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ORCIDPeng Liu 0024
Person information
- affiliation (PhD 2009): Chinese Academic of Science, Institute of Remote Sensing and Digital Earth, Beijing, China
Other persons with the same name
- Peng Liu — disambiguation page
- Peng Liu 0001 — Microsoft Research Asia, Beijing, China
- Peng Liu 0002 — FZI Forschungszentrum Informatik an der Universität Karlsruhe, Germany
- Peng Liu 0003
![[0000-0002-2529-8726]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2529-8726")
— Southern University of Science and Technology, Shenzhen, China (and 2 more) - Peng Liu 0004 — Shenyang University of Technology, School of Management, China
- Peng Liu 0005 — Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA (and 2 more)
- Peng Liu 0006 — PLA University of Science and Technology, Institute of Command Automation, Nanjing, China
- Peng Liu 0007 — Iowa State University, Department of Statistics, Ames, IA, USA (and 1 more)
- Peng Liu 0008 — Harbin Institute of Technology, Pattern Recognition and Intelligent System Research Center, China
- Peng Liu 0009 — Beijing Institute of Technology, School of Mechanical Engineering, China
- Peng Liu 0010 — Purdue University, USA (and 3 more)
- Peng Liu 0011 — Trinity College Dublin, Ireland
- Peng Liu 0012 — California State University, Fullerton, CA, USA (and 1 more)
- Peng Liu 0013 — China University of Mining and Technology, CUMT-IoT Perception Mine Research Center, Xuzhou, China
- Peng Liu 0014 — Lanzhou University, School of Management, Lanzhou, China
- Peng Liu 0015 — Queen's University, Department of Electr. & Comput. Engineering, Kingston, ON, Canada
- Peng Liu 0016 — Zhejiang University, Department of Information Science and Electronic Engineering, Hangzhou, China
- Peng Liu 0017 — Xidian University, Key Laboratory of Ministry of Education for Electronic Equipment Structure Design, Xian, China
- Peng Liu 0018 — NXP Semiconductors Austria GmbH, Gratkorn, Austria (and 2 more)
- Peng Liu 0019 — Fudan University, Key Laboratory of Wave Scattering and Remote Sensing Information, Shanghai, China (and 1 more)
- Peng Liu 0020 — PLA University of Science and Technology, Department of Network Engineering, Nanjing, China
- Peng Liu 0021 — Huazhong University of Science and Technology, School of Electric and Electronic Engineering, Wuhan, China
- Peng Liu 0022 — Southeast University, School of Automation, Nanjing, China
- Peng Liu 0023 — Jilin University, School of Computer Science and Technology, Changchun, China
- Peng Liu 0025 — Norwegian University of Science and Technology, Department of Computer Science, Trondheim, Norway
- Peng Liu 0026 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Peng Liu 0027 — Hangzhou Dianzi University, School of Computer Science and Technology, National Demonstration Center for Experimental Computer Education, China (and 1 more)
- Peng Liu 0028 — Beijing University of Technology, College of Metropolitan Transportation, China
- Peng Liu 0029 — Jiangnan Institute of Computing Technology, Wuxi, China
- Peng Liu 0030 — Tianjin University, Department of Industrial Engineering, College of Management and Economics, China (and 1 more)
- Peng Liu 0031 — Pennsylvania State University, Department of Electrical Engineering, University Park, PA, USA
- Peng Liu 0032 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Peng Liu 0033 — Chinese Academy of Science, Institute of Acoustics, Key Laboratory of Information Technology for Autonomous Underwater Vehicles, Beijing, China
- Peng Liu 0034 — University of Newcastle Upon Tyne, UK
- Peng Liu 0035 — Harbin Engineering University, College of Computer Science and Technology, Harbin, China
- Peng Liu 0036 — Ocean University of China, Computing Center, Qingdao, China
- Peng Liu 0037 — University of Florida, J. Crayton Pruitt Family Department of Biomedical Engineering, Gainesvill, FL, USA
- Peng Liu 0038 — Zhengzhou University of Light Industry, College of Electronic and Information Engineering, Zhengzhou, China (and 1 more)
- Peng Liu 0039 — Qualcomm AI (and 1 more)
- Peng Liu 0040 — North China Electric Power University, School of Electrical and Electronic Engineering, Beijing, China
- Peng Liu 0041 — University of Wisconsin-Madison, Department of Computer Sciences, Madison, WI, USA
- Peng Liu 0042 — China University of Petroleum, College of Mechanical and Electronic Engineering, Qingdao, China
- Peng Liu 0043 — University of Lausanne, Department of Actuarial Science, Lausanne, Switzerland
- Peng Liu 0044 — Guangxi Normal University, School of Computer Science and Information Technology, Guangxi Key Lab of Multi-Source Information Mining and Security, Guilin, China (and 1 more)
- Peng Liu 0045 — Guangdong University of Technology, School of Computers, Guangzhou, China (and 1 more)
- Peng Liu 0046 — Chinese Academy of Sciences, Institute of Acoustics, Haikou Laboratory, Haikou, China
- Peng Liu 0047 — Huawei Technologies, Wireless Technology Lab, Shenzhen, China (and 1 more)
- Peng Liu 0048 — University of Kent, UK
- Peng Liu 0049 — University of Electronic Science and Technology of China, Chengdu, China
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Journal Articles
- 2024
[j57]Mengjia Liu, Peng Liu, Lingjun Zhao, Yan Ma, Lajiao Chen, Mengzhen Xu:
Fast semantic segmentation for remote sensing images with an improved Short-Term Dense-Connection (STDC) network. Int. J. Digit. Earth 17(1) (2024)- [j56]Yongchuan Cui, Peng Liu, Bingze Song, Lingjun Zhao, Yan Ma, Lajiao Chen:
Reconstruction of Large-Scale Missing Data in Remote Sensing Images Using Extend-GAN. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j55]Yi Zeng, Boya Gao, Peng Liu, Xinyi Zhao:
Spatiotemporal Fusion for Nighttime Light Remote Sensing Images With Multivariate Activation Function. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j54]Peng Liu, Lizhe Wang, Jia Chen, Yongchuan Cui:
Semiblind Compressed Sensing: A Bidirectional-Driven Method for Spatiotemporal Fusion of Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 19048-19066 (2024) - [j53]Yongchuan Cui, Peng Liu, Yan Ma, Lajiao Chen, Mengzhen Xu, Xingyan Guo:
Pixel-Wise Ensembled Masked Autoencoder for Multispectral Pansharpening. IEEE Trans. Geosci. Remote. Sens. 62: 1-22 (2024) - 2023
- [j52]Peng Liu, Lizhe Wang, Jun Li:
Unlocking the Potential of Explainable Artificial Intelligence in Remote Sensing Big Data. Remote. Sens. 15(23): 5448 (2023) - [j51]Jie Song, Yan Ma, Zhixin Zhang, Peng Liu:
An In-Memory Data-Cube Aware Distributed Data Discovery Across Clouds for Remote Sensing Big Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4529-4548 (2023) - 2022
- [j50]Peng Liu, Lizhe Wang, Rajiv Ranjan, Guojin He, Lei Zhao:
A Survey on Active Deep Learning: From Model Driven to Data Driven. ACM Comput. Surv. 54(10s): 221:1-221:34 (2022) - [j49]Zhao Lei, Yi Zeng, Peng Liu, Xiaohui Su:
Active Deep Learning for Hyperspectral Image Classification With Uncertainty Learning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j48]Shuting Sun, Lin Mu, Lizhe Wang, Peng Liu:
L-UNet: An LSTM Network for Remote Sensing Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j47]Bingze Song, Peng Liu, Jun Li, Lizhe Wang, Luo Zhang, Guojin He, Lajiao Chen, Jianbo Liu:
MLFF-GAN: A Multilevel Feature Fusion With GAN for Spatiotemporal Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - 2021
- [j46]Zhensheng Sun, Miao Liu, Peng Liu, Juan Li, Tao Yu, Xingfa Gu, Jian Yang, Xiaofei Mi, Weijia Cao, Zhouwei Zhang:
SAR Image Classification Using Fully Connected Conditional Random Fields Combined with Deep Learning and Superpixel Boundary Constraint. Remote. Sens. 13(2): 271 (2021) - [j45]Shuting Sun, Lin Mu, Lizhe Wang, Peng Liu, Xiaolei Liu, Yuwei Zhang:
Semantic Segmentation for Buildings of Large Intra-Class Variation in Remote Sensing Images with O-GAN. Remote. Sens. 13(3): 475 (2021) - [j44]Luo Zhang, Peng Liu, Lizhe Wang, Jianbo Liu, Bingze Song, Yuwei Zhang, Guojin He, Hui Zhang:
Improved 1-km-Resolution Hourly Estimates of Aerosol Optical Depth Using Conditional Generative Adversarial Networks. Remote. Sens. 13(19): 3834 (2021) - [j43]Zhensheng Sun, Juan Li, Peng Liu, Weijia Cao, Tao Yu, Xingfa Gu:
SAR Image Classification Using Greedy Hierarchical Learning With Unsupervised Stacked CAEs. IEEE Trans. Geosci. Remote. Sens. 59(7): 5721-5739 (2021) - [j42]Jia Chen, Lizhe Wang, Ruyi Feng, Peng Liu, Wei Han, Xiaodao Chen:
CycleGAN-STF: Spatiotemporal Fusion via CycleGAN-Based Image Generation. IEEE Trans. Geosci. Remote. Sens. 59(7): 5851-5865 (2021) - 2020
- [j41]Lei Zhao, Yi Zeng, Peng Liu, Guojin He:
Band Selection via Explanations From Convolutional Neural Networks. IEEE Access 8: 56000-56014 (2020) - [j40]Lei Li, Peng Liu, Jie Wu, Lizhe Wang, Guojin He:
Spatiotemporal Remote-Sensing Image Fusion With Patch-Group Compressed Sensing. IEEE Access 8: 209199-209211 (2020) - [j39]Yi Zeng, Zihan Ning, Peng Liu, Peilei Luo, Yi Zhang, Guojin He:
A mosaic method for multi-temporal data registration by using convolutional neural networks for forestry remote sensing applications. Computing 102(3): 795-811 (2020) - [j38]Dong Xu, Yan Ma, Jining Yan, Peng Liu, Lajiao Chen:
Spatial-feature data cube for spatiotemporal remote sensing data processing and analysis. Computing 102(6): 1447-1461 (2020) - [j37]Wei Han, Lizhe Wang, Ruyi Feng, Lang Gao, Xiaodao Chen, Ze Deng, Jia Chen, Peng Liu:
Sample generation based on a supervised Wasserstein Generative Adversarial Network for high-resolution remote-sensing scene classification. Inf. Sci. 539: 177-194 (2020) - [j36]Lei Zhao, Yi Zeng, Peng Liu, Xiaohui Su:
Band Selection With the Explanatory Gradient Saliency Maps of Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 17(12): 2105-2109 (2020) - [j35]Yan Ma, Caihong Ma, Peng Liu, Jin Yang, Yuzhu Wang, Yueqin Zhu, Xiaoping Du:
Spatial-Temporal Distribution Analysis of Industrial Heat Sources in the US with Geocoded, Tree-Based, Large-Scale Clustering. Remote. Sens. 12(18): 3069 (2020) - 2019
- [j34]Wen Shu, Peng Liu, Guojin He, Guizhou Wang:
Hyperspectral Image Classification Using Spectral-Spatial Features With Informative Samples. IEEE Access 7: 20869-20878 (2019) - [j33]Fang Huang, Jun Lu, Jian Tao, Li Li, Xicheng Tan, Peng Liu:
Research on Optimization Methods of ELM Classification Algorithm for Hyperspectral Remote Sensing Images. IEEE Access 7: 108070-108089 (2019) - [j32]Wei Shan, Peng Liu, Lin Mu, Caihong Cao, Guojin He:
Hyperspectral Image Denoising With Dual Deep CNN. IEEE Access 7: 171297-171312 (2019) - [j31]Weijing Song, Lizhe Wang, Peng Liu, Kim-Kwang Raymond Choo:
Improved t-SNE based manifold dimensional reduction for remote sensing data processing. Multim. Tools Appl. 78(4): 4311-4326 (2019) - [j30]Peng Liu, Meng Wang, Lizhe Wang, Wei Han:
Remote-Sensing Image Denoising With Multi-Sourced Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(2): 660-674 (2019) - 2018
- [j29]Peng Liu, Liping Di, Qian Du, Lizhe Wang:
Remote Sensing Big Data: Theory, Methods and Applications. Remote. Sens. 10(5): 711 (2018) - [j28]Lizhe Wang, Peng Liu, Weijing Song, Kim-Kwang Raymond Choo:
DUK-SVD: dynamic dictionary updating for sparse representation of a long-time remote sensing image sequence. Soft Comput. 22(10): 3331-3342 (2018) - 2017
- [j27]Fang Huang, Jian Tao, Yang Xiang, Peng Liu, Lei Dong, Lizhe Wang:
Parallel compressive sampling matching pursuit algorithm for compressed sensing signal reconstruction with OpenCL. J. Syst. Archit. 72: 51-60 (2017) - [j26]Jingbo Wei, Lizhe Wang, Peng Liu, Weijing Song:
Spatiotemporal Fusion of Remote Sensing Images with Structural Sparsity and Semi-Coupled Dictionary Learning. Remote. Sens. 9(1): 21 (2017) - [j25]Lizhe Wang, Jiabin Zhang, Peng Liu, Kim-Kwang Raymond Choo, Fang Huang:
Spectral-spatial multi-feature-based deep learning for hyperspectral remote sensing image classification. Soft Comput. 21(1): 213-221 (2017) - [j24]Peng Liu, Kim-Kwang Raymond Choo, Lizhe Wang, Fang Huang:
SVM or deep learning? A comparative study on remote sensing image classification. Soft Comput. 21(23): 7053-7065 (2017) - [j23]Peng Liu, Hui Zhang, Kie B. Eom:
Active Deep Learning for Classification of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(2): 712-724 (2017) - [j22]Jingbo Wei, Lizhe Wang, Peng Liu, Xiaodao Chen, Wei Li, Albert Y. Zomaya:
Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images via Compressed Sensing. IEEE Trans. Geosci. Remote. Sens. 55(12): 7126-7139 (2017) - [j21]Weijing Song, Ze Deng, Lizhe Wang, Bo Du, Peng Liu, Ke Lu:
G-IK-SVD: parallel IK-SVD on GPUs for sparse representation of spatial big data. J. Supercomput. 73(8): 3433-3450 (2017) - 2016
- [j20]Lizhe Wang, Weijing Song, Peng Liu:
Link the remote sensing big data to the image features via wavelet transformation. Clust. Comput. 19(2): 793-810 (2016) - [j19]Yan Ma, Lajiao Chen, Peng Liu, Ke Lu:
Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation. Computing 98(1-2): 7-33 (2016) - [j18]Weijing Song, Peng Liu, Lizhe Wang:
Sparse representation-based correlation analysis of non-stationary spatiotemporal big data. Int. J. Digit. Earth 9(9): 892-913 (2016) - [j17]Xihuang Sun, Peng Liu, Yan Ma, Dingsheng Liu, Yechao Sun:
Streaming Remote Sensing Data Processing for the Future Smart Cities: State of the Art and Future Challenges. Int. J. Distributed Syst. Technol. 7(1): 1-14 (2016) - [j16]Cong Fan, Lizhe Wang, Peng Liu, Ke Lu, Dingsheng Liu:
Compressed sensing based remote sensing image reconstruction via employing similarities of reference images. Multim. Tools Appl. 75(19): 12201-12225 (2016) - [j15]Hongyang Lu, Jingbo Wei, Lizhe Wang, Peng Liu, Qiegen Liu, Yuhao Wang, Xiaohua Deng:
Reference Information Based Remote Sensing Image Reconstruction with Generalized Nonconvex Low-Rank Approximation. Remote. Sens. 8(6): 499 (2016) - 2015
- [j14]Lajiao Chen, Yan Ma, Peng Liu, Jingbo Wei, Wei Jie, Jijun He:
A review of parallel computing for large-scale remote sensing image mosaicking. Clust. Comput. 18(2): 517-529 (2015) - [j13]Yan Ma, Lizhe Wang, Peng Liu, Rajiv Ranjan:
Towards building a data-intensive index for big data computing - A case study of Remote Sensing data processing. Inf. Sci. 319: 171-188 (2015) - [j12]Lizhe Wang, Hao Geng, Peng Liu, Ke Lu, Joanna Kolodziej, Rajiv Ranjan, Albert Y. Zomaya:
Particle Swarm Optimization based dictionary learning for remote sensing big data. Knowl. Based Syst. 79: 43-50 (2015) - [j11]Lizhe Wang, Ke Lu, Peng Liu:
Compressed Sensing of a Remote Sensing Image Based on the Priors of the Reference Image. IEEE Geosci. Remote. Sens. Lett. 12(4): 736-740 (2015) - [j10]Lajiao Chen, Lizhe Wang, Yan Ma, Peng Liu:
Overview of Ecohydrological Models and Systems at the Watershed Scale. IEEE Syst. J. 9(3): 1091-1099 (2015) - 2014
- [j9]Peng Liu, Tao Yuan, Yan Ma, Lizhe Wang, Dingsheng Liu, Shasha Yue, Joanna Kolodziej:
Parallel Processing of Massive Remote Sensing Images in a GPU Architecture. Comput. Informatics 33(1): 197-217 (2014) - [j8]Lizhe Wang, Ke Lu, Peng Liu, Rajiv Ranjan, Lajiao Chen:
IK-SVD: Dictionary Learning for Spatial Big Data via Incremental Atom Update. Comput. Sci. Eng. 16(4): 41-52 (2014) - [j7]Jing Wen, Yan Ma, Peng Liu, Shengtao Sun:
Distributed multipliers in MWM for analyzing job arrival processes in massive HPC workload datasets. Future Gener. Comput. Syst. 37: 335-344 (2014) - [j6]Lajiao Chen, Yan Ma, Peng Liu, Wei Xue:
Parallelisation of a watershed distributed ecohydrological model with dynamic task scheduling. Int. J. Ad Hoc Ubiquitous Comput. 17(2/3): 110-121 (2014) - [j5]Peng Liu, Kie B. Eom:
Compressive Sensing of Noisy Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 11(11): 1931-1935 (2014) - [j4]Lizhe Wang, Hui Zhong, Rajiv Ranjan, Albert Y. Zomaya, Peng Liu:
Estimating the Statistical Characteristics of Remote Sensing Big Data in the Wavelet Transform Domain. IEEE Trans. Emerg. Top. Comput. 2(3): 324-337 (2014) - 2013
- [j3]Yan Ma, Lizhe Wang, Dingsheng Liu, Tao Yuan, Peng Liu, Wanfeng Zhang:
Distributed data structure templates for data-intensive remote sensing applications. Concurr. Comput. Pract. Exp. 25(12): 1784-1797 (2013) - [j2]Wanfeng Zhang, Lizhe Wang, Dingsheng Liu, Weijing Song, Yan Ma, Peng Liu, Dan Chen:
Towards building a multi-datacenter infrastructure for massive remote sensing image processing. Concurr. Comput. Pract. Exp. 25(12): 1798-1812 (2013) - 2012
- [j1]Peng Liu, Fang Huang, Guoqing Li, Zhiwen Liu:
Remote-Sensing Image Denoising Using Partial Differential Equations and Auxiliary Images as Priors. IEEE Geosci. Remote. Sens. Lett. 9(3): 358-362 (2012)
Conference and Workshop Papers
- 2016
- [c11]Peng Liu, Jabin Zhang, Jingbo Wei, Jining Yan, Lizhe Wang:
Sparse presentation based blind remote sensing image deconvolution with priors of reference images. IGARSS 2016: 7248-7251 - 2014
- [c10]Jing Wen, Peng Liu, Lajiao Chen, Lizhe Wang:
Sparse representation for remote sensing images of long time sequences. IGARSS 2014: 1293-1296 - [c9]Hui Zhong, Lizhe Wang, Peng Liu:
The correlation analysis of NDVI products based on sparse representation. IGARSS 2014: 1801-1804 - [c8]Hao Geng, Peng Liu, Lizhe Wang, Lajiao Chen:
Compressed sensing based remote sensing image reconstruction using an auxiliary image as priors. IGARSS 2014: 2499-2502 - [c7]Cong Fan, Peng Liu, Lizhe Wang:
Spatiotemporal resolution enhancement via compressed sensing. IGARSS 2014: 3061-3064 - 2013
- [c6]Peng Liu, Lingjun Zhao, Yan Ma:
Compressive sensing of multispectral image based on PCA and Bregman split. IGARSS 2013: 2558-2561 - 2012
- [c5]Yan Ma, Lizhe Wang, Dingsheng Liu, Peng Liu, Jun Wang, Jie Tao:
Generic Parallel Programming for Massive Remote Sensing Data Processing. CLUSTER 2012: 420-428 - 2011
- [c4]Peng Liu, Dingsheng Liu, Zhiwen Liu:
Selection of regularization parameter based on synchronous noise in total variation image restoration. ICDIP 2011: 800928 - 2010
- [c3]Yanying Wang, Yan Ma, Peng Liu, Dingsheng Liu, Jibo Xie:
An Optimized Image Mosaic Algorithm with Parallel IO and Dynamic Grouped Parallel Strategy Based on Minimal Spanning Tree. GCC 2010: 501-506 - 2007
- [c2]Fang Huang, Dingsheng Liu, Peng Liu, Shaogang Wang, Yi Zeng, Guoqing Li, Wenyang Yu, Jian Wang, Lingjun Zhao, Lv Pang:
Research On Cluster-Based Parallel GIS with the Example of Parallelization on GRASS GIS. GCC 2007: 642-649 - [c1]Peng Liu, Dingsheng Liu, Fang Huang:
MTF Measurement Based on Interactive Live-Wire Edge Extraction. International Conference on Computational Science (2) 2007: 523-530
Informal and Other Publications
- 2025
- [i3]Enzhe Sun, Yongchuan Cui, Peng Liu, Jining Yan:
A Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and Opportunities. CoRR abs/2504.00901 (2025) - 2022
- [i2]Yang Xiang, Zhihua Wu, Weibao Gong, Siyu Ding, Xianjie Mo, Yuang Liu, Shuohuan Wang, Peng Liu, Yongshuai Hou, Long Li, Bin Wang, Shaohuai Shi, Yaqian Han, Yue Yu, Ge Li, Yu Sun, Yanjun Ma, Dianhai Yu:
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters. CoRR abs/2205.09470 (2022) - 2016
- [i1]Peng Liu, Hui Zhang, Kie B. Eom:
Active Deep Learning for Classification of Hyperspectral Images. CoRR abs/1611.10031 (2016)
Coauthor Index
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