang, Xin Chen, Li Chai:
Optimal graph edge weights driven nlms with multi-layer residual compensation. EURASIP J. Adv. Signal Process. 2021(1): 1-16 (2021) - [j2]Fang Yang, Xin Chen, Li Chai:
Hyperspectral Image Destriping and Denoising Using Stripe and Spectral Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation. Remote. Sens. 13(4): 827 (2021)
2010 – 2019
- 2018
- [c4]Fang Yang, Li Chai, Da Chen, Laurent D. Cohen:
Geodesic via Asymmetric Heat Diffusion Based on Finsler Metric. ACCV (5) 2018: 371-386 - 2017
- [c3]Fang Yang, Alfred M. Bruckstein, Laurent D. Cohen:
PointFlow: A Model for Automatically Tracing Object Boundaries and Inferring Illusory Contours. EMMCVPR 2017: 485-498 - [c2]Fang Yang, Laurent D. Cohen, Alfred M. Bruckstein:
A model for automatically tracing object boundaries. ICIP 2017: 2692-2696 - [c1]Fang Yang, Laurent D. Cohen:
Tubular Structure Segmentation Based on Heat Diffusion. SSVM 2017: 54-65 - 2016
- [j1]Fang Yang, Laurent D. Cohen:
Geodesic Distance and Curves Through Isotropic and Anisotropic Heat Equations on Images and Surfaces. J. Math. Imaging Vis. 55(2): 210-228 (2016)
Coauthor Index
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