Pengfei Liu

According to our database, Pengfei Liu authored at least 35 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multimode Structural Nonconvex Tensor Low-Rank Regularized Hyperspectral Image Destriping and Denoising.

Pengfei Liu, Haijian Long, Kang Ni, Zhizhong Zheng

IEEE Geosci. Remote. Sens. Lett., 2024

2023

Pansharpening With Spatial Hessian Non-Convex Sparse and Spectral Gradient Low Rank Priors.

Pengfei Liu

IEEE Trans. Image Process., 2023

Multiresolution Analysis Pansharpening Based on Variation Factor for Multispectral and Panchromatic Images From Different Times.

Peng Wang, Hongyu Yao, Bo Huang, Henry Leung, Pengfei Liu

IEEE Trans. Geosci. Remote. Sens., 2023

Multiresolution Analysis-Inspired Spatial and Spectral Details Preserved Model for Variational Pansharpening.

Pengfei Liu, Jiahui Liu, Liang Xiao, Zhizhong Zheng

IEEE Trans. Geosci. Remote. Sens., 2023

A Novel Tensor-Based Hyperspectral Image Restoration Method With Low-Rank Modeling in Gradient Domains.

Pengfei Liu, Lanlan Liu, Liang Xiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Hyperspectral Image Destriping and Denoising with Spectral Low Rank and Tensor Nuclear Norm.

Pengfei Liu, Lanlan Liu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

A Nonconvex Pansharpening Model With Spatial and Spectral Gradient Difference-Induced Nonconvex Sparsity Priors.

Pengfei Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2022

A Unified Pansharpening Method With Structure Tensor Driven Spatial Consistency and Deep Plug-and-Play Priors.

Pengfei Liu, Jiahui Liu, Liang Xiao

IEEE Trans. Geosci. Remote. Sens., 2022

Spectral Gradient Fidelity and Spatial Hessian Hyper-Laplacian Sparsity Constraints for Variational Pansharpening.

Pengfei Liu, Yun Li

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

High-Resolution SAR Image Classification Using Subspace Wavelet Encoding Network.

Kang Ni, Pengfei Liu, Peng Wang

IEEE Geosci. Remote. Sens. Lett., 2022

Spatial and Spectral Anisotropic Tensor Total Variation-Driven Adaptive Pansharpening.

Pengfei Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Pansharpening with Spatial Hyper-Laplacian and Spectral Sparse Constraints.

Pengfei Liu, Songze Tang, Lili Huang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Compact Global-Local Convolutional Network With Multifeature Fusion and Learning for Scene Classification in Synthetic Aperture Radar Imagery.

Kang Ni, Pengfei Liu, Peng Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

2020

Hybrid higher-order total variation model for multiplicative noise removal.

Pengfei Liu

IET Image Process., 2020

2019

Multicomponent Driven Consistency Priors for Simultaneous Decomposition and Pansharpening.

Pengfei Liu, Liang Xiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Pansharpening with transform-based gradient transferring model.

Pengfei Liu

IET Image Process., 2019

Joint Spectral and Spatial Consistency Priors for Variational Pansharpening.

Pengfei Liu

IEEE Access, 2019

A Multi-Scale Densely Deep Learning Method for Pansharpening.

Zhikang Xiang, Liang Xiao, Pengfei Liu, Yufei Zhang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Data Augmentation and Refining with Steering Stencils for Supervised Classification of Hyperspectral Image.

Qichao Liu, Liang Xiao, Pengfei Liu, Nan Huang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

A Variational Pan-Sharpening Method Based on Spatial Fractional-Order Geometry and Spectral-Spatial Low-Rank Priors.

Pengfei Liu, Liang Xiao, Tao Li

IEEE Trans. Geosci. Remote. Sens., 2018

Normal curvature-induced variational model for image restoration.

Pengfei Liu, Liang Xiao, Tao Li

IET Image Process., 2018

A Novel Hyperspectral Image Clustering Method With Context-Aware Unsupervised Discriminative Extreme Learning Machine.

Jinhuan Xu, Heng Li, Pengfei Liu, Liang Xiao

IEEE Access, 2018

A Novel Generalized Intensity-Hue-Saturation (GIHS) Based Pan-Sharpening Method With Variational Hessian Transferring.

Pengfei Liu, Liang Xiao

IEEE Access, 2018

Pan-Sharpening with Hessian Nuclear Norm Induced Spatial Consistency.

Pengfei Liu, Liang Xiao, Songze Tang

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Discriminative Pixel-Pairwise Constraint-Guided Extreme Learning Machine for Semi-Supervised Hyperspectral Image Classification.

Jinhuan Xu, Pengfei Liu, Le Sun, Liang Xiao

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2016

Spatial-Hessian-Feature-Guided Variational Model for Pan-Sharpening.

Pengfei Liu, Liang Xiao, Jun Zhang, Bushra Naz

IEEE Trans. Geosci. Remote. Sens., 2016

A New Geometry Enforcing Variational Model for Pan-Sharpening.

Pengfei Liu, Liang Xiao, Songze Tang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

A fast higher degree total variation minimization method for image restoration.

Pengfei Liu, Liang Xiao, Jun Zhang

Int. J. Comput. Math., 2016

Fractional order variational pan-sharpening.

Pengfei Liu, Liang Xiao, Songze Tang, Le Sun

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

Efficient multiplicative noise removal method using isotropic second order total variation.

Pengfei Liu, Liang Xiao

Comput. Math. Appl., 2015

Joint dictionary learning with ridge regression for pansharpening.

Songze Tang, Liang Xiao, Bushra Naz, Pengfei Liu, Yufeng Chen

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

A new variational method for pan-sharpening.

Pengfei Liu, Liang Xiao, Songze Tang

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Coupled learning based on singular-values-unique and hog for face hallucination.

Songze Tang, Liang Xiao, Pengfei Liu, Huicong Wu

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Edge and color preserving single image superresolution.

Songze Tang, Liang Xiao, Pengfei Liu, Jun Zhang, Lili Huang

J. Electronic Imaging, 2014

Partial least-squares regression on common feature space for single image superresolution.

Songze Tang, Liang Xiao, Pengfei Liu, Huicong Wu

J. Electronic Imaging, 2014