Research On Cluster-Based Parallel GIS with the Example of Parallelization on GRASS GIS. - Fang Huang 001; Dingsheng Liu; Peng Liu 024; Shaogang Wang; Yi Zeng 002; Guoqing Li; Wenyang Yu; Jian Wang 079; Lingjun Zhao; Lv Pang (GCC, 2007)

MTF Measurement Based on Interactive Live-Wire Edge Extraction. - Peng Liu 024; Dingsheng Liu; Fang Huang 001 (International Conference on Computational Science (2), 2007)

An Optimized Image Mosaic Algorithm with Parallel IO and Dynamic Grouped Parallel Strategy Based on Minimal Spanning Tree. - Yanying Wang; Yan Ma 001; Peng Liu 024; Dingsheng Liu; Jibo Xie (GCC, 2010)

Selection of regularization parameter based on synchronous noise in total variation image restoration. - Peng Liu 024; Dingsheng Liu; Zhiwen Liu (ICDIP, 2011)

Generic Parallel Programming for Massive Remote Sensing Data Processing. - Yan Ma 001; Lizhe Wang 001; Dingsheng Liu; Peng Liu 024; Jun Wang 001; Jie Tao 001 (CLUSTER, 2012)

Remote-Sensing Image Denoising Using Partial Differential Equations and Auxiliary Images as Priors. - Peng Liu 024; Fang Huang 001; Guoqing Li; Zhiwen Liu (IEEE Geosci. Remote. Sens. Lett., 2012)

Compressive sensing of multispectral image based on PCA and Bregman split. - Peng Liu 024; Lingjun Zhao; Yan Ma 001 (IGARSS, 2013)

Distributed data structure templates for data-intensive remote sensing applications. - Yan Ma 001; Lizhe Wang 001; Dingsheng Liu; Tao Yuan; Peng Liu 024; Wanfeng Zhang (Concurr. Comput. Pract. Exp., 2013)

Towards building a multi-datacenter infrastructure for massive remote sensing image processing. - Wanfeng Zhang; Lizhe Wang 001; Dingsheng Liu; Weijing Song; Yan Ma 001; Peng Liu 024; Dan Chen 001 (Concurr. Comput. Pract. Exp., 2013)

Spatiotemporal resolution enhancement via compressed sensing. - Cong Fan; Peng Liu 024; Lizhe Wang 001 (IGARSS, 2014)

Compressed sensing based remote sensing image reconstruction using an auxiliary image as priors. - Hao Geng; Peng Liu 024; Lizhe Wang 001; Lajiao Chen (IGARSS, 2014)

Sparse representation for remote sensing images of long time sequences. - Jing Wen; Peng Liu 024; Lajiao Chen; Lizhe Wang 001 (IGARSS, 2014)

The correlation analysis of NDVI products based on sparse representation. - Hui Zhong; Lizhe Wang 001; Peng Liu 024 (IGARSS, 2014)

Parallel Processing of Massive Remote Sensing Images in a GPU Architecture. - Peng Liu 024; Tao Yuan; Yan Ma 001; Lizhe Wang 001; Dingsheng Liu; Shasha Yue; Joanna Kolodziej (Comput. Informatics, 2014)

IK-SVD: Dictionary Learning for Spatial Big Data via Incremental Atom Update. - Lizhe Wang 001; Ke Lu 002; Peng Liu 024; Rajiv Ranjan 001; Lajiao Chen (Comput. Sci. Eng., 2014)

Distributed multipliers in MWM for analyzing job arrival processes in massive HPC workload datasets. - Jing Wen; Yan Ma 001; Peng Liu 024; Shengtao Sun (Future Gener. Comput. Syst., 2014)

Parallelisation of a watershed distributed ecohydrological model with dynamic task scheduling. - Lajiao Chen; Yan Ma 001; Peng Liu 024; Wei Xue (Int. J. Ad Hoc Ubiquitous Comput., 2014)

Compressive Sensing of Noisy Multispectral Images. - Peng Liu 024; Kie B. Eom (IEEE Geosci. Remote. Sens. Lett., 2014)

Estimating the Statistical Characteristics of Remote Sensing Big Data in the Wavelet Transform Domain. - Lizhe Wang 001; Hui Zhong; Rajiv Ranjan 001; Albert Y. Zomaya; Peng Liu 024 (IEEE Trans. Emerg. Top. Comput., 2014)

A review of parallel computing for large-scale remote sensing image mosaicking. - Lajiao Chen; Yan Ma 001; Peng Liu 024; Jingbo Wei; Wei Jie; Jijun He (Clust. Comput., 2015)

Towards building a data-intensive index for big data computing - A case study of Remote Sensing data processing. - Yan Ma 001; Lizhe Wang 001; Peng Liu 024; Rajiv Ranjan 001 (Inf. Sci., 2015)

Particle Swarm Optimization based dictionary learning for remote sensing big data. - Lizhe Wang 001; Hao Geng; Peng Liu 024; Ke Lu 002; Joanna Kolodziej; Rajiv Ranjan 001; Albert Y. Zomaya (Knowl. Based Syst., 2015)

Compressed Sensing of a Remote Sensing Image Based on the Priors of the Reference Image. - Lizhe Wang 001; Ke Lu 002; Peng Liu 024 (IEEE Geosci. Remote. Sens. Lett., 2015)

Overview of Ecohydrological Models and Systems at the Watershed Scale. - Lajiao Chen; Lizhe Wang 001; Yan Ma 001; Peng Liu 024 (IEEE Syst. J., 2015)

Sparse presentation based blind remote sensing image deconvolution with priors of reference images. - Peng Liu 024; Jabin Zhang; Jingbo Wei; Jining Yan; Lizhe Wang 001 (IGARSS, 2016)

Link the remote sensing big data to the image features via wavelet transformation. - Lizhe Wang 001; Weijing Song; Peng Liu 024 (Clust. Comput., 2016)

Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation. - Yan Ma 001; Lajiao Chen; Peng Liu 024; Ke Lu 002 (Computing, 2016)

Sparse representation-based correlation analysis of non-stationary spatiotemporal big data. - Weijing Song; Peng Liu 024; Lizhe Wang 001 (Int. J. Digit. Earth, 2016)

Streaming Remote Sensing Data Processing for the Future Smart Cities: State of the Art and Future Challenges. - Xihuang Sun; Peng Liu 024; Yan Ma 001; Dingsheng Liu; Yechao Sun (Int. J. Distributed Syst. Technol., 2016)

Compressed sensing based remote sensing image reconstruction via employing similarities of reference images. - Cong Fan; Lizhe Wang 001; Peng Liu 024; Ke Lu 002; Dingsheng Liu (Multim. Tools Appl., 2016)

Reference Information Based Remote Sensing Image Reconstruction with Generalized Nonconvex Low-Rank Approximation. - Hongyang Lu; Jingbo Wei; Lizhe Wang 001; Peng Liu 024; Qiegen Liu; Yuhao Wang 001; Xiaohua Deng (Remote. Sens., 2016)

Parallel compressive sampling matching pursuit algorithm for compressed sensing signal reconstruction with OpenCL. - Fang Huang 001; Jian Tao; Yang Xiang 001; Peng Liu 024; Lei Dong; Lizhe Wang 001 (J. Syst. Archit., 2017)

Spatiotemporal Fusion of Remote Sensing Images with Structural Sparsity and Semi-Coupled Dictionary Learning. - Jingbo Wei; Lizhe Wang 001; Peng Liu 024; Weijing Song (Remote. Sens., 2017)

SVM or deep learning? A comparative study on remote sensing image classification. - Peng Liu 024; Kim-Kwang Raymond Choo; Lizhe Wang 001; Fang Huang 001 (Soft Comput., 2017)

Spectral-spatial multi-feature-based deep learning for hyperspectral remote sensing image classification. - Lizhe Wang 001; Jiabin Zhang; Peng Liu 024; Kim-Kwang Raymond Choo; Fang Huang 001 (Soft Comput., 2017)

Active Deep Learning for Classification of Hyperspectral Images. - Peng Liu 024; Hui Zhang; Kie B. Eom (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images via Compressed Sensing. - Jingbo Wei; Lizhe Wang 001; Peng Liu 024; Xiaodao Chen; Wei Li 058; Albert Y. Zomaya (IEEE Trans. Geosci. Remote. Sens., 2017)

G-IK-SVD: parallel IK-SVD on GPUs for sparse representation of spatial big data. - Weijing Song; Ze Deng; Lizhe Wang 001; Bo Du 006; Peng Liu 024; Ke Lu 002 (J. Supercomput., 2017)

Remote Sensing Big Data: Theory, Methods and Applications. - Peng Liu 024; Liping Di; Qian Du 001; Lizhe Wang 001 (Remote. Sens., 2018)

DUK-SVD: dynamic dictionary updating for sparse representation of a long-time remote sensing image sequence. - Lizhe Wang 001; Peng Liu 024; Weijing Song; Kim-Kwang Raymond Choo (Soft Comput., 2018)

Research on Optimization Methods of ELM Classification Algorithm for Hyperspectral Remote Sensing Images. - Fang Huang 001; Jun Lu; Jian Tao; Li Li 048; Xicheng Tan; Peng Liu 024 (IEEE Access, 2019)

Hyperspectral Image Denoising With Dual Deep CNN. - Wei Shan; Peng Liu 024; Lin Mu; Caihong Cao; Guojin He (IEEE Access, 2019)

Hyperspectral Image Classification Using Spectral-Spatial Features With Informative Samples. - Wen Shu; Peng Liu 024; Guojin He; Guizhou Wang (IEEE Access, 2019)

Improved t-SNE based manifold dimensional reduction for remote sensing data processing. - Weijing Song; Lizhe Wang 001; Peng Liu 024; Kim-Kwang Raymond Choo (Multim. Tools Appl., 2019)

Remote-Sensing Image Denoising With Multi-Sourced Information. - Peng Liu 024; Meng Wang; Lizhe Wang 001; Wei Han 006 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Spatiotemporal Remote-Sensing Image Fusion With Patch-Group Compressed Sensing. - Lei Li; Peng Liu 024; Jie Wu; Lizhe Wang 001; Guojin He (IEEE Access, 2020)

Band Selection via Explanations From Convolutional Neural Networks. - Lei Zhao; Yi Zeng 002; Peng Liu 024; Guojin He (IEEE Access, 2020)

Spatial-feature data cube for spatiotemporal remote sensing data processing and analysis. - Dong Xu; Yan Ma 001; Jining Yan; Peng Liu 024; Lajiao Chen (Computing, 2020)

A mosaic method for multi-temporal data registration by using convolutional neural networks for forestry remote sensing applications. - Yi Zeng 002; Zihan Ning; Peng Liu 024; Peilei Luo; Yi Zhang; Guojin He (Computing, 2020)

Sample generation based on a supervised Wasserstein Generative Adversarial Network for high-resolution remote-sensing scene classification. - Wei Han 006; Lizhe Wang 001; Ruyi Feng; Lang Gao; Xiaodao Chen; Ze Deng; Jia Chen; Peng Liu 024 (Inf. Sci., 2020)

Band Selection With the Explanatory Gradient Saliency Maps of Convolutional Neural Networks. - Lei Zhao; Yi Zeng 002; Peng Liu 024; Xiaohui Su (IEEE Geosci. Remote. Sens. Lett., 2020)

Spatial-Temporal Distribution Analysis of Industrial Heat Sources in the US with Geocoded, Tree-Based, Large-Scale Clustering. - Yan Ma 001; Caihong Ma; Peng Liu 024; Jin Yang; Yuzhu Wang; Yueqin Zhu; Xiaoping Du (Remote. Sens., 2020)

SAR Image Classification Using Fully Connected Conditional Random Fields Combined with Deep Learning and Superpixel Boundary Constraint. - Zhensheng Sun; Miao Liu; Peng Liu 024; Juan Li; Tao Yu 001; Xingfa Gu; Jian Yang; Xiaofei Mi; Weijia Cao; Zhouwei 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 001; Peng Liu 024; Xiaolei Liu; Yuwei Zhang (Remote. Sens., 2021)

Improved 1-km-Resolution Hourly Estimates of Aerosol Optical Depth Using Conditional Generative Adversarial Networks. - Luo Zhang; Peng Liu 024; Lizhe Wang 001; Jianbo Liu; Bingze Song; Yuwei Zhang; Guojin He; Hui Zhang (Remote. Sens., 2021)

CycleGAN-STF: Spatiotemporal Fusion via CycleGAN-Based Image Generation. - Jia Chen; Lizhe Wang 001; Ruyi Feng; Peng Liu 024; Wei Han 006; Xiaodao Chen (IEEE Trans. Geosci. Remote. Sens., 2021)

SAR Image Classification Using Greedy Hierarchical Learning With Unsupervised Stacked CAEs. - Zhensheng Sun; Juan Li; Peng Liu 024; Weijia Cao; Tao Yu 001; Xingfa Gu (IEEE Trans. Geosci. Remote. Sens., 2021)

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters. - Yang Xiang 001; Zhihua Wu; Weibao Gong; Siyu Ding; Xianjie Mo; Yuang Liu; Shuohuan Wang; Peng Liu 024; Yongshuai Hou; Long Li; Bin Wang; Shaohuai Shi; et al. (CoRR, 2022)

Active Deep Learning for Hyperspectral Image Classification With Uncertainty Learning. - Zhao Lei; Yi Zeng 002; Peng Liu 024; Xiaohui Su (IEEE Geosci. Remote. Sens. Lett., 2022)

L-UNet: An LSTM Network for Remote Sensing Image Change Detection. - Shuting Sun; Lin Mu; Lizhe Wang 001; Peng Liu 024 (IEEE Geosci. Remote. Sens. Lett., 2022)

MLFF-GAN: A Multilevel Feature Fusion With GAN for Spatiotemporal Remote Sensing Images. - Bingze Song; Peng Liu 024; Jun Li 009; Lizhe Wang 001; Luo Zhang; Guojin He; Lajiao Chen; Jianbo Liu (IEEE Trans. Geosci. Remote. Sens., 2022)

A Survey on Active Deep Learning: From Model Driven to Data Driven. - Peng Liu 024; Lizhe Wang 001; Rajiv Ranjan 001; Guojin He; Lei Zhao (ACM Comput. Surv., 2022)

An In-Memory Data-Cube Aware Distributed Data Discovery Across Clouds for Remote Sensing Big Data. - Jie Song; Yan Ma 001; Zhixin Zhang; Peng Liu 024 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Unlocking the Potential of Explainable Artificial Intelligence in Remote Sensing Big Data. - Peng Liu 024; Lizhe Wang 001; Jun Li 009 (Remote. Sens., 2023)

Reconstruction of Large-Scale Missing Data in Remote Sensing Images Using Extend-GAN. - Yongchuan Cui; Peng Liu 024; Bingze Song; Lingjun Zhao; Yan Ma 001; Lajiao Chen (IEEE Geosci. Remote. Sens. Lett., 2024)

Spatiotemporal Fusion for Nighttime Light Remote Sensing Images With Multivariate Activation Function. - Yi Zeng 002; Boya Gao; Peng Liu 024; Xinyi Zhao (IEEE Geosci. Remote. Sens. Lett., 2024)

Semiblind Compressed Sensing: A Bidirectional-Driven Method for Spatiotemporal Fusion of Remote Sensing Images. - Peng Liu 024; Lizhe Wang 001; Jia Chen; Yongchuan Cui (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Pixel-Wise Ensembled Masked Autoencoder for Multispectral Pansharpening. - Yongchuan Cui; Peng Liu 024; Yan Ma 001; Lajiao Chen; Mengzhen Xu; Xingyan Guo (IEEE Trans. Geosci. Remote. Sens., 2024)

Fast semantic segmentation for remote sensing images with an improved Short-Term Dense-Connection (STDC) network. - Mengjia Liu; Peng Liu 024; Lingjun Zhao; Yan Ma 001; Lajiao Chen; Mengzhen Xu (Int. J. Digit. Earth, 2024)

A Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and Opportunities. - Enzhe Sun; Yongchuan Cui; Peng Liu 024; Jining Yan (CoRR, 2025)