Peng Liu

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 41

Top Topics

Image Classification

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

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 (2024)
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 (2024)
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 (2023)
Peng Liu, Lizhe Wang, Jun Li
Unlocking the Potential of Explainable Artificial Intelligence in Remote Sensing Big Data. Remote. Sens. 15 (23) (2023)
Zhao Lei, Yi Zeng, Peng Liu, Xiaohui Su
Active Deep Learning for Hyperspectral Image Classification With Uncertainty Learning. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
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 (2022)
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 (2022)
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) (2022)
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) (2021)
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) (2021)
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) (2021)
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) (2021)
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) (2021)
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) (2020)
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) (2020)
Lei Li, Peng Liu, Jie Wu, Lizhe Wang, Guojin He
Spatiotemporal Remote-Sensing Image Fusion With Patch-Group Compressed Sensing. IEEE Access 8 (2020)
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) (2020)
Lei Zhao, Yi Zeng, Peng Liu, Guojin He
Band Selection via Explanations From Convolutional Neural Networks. IEEE Access 8 (2020)
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 (2020)
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 (2019)
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) (2019)
Wei Shan, Peng Liu, Lin Mu, Caihong Cao, Guojin He
Hyperspectral Image Denoising With Dual Deep CNN. IEEE Access 7 (2019)
Wen Shu, Peng Liu, Guojin He, Guizhou Wang
Hyperspectral Image Classification Using Spectral-Spatial Features With Informative Samples. IEEE Access 7 (2019)
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) (2019)
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) (2018)
Peng Liu, Liping Di, Qian Du, Lizhe Wang
Remote Sensing Big Data: Theory, Methods and Applications. Remote. Sens. 10 (5) (2018)
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) (2017)
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) (2017)
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) (2017)
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) (2017)
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) (2017)
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) (2017)
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 (2017)
Lizhe Wang, Weijing Song, Peng Liu
Link the remote sensing big data to the image features via wavelet transformation. Clust. Comput. 19 (2) (2016)
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) (2016)
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) (2016)
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) (2016)
Peng Liu, Hui Zhang, Kie B. Eom
Active Deep Learning for Classification of Hyperspectral Images. CoRR (2016)
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) (2016)
Weijing Song, Peng Liu, Lizhe Wang
Sparse representation-based correlation analysis of non-stationary spatiotemporal big data. Int. J. Digit. Earth 9 (9) (2016)
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)
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) (2015)
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 (2015)
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 (2015)
Lajiao Chen, Lizhe Wang, Yan Ma, Peng Liu
Overview of Ecohydrological Models and Systems at the Watershed Scale. IEEE Syst. J. 9 (3) (2015)
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) (2015)
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) (2014)
Hao Geng, Peng Liu, Lizhe Wang, Lajiao Chen
Compressed sensing based remote sensing image reconstruction using an auxiliary image as priors. IGARSS (2014)
Hui Zhong, Lizhe Wang, Peng Liu
The correlation analysis of NDVI products based on sparse representation. IGARSS (2014)
Peng Liu, Kie B. Eom
Compressive Sensing of Noisy Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 11 (11) (2014)
Cong Fan, Peng Liu, Lizhe Wang
Spatiotemporal resolution enhancement via compressed sensing. IGARSS (2014)
Jing Wen, Peng Liu, Lajiao Chen, Lizhe Wang
Sparse representation for remote sensing images of long time sequences. IGARSS (2014)
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) (2014)
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) (2014)
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 (2014)
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) (2014)
Peng Liu, Lingjun Zhao, Yan Ma
Compressive sensing of multispectral image based on PCA and Bregman split. IGARSS (2013)
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) (2013)
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) (2013)
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) (2012)
Yan Ma, Lizhe Wang, Dingsheng Liu, Peng Liu, Jun Wang, Jie Tao
Generic Parallel Programming for Massive Remote Sensing Data Processing. CLUSTER (2012)
Peng Liu, Dingsheng Liu, Zhiwen Liu
Selection of regularization parameter based on synchronous noise in total variation image restoration. ICDIP (2011)
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)
Peng Liu, Dingsheng Liu, Fang Huang
MTF Measurement Based on Interactive Live-Wire Edge Extraction. International Conference on Computational Science (2) (2007)
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)