Peng Liu

According to our database, Peng Liu authored at least 67 papers between 2007 and 2024.

Collaborative distances:

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

2024

Semiblind Compressed Sensing: A Bidirectional-Driven Method for Spatiotemporal Fusion of Remote Sensing Images.

Peng Liu, Lizhe Wang, Jia Chen, Yongchuan Cui

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Spatiotemporal Fusion for Nighttime Light Remote Sensing Images With Multivariate Activation Function.

Yi Zeng, Boya Gao, Peng Liu, Xinyi Zhao

IEEE Geosci. Remote. Sens. Lett., 2024

Reconstruction of Large-Scale Missing Data in Remote Sensing Images Using Extend-GAN.

Yongchuan Cui, Peng Liu, Bingze Song, Lingjun Zhao, Yan Ma, Lajiao Chen

IEEE Geosci. Remote. Sens. Lett., 2024

2023

Unlocking the Potential of Explainable Artificial Intelligence in Remote Sensing Big Data.

Peng Liu, Lizhe Wang, Jun Li

Remote. Sens., December, 2023

An In-Memory Data-Cube Aware Distributed Data Discovery Across Clouds for Remote Sensing Big Data.

Jie Song, Yan Ma, Zhixin Zhang, Peng Liu

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

2022

A Survey on Active Deep Learning: From Model Driven to Data Driven.

Peng Liu, Lizhe Wang, Rajiv Ranjan, Guojin He, Lei Zhao

ACM Comput. Surv., January, 2022

MLFF-GAN: A Multilevel Feature Fusion With GAN for Spatiotemporal Remote Sensing Images.

Bingze Song, Peng Liu, Jun Li, Lizhe Wang, Luo Zhang, Guojin He, Lajiao Chen, Jianbo Liu

IEEE Trans. Geosci. Remote. Sens., 2022

L-UNet: An LSTM Network for Remote Sensing Image Change Detection.

Shuting Sun, Lin Mu, Lizhe Wang, Peng Liu

IEEE Geosci. Remote. Sens. Lett., 2022

Active Deep Learning for Hyperspectral Image Classification With Uncertainty Learning.

Zhao Lei, Yi Zeng, Peng Liu, Xiaohui Su

IEEE Geosci. Remote. Sens. Lett., 2022

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters.

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

CoRR, 2022

2021

SAR Image Classification Using Greedy Hierarchical Learning With Unsupervised Stacked CAEs.

Zhensheng Sun, Juan Li, Peng Liu, Weijia Cao, Tao Yu, Xingfa Gu

IEEE Trans. Geosci. Remote. Sens., 2021

CycleGAN-STF: Spatiotemporal Fusion via CycleGAN-Based Image Generation.

Jia Chen, Lizhe Wang, Ruyi Feng, Peng Liu, Wei Han, Xiaodao Chen

IEEE Trans. Geosci. Remote. Sens., 2021

Improved 1-km-Resolution Hourly Estimates of Aerosol Optical Depth Using Conditional Generative Adversarial Networks.

Luo Zhang, Peng Liu, Lizhe Wang, Jianbo Liu, Bingze Song, Yuwei Zhang, Guojin He, Hui Zhang

Remote. Sens., 2021

Semantic Segmentation for Buildings of Large Intra-Class Variation in Remote Sensing Images with O-GAN.

Shuting Sun, Lin Mu, Lizhe Wang, Peng Liu, Xiaolei Liu, Yuwei Zhang

Remote. Sens., 2021

SAR Image Classification Using Fully Connected Conditional Random Fields Combined with Deep Learning and Superpixel Boundary Constraint.

Zhensheng Sun, Miao Liu, Peng Liu, Juan Li, Tao Yu, Xingfa Gu, Jian Yang, Xiaofei Mi, Weijia Cao, Zhouwei Zhang

Remote. Sens., 2021

2020

Spatial-Temporal Distribution Analysis of Industrial Heat Sources in the US with Geocoded, Tree-Based, Large-Scale Clustering.

Yan Ma, Caihong Ma, Peng Liu, Jin Yang, Yuzhu Wang, Yueqin Zhu, Xiaoping Du

Remote. Sens., 2020

Band Selection With the Explanatory Gradient Saliency Maps of Convolutional Neural Networks.

Lei Zhao, Yi Zeng, Peng Liu, Xiaohui Su

IEEE Geosci. Remote. Sens. Lett., 2020

Sample generation based on a supervised Wasserstein Generative Adversarial Network for high-resolution remote-sensing scene classification.

Wei Han, Lizhe Wang, Ruyi Feng, Lang Gao, Xiaodao Chen, Ze Deng, Jia Chen, Peng Liu

Inf. Sci., 2020

A mosaic method for multi-temporal data registration by using convolutional neural networks for forestry remote sensing applications.

Yi Zeng, Zihan Ning, Peng Liu, Peilei Luo, Yi Zhang, Guojin He

Computing, 2020

Spatial-feature data cube for spatiotemporal remote sensing data processing and analysis.

Dong Xu, Yan Ma, Jining Yan, Peng Liu, Lajiao Chen

Computing, 2020

Band Selection via Explanations From Convolutional Neural Networks.

Lei Zhao, Yi Zeng, Peng Liu, Guojin He

IEEE Access, 2020

Spatiotemporal Remote-Sensing Image Fusion With Patch-Group Compressed Sensing.

Lei Li, Peng Liu, Jie Wu, Lizhe Wang, Guojin He

IEEE Access, 2020

2019

Remote-Sensing Image Denoising With Multi-Sourced Information.

Peng Liu, Meng Wang, Lizhe Wang, Wei Han

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

Improved t-SNE based manifold dimensional reduction for remote sensing data processing.

Weijing Song, Lizhe Wang, Peng Liu, Kim-Kwang Raymond Choo

Multim. Tools Appl., 2019

Hyperspectral Image Classification Using Spectral-Spatial Features With Informative Samples.

Wen Shu, Peng Liu, Guojin He, Guizhou Wang

IEEE Access, 2019

Hyperspectral Image Denoising With Dual Deep CNN.

Wei Shan, Peng Liu, Lin Mu, Caihong Cao, Guojin He

IEEE Access, 2019

Research on Optimization Methods of ELM Classification Algorithm for Hyperspectral Remote Sensing Images.

Fang Huang, Jun Lu, Jian Tao, Li Li, Xicheng Tan, Peng Liu

IEEE Access, 2019

2018

DUK-SVD: dynamic dictionary updating for sparse representation of a long-time remote sensing image sequence.

Lizhe Wang, Peng Liu, Weijing Song, Kim-Kwang Raymond Choo

Soft Comput., 2018

Remote Sensing Big Data: Theory, Methods and Applications.

Peng Liu, Liping Di, Qian Du, Lizhe Wang

Remote. Sens., 2018

2017

G-IK-SVD: parallel IK-SVD on GPUs for sparse representation of spatial big data.

Weijing Song, Ze Deng, Lizhe Wang, Bo Du, Peng Liu, Ke Lu

J. Supercomput., 2017

Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images via Compressed Sensing.

Jingbo Wei, Lizhe Wang, Peng Liu, Xiaodao Chen, Wei Li, Albert Y. Zomaya

IEEE Trans. Geosci. Remote. Sens., 2017

Active Deep Learning for Classification of Hyperspectral Images.

Peng Liu, Hui Zhang, Kie B. Eom

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Spectral-spatial multi-feature-based deep learning for hyperspectral remote sensing image classification.

Lizhe Wang, Jiabin Zhang, Peng Liu, Kim-Kwang Raymond Choo, Fang Huang

Soft Comput., 2017

SVM or deep learning? A comparative study on remote sensing image classification.

Peng Liu, Kim-Kwang Raymond Choo, Lizhe Wang, Fang Huang

Soft Comput., 2017

Spatiotemporal Fusion of Remote Sensing Images with Structural Sparsity and Semi-Coupled Dictionary Learning.

Jingbo Wei, Lizhe Wang, Peng Liu, Weijing Song

Remote. Sens., 2017

Parallel compressive sampling matching pursuit algorithm for compressed sensing signal reconstruction with OpenCL.

Fang Huang, Jian Tao, Yang Xiang, Peng Liu, Lei Dong, Lizhe Wang

J. Syst. Archit., 2017

2016

Reference Information Based Remote Sensing Image Reconstruction with Generalized Nonconvex Low-Rank Approximation.

Hongyang Lu, Jingbo Wei, Lizhe Wang, Peng Liu, Qiegen Liu, Yuhao Wang, Xiaohua Deng

Remote. Sens., 2016

Compressed sensing based remote sensing image reconstruction via employing similarities of reference images.

Cong Fan, Lizhe Wang, Peng Liu, Ke Lu, Dingsheng Liu

Multim. Tools Appl., 2016

Streaming Remote Sensing Data Processing for the Future Smart Cities: State of the Art and Future Challenges.

Xihuang Sun, Peng Liu, Yan Ma, Dingsheng Liu, Yechao Sun

Int. J. Distributed Syst. Technol., 2016

Sparse representation-based correlation analysis of non-stationary spatiotemporal big data.

Weijing Song, Peng Liu, Lizhe Wang

Int. J. Digit. Earth, 2016

Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation.

Yan Ma, Lajiao Chen, Peng Liu, Ke Lu

Computing, 2016

Link the remote sensing big data to the image features via wavelet transformation.

Lizhe Wang, Weijing Song, Peng Liu

Clust. Comput., 2016

Sparse presentation based blind remote sensing image deconvolution with priors of reference images.

Peng Liu, Jabin Zhang, Jingbo Wei, Jining Yan, Lizhe Wang

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

2015

Overview of Ecohydrological Models and Systems at the Watershed Scale.

Lajiao Chen, Lizhe Wang, Yan Ma, Peng Liu

IEEE Syst. J., 2015

Compressed Sensing of a Remote Sensing Image Based on the Priors of the Reference Image.

Lizhe Wang, Ke Lu, Peng Liu

IEEE Geosci. Remote. Sens. Lett., 2015

Particle Swarm Optimization based dictionary learning for remote sensing big data.

Lizhe Wang, Hao Geng, Peng Liu, Ke Lu, Joanna Kolodziej, Rajiv Ranjan, Albert Y. Zomaya

Knowl. Based Syst., 2015

Towards building a data-intensive index for big data computing - A case study of Remote Sensing data processing.

Yan Ma, Lizhe Wang, Peng Liu, Rajiv Ranjan

Inf. Sci., 2015

A review of parallel computing for large-scale remote sensing image mosaicking.

Lajiao Chen, Yan Ma, Peng Liu, Jingbo Wei, Wei Jie, Jijun He

Clust. Comput., 2015

2014

Estimating the Statistical Characteristics of Remote Sensing Big Data in the Wavelet Transform Domain.

Lizhe Wang, Hui Zhong, Rajiv Ranjan, Albert Y. Zomaya, Peng Liu

IEEE Trans. Emerg. Top. Comput., 2014

Compressive Sensing of Noisy Multispectral Images.

Peng Liu, Kie B. Eom

IEEE Geosci. Remote. Sens. Lett., 2014

Parallelisation of a watershed distributed ecohydrological model with dynamic task scheduling.

Lajiao Chen, Yan Ma, Peng Liu, Wei Xue

Int. J. Ad Hoc Ubiquitous Comput., 2014

Distributed multipliers in MWM for analyzing job arrival processes in massive HPC workload datasets.

Jing Wen, Yan Ma, Peng Liu, Shengtao Sun

Future Gener. Comput. Syst., 2014

IK-SVD: Dictionary Learning for Spatial Big Data via Incremental Atom Update.

Lizhe Wang, Ke Lu, Peng Liu, Rajiv Ranjan, Lajiao Chen

Comput. Sci. Eng., 2014

Parallel Processing of Massive Remote Sensing Images in a GPU Architecture.

Peng Liu, Tao Yuan, Yan Ma, Lizhe Wang, Dingsheng Liu, Shasha Yue, Joanna Kolodziej

Comput. Informatics, 2014

The correlation analysis of NDVI products based on sparse representation.

Hui Zhong, Lizhe Wang, Peng Liu

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Sparse representation for remote sensing images of long time sequences.

Jing Wen, Peng Liu, Lajiao Chen, Lizhe Wang

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Compressed sensing based remote sensing image reconstruction using an auxiliary image as priors.

Hao Geng, Peng Liu, Lizhe Wang, Lajiao Chen

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Spatiotemporal resolution enhancement via compressed sensing.

Cong Fan, Peng Liu, Lizhe Wang

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

Towards building a multi-datacenter infrastructure for massive remote sensing image processing.

Wanfeng Zhang, Lizhe Wang, Dingsheng Liu, Weijing Song, Yan Ma, Peng Liu, Dan Chen

Concurr. Comput. Pract. Exp., 2013

Distributed data structure templates for data-intensive remote sensing applications.

Yan Ma, Lizhe Wang, Dingsheng Liu, Tao Yuan, Peng Liu, Wanfeng Zhang

Concurr. Comput. Pract. Exp., 2013

Compressive sensing of multispectral image based on PCA and Bregman split.

Peng Liu, Lingjun Zhao, Yan Ma

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012

Remote-Sensing Image Denoising Using Partial Differential Equations and Auxiliary Images as Priors.

Peng Liu, Fang Huang, Guoqing Li, Zhiwen Liu

IEEE Geosci. Remote. Sens. Lett., 2012

Generic Parallel Programming for Massive Remote Sensing Data Processing.

Yan Ma, Lizhe Wang, Dingsheng Liu, Peng Liu, Jun Wang, Jie Tao

Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

2011

Selection of regularization parameter based on synchronous noise in total variation image restoration.

Peng Liu, Dingsheng Liu, Zhiwen Liu

Proceedings of the Third International Conference on Digital Image Processing, 2011

2010

An Optimized Image Mosaic Algorithm with Parallel IO and Dynamic Grouped Parallel Strategy Based on Minimal Spanning Tree.

Yanying Wang, Yan Ma, Peng Liu, Dingsheng Liu, Jibo Xie

Proceedings of the GCC 2010, 2010

2007

MTF Measurement Based on Interactive Live-Wire Edge Extraction.

Peng Liu, Dingsheng Liu, Fang Huang

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Research On Cluster-Based Parallel GIS with the Example of Parallelization on GRASS GIS.

Fang Huang, Dingsheng Liu, Peng Liu, Shaogang Wang, Yi Zeng, Guoqing Li, Wenyang Yu, Jian Wang, Lingjun Zhao, Lv Pang

Proceedings of the Grid and Cooperative Computing, 2007