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ORCIDPengfei Liu 0002
Person information
- affiliation: Nanjing University of Posts and Telecommunications, School of Computer Science, China
Other persons with the same name
- Pengfei Liu (aka: PengFei Liu, Pengfeï Liu, Peng-Fei Liu) — disambiguation page
- Pengfei Liu 0001 — University of Bordeaux, France
- Pengfei Liu 0003
![[0000-0001-9030-1875]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9030-1875")
— Shanghai Jiao Tong University, Generative AI Research Lab (GAIR), China (and 2 more)
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2020 – today
- 2025
[j29]Pengfei Liu, Zhizhong Zheng, Shangdong Zheng, Liang Xiao:
Graph-Based Tensor Bayesian Multispectral Image Fusion With Nonconvex Tensor Rank Minimization Model. IEEE Trans. Instrum. Meas. 74: 1-13 (2025)- 2024
- [j28]Pengfei Liu, Haijian Long, Kang Ni, Zhizhong Zheng:
Multimode Structural Nonconvex Tensor Low-Rank Regularized Hyperspectral Image Destriping and Denoising. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j27]Pengfei Liu, Zhizhong Zheng:
Pansharpening via Double Nonconvex Tensor Low-Tubal-Rank Priors. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j26]Shangdong Zheng, Zebin Wu, Yang Xu, Pengfei Liu, Peng Zheng, Zhihui Wei:
Patchwise Temporal-Spatial Feature Aggregation Network for Object Detection in Satellite Video. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j25]Pengfei Liu, Zhizhong Zheng, Liang Xiao:
Adaptive Spatial Structure-Aware and Spectral Gradient Structure Tensor-Guided Model for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - 2023
- [j24]Pengfei Liu, Lanlan Liu, Liang Xiao:
A Novel Tensor-Based Hyperspectral Image Restoration Method With Low-Rank Modeling in Gradient Domains. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 581-597 (2023) - [j23]Pengfei Liu, Jiahui Liu, Liang Xiao, Zhizhong Zheng:
Multiresolution Analysis-Inspired Spatial and Spectral Details Preserved Model for Variational Pansharpening. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j22]Peng Wang, Hongyu Yao, Bo Huang, Henry Leung, Pengfei Liu:
Multiresolution Analysis Pansharpening Based on Variation Factor for Multispectral and Panchromatic Images From Different Times. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j21]Pengfei Liu:
Pansharpening With Spatial Hessian Non-Convex Sparse and Spectral Gradient Low Rank Priors. IEEE Trans. Image Process. 32: 2120-2131 (2023) - [c10]Pengfei Liu, Lanlan Liu:
Hyperspectral Image Destriping and Denoising with Spectral Low Rank and Tensor Nuclear Norm. IGARSS 2023: 7304-7307 - 2022
- [j20]Pengfei Liu:
Spatial and Spectral Anisotropic Tensor Total Variation-Driven Adaptive Pansharpening. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j19]Kang Ni, Pengfei Liu, Peng Wang:
High-Resolution SAR Image Classification Using Subspace Wavelet Encoding Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j18]Pengfei Liu, Yun Li:
Spectral Gradient Fidelity and Spatial Hessian Hyper-Laplacian Sparsity Constraints for Variational Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6086-6098 (2022) - [j17]Pengfei Liu, Jiahui Liu, Liang Xiao:
A Unified Pansharpening Method With Structure Tensor Driven Spatial Consistency and Deep Plug-and-Play Priors. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j16]Pengfei Liu, Liang Xiao:
A Nonconvex Pansharpening Model With Spatial and Spectral Gradient Difference-Induced Nonconvex Sparsity Priors. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c9]Pengfei Liu, Songze Tang, Lili Huang:
Pansharpening with Spatial Hyper-Laplacian and Spectral Sparse Constraints. IGARSS 2022: 3762-3765 - 2021
- [j15]Kang Ni, Pengfei Liu, Peng Wang:
Compact Global-Local Convolutional Network With Multifeature Fusion and Learning for Scene Classification in Synthetic Aperture Radar Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 7284-7296 (2021) - 2020
- [j14]Pengfei Liu:
Hybrid higher-order total variation model for multiplicative noise removal. IET Image Process. 14(5): 862-873 (2020)
2010 – 2019
- 2019
- [j13]Pengfei Liu:
Joint Spectral and Spatial Consistency Priors for Variational Pansharpening. IEEE Access 7: 174847-174858 (2019) - [j12]Pengfei Liu:
Pansharpening with transform-based gradient transferring model. IET Image Process. 13(13): 2614-2622 (2019) - [j11]Pengfei Liu, Liang Xiao:
Multicomponent Driven Consistency Priors for Simultaneous Decomposition and Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(11): 4589-4605 (2019) - [c8]Qichao Liu, Liang Xiao, Pengfei Liu, Nan Huang:
Data Augmentation and Refining with Steering Stencils for Supervised Classification of Hyperspectral Image. IGARSS 2019: 2746-2749 - [c7]Zhikang Xiang, Liang Xiao, Pengfei Liu, Yufei Zhang:
A Multi-Scale Densely Deep Learning Method for Pansharpening. IGARSS 2019: 2786-2789 - 2018
- [j10]Jinhuan Xu, Heng Li, Pengfei Liu, Liang Xiao:
A Novel Hyperspectral Image Clustering Method With Context-Aware Unsupervised Discriminative Extreme Learning Machine. IEEE Access 6: 16176-16188 (2018) - [j9]Pengfei Liu, Liang Xiao:
A Novel Generalized Intensity-Hue-Saturation (GIHS) Based Pan-Sharpening Method With Variational Hessian Transferring. IEEE Access 6: 46751-46761 (2018) - [j8]Pengfei Liu, Liang Xiao, Tao Li:
Normal curvature-induced variational model for image restoration. IET Image Process. 12(5): 679-689 (2018) - [j7]Pengfei Liu, Liang Xiao, Tao Li:
A Variational Pan-Sharpening Method Based on Spatial Fractional-Order Geometry and Spectral-Spatial Low-Rank Priors. IEEE Trans. Geosci. Remote. Sens. 56(3): 1788-1802 (2018) - [c6]Jinhuan Xu, Pengfei Liu, Le Sun, Liang Xiao:
Discriminative Pixel-Pairwise Constraint-Guided Extreme Learning Machine for Semi-Supervised Hyperspectral Image Classification. ICIP 2018: 1518-1522 - [c5]Pengfei Liu, Liang Xiao, Songze Tang:
Pan-Sharpening with Hessian Nuclear Norm Induced Spatial Consistency. IGARSS 2018: 5116-5119 - 2016
- [j6]Pengfei Liu, Liang Xiao, Jun Zhang:
A fast higher degree total variation minimization method for image restoration. Int. J. Comput. Math. 93(8): 1383-1404 (2016) - [j5]Pengfei Liu, Liang Xiao, Songze Tang:
A New Geometry Enforcing Variational Model for Pan-Sharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5726-5739 (2016) - [j4]Pengfei Liu, Liang Xiao, Jun Zhang, Bushra Naz:
Spatial-Hessian-Feature-Guided Variational Model for Pan-Sharpening. IEEE Trans. Geosci. Remote. Sens. 54(4): 2235-2253 (2016) - [c4]Pengfei Liu, Liang Xiao, Songze Tang, Le Sun:
Fractional order variational pan-sharpening. IGARSS 2016: 2602-2605 - 2015
- [j3]Pengfei Liu, Liang Xiao:
Efficient multiplicative noise removal method using isotropic second order total variation. Comput. Math. Appl. 70(8): 2029-2048 (2015) - [c3]Songze Tang, Liang Xiao, Pengfei Liu, Huicong Wu:
Coupled learning based on singular-values-unique and hog for face hallucination. ICASSP 2015: 1315-1319 - [c2]Pengfei Liu, Liang Xiao, Songze Tang:
A new variational method for pan-sharpening. IGARSS 2015: 597-600 - [c1]Songze Tang, Liang Xiao, Bushra Naz, Pengfei Liu, Yufeng Chen:
Joint dictionary learning with ridge regression for pansharpening. IGARSS 2015: 613-616 - 2014
- [j2]Songze Tang, Liang Xiao, Pengfei Liu, Jun Zhang, Lili Huang:
Edge and color preserving single image superresolution. J. Electronic Imaging 23(3): 033002 (2014) - [j1]Songze Tang, Liang Xiao, Pengfei Liu, Huicong Wu:
Partial least-squares regression on common feature space for single image superresolution. J. Electronic Imaging 23(5): 053006 (2014)
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