By Associate Professor Xiuping Jia

Journal articles

Zhong J; Li Y; Xie W; Lei J; Jia X, 2022, 'Multi-Prior Twin Least-Square Network for Anomaly Detection of Hyperspectral Imagery', Remote Sensing, 14, http://dx.doi.org/10.3390/rs14122859

Zhang A; Pan Z; Fu H; Sun G; Rong J; Ren J; Jia X; Yao Y, 2022, 'Superpixel Nonlocal Weighting Joint Sparse Representation for Hyperspectral Image Classification', Remote Sensing, 14, http://dx.doi.org/10.3390/rs14092125

Liu TZ; Gu YF; Jia XP, 2022, 'Class-guided coupled dictionary learning for multispectral-hyperspectral remote sensing image collaborative classification', Science China Technological Sciences, 65, pp. 744 - 758, http://dx.doi.org/10.1007/s11431-021-1978-6

Xu M; Deng F; Jia S; Jia X; Plaza AJ, 2022, 'Attention mechanism-based generative adversarial networks for cloud removal in Landsat images', Remote Sensing of Environment, 271, http://dx.doi.org/10.1016/j.rse.2022.112902

Sun G; Cheng J; Zhang A; Jia X; Yao Y; Jiao Z, 2022, 'Hierarchical fusion of optical and dual-polarized SAR on impervious surface mapping at city scale', ISPRS Journal of Photogrammetry and Remote Sensing, 184, pp. 264 - 278, http://dx.doi.org/10.1016/j.isprsjprs.2021.12.008

Jia S; Liao J; Xu M; Li Y; Zhu J; Sun W; Jia X; Li Q, 2022, '3-D Gabor Convolutional Neural Network for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2021.3087186

Zuo R; Zhang G; Zhang R; Jia X, 2022, 'A Deformable Attention Network for High-Resolution Remote Sensing Images Semantic Segmentation', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2021.3119537

Jia S; Yuan Y; Li N; Liao J; Huang Q; Jia X; Xu M, 2022, 'A Multiscale Superpixel-Level Group Clustering Framework for Hyperspectral Band Selection', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2022.3150361

Fu H; Zhang A; Sun G; Ren J; Jia X; Pan Z; Ma H, 2022, 'A Novel Band Selection and Spatial Noise Reduction Method for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2022.3189015

Jia S; Jiang S; Lin Z; Xu M; Sun W; Huang Q; Zhu J; Jia X, 2022, 'A Semisupervised Siamese Network for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2021.3116138

Zhang A; Sun G; Pan Z; Ren J; Jia X; Zhang C; Fu H; Yao Y, 2022, 'Bayesian Gravitation-Based Classification for Hyperspectral Images', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2022.3203488

Li Q; Yuan Y; Jia X; Wang Q, 2022, 'Dual-Stage Approach Toward Hyperspectral Image Super-Resolution', IEEE Transactions on Image Processing, 31, pp. 7252 - 7263, http://dx.doi.org/10.1109/TIP.2022.3221287

Zhao C; Li C; Feng S; Jia X, 2022, 'Enhanced Total Variation Regularized Representation Model with Endmember Background Dictionary for Hyperspectral Anomaly Detection', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2021.3128183

Fu H; Sun G; Ren J; Zhang A; Jia X, 2022, 'Fusion of PCA and Segmented-PCA Domain Multiscale 2-D-SSA for Effective Spectral-Spatial Feature Extraction and Data Classification in Hyperspectral Imagery', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2020.3034656

Jia S; Liu X; Xu M; Yan Q; Zhou J; Jia X; Li Q, 2022, 'Gradient Feature-Oriented 3-D Domain Adaptation for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2021.3073699

Feng XR; Li HC; Wang R; Du Q; Jia X; Plaza A, 2022, 'Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, pp. 4414 - 4436, http://dx.doi.org/10.1109/JSTARS.2022.3175257

Ma TY; Li HC; Wang R; Du Q; Jia X; Plaza A, 2022, 'Lightweight Tensorized Neural Networks for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2022.3225438

Jia S; Wang Z; Li Q; Jia X; Xu M, 2022, 'Multiattention Generative Adversarial Network for Remote Sensing Image Super-Resolution', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2022.3180068

Bai L; Liu Q; Li C; Ye Z; Hui M; Jia X, 2022, 'Remote Sensing Image Scene Classification Using Multiscale Feature Fusion Covariance Network with Octave Convolution', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2022.3160492

Liu T; Gu Y; Yu W; Jia X; Chanussot J, 2022, 'Separable Coupled Dictionary Learning for Large-Scene Precise Classification of Multispectral Images', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2022.3217061

Zhang J; Jia X; Hu J, 2022, 'SP-RAN: Self-Paced Residual Aggregated Network for Solar Panel Mapping in Weakly Labeled Aerial Images', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2021.3123268

Zhang X; Sun G; Jia X; Wu L; Zhang A; Ren J; Fu H; Yao Y, 2022, 'Spectral-Spatial Self-Attention Networks for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2021.3102143

Zhang S; Tang D; Li N; Jia X; Jia S, 2022, 'Superpixel-Guided Variable Gabor Phase Coding Fusion for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2022.3151875

Farooq A; Jia X; Hu J; Zhou J, 2022, 'Transferable Convolutional Neural Network for Weed Mapping With Multisensor Imagery', IEEE Transactions on Geoscience and Remote Sensing, 60, http://dx.doi.org/10.1109/TGRS.2021.3102243

Zhang J; Jia X; Hu J, 2022, 'Uncertainty-Aware Forward Correction for Weakly Supervised Solar Panel Mapping from High-Resolution Aerial Images', IEEE Geoscience and Remote Sensing Letters, 19, http://dx.doi.org/10.1109/LGRS.2021.3132935

Huang X; Li S; Li J; Jia X; Li J; Zhu XX; Benediktsson JA, 2021, 'A Multispectral and Multiangle 3-D Convolutional Neural Network for the Classification of ZY-3 Satellite Images over Urban Areas', IEEE Transactions on Geoscience and Remote Sensing, 59, pp. 10266 - 10285, http://dx.doi.org/10.1109/TGRS.2020.3037211

Liu Q; Wu Z; Jia X; Xu Y; Wei Z, 2021, 'From local to global: Class feature fused fully convolutional network for hyperspectral image classification', Remote Sensing, 13, http://dx.doi.org/10.3390/rs13245043

Han B; Yin J; Luo X; Jia X, 2021, 'Multibranch Spatial-Channel Attention for Semantic Labeling of Very High-Resolution Remote Sensing Images', IEEE Geoscience and Remote Sensing Letters, 18, pp. 2167 - 2171, http://dx.doi.org/10.1109/LGRS.2020.3013253

Lei J; Li M; Xie W; Li Y; Jia X, 2021, 'Spectral mapping with adversarial learning for unsupervised hyperspectral change detection', Neurocomputing, 465, pp. 71 - 83, http://dx.doi.org/10.1016/j.neucom.2021.08.130

Zhang L; Zhang J; Ma J; Jia X, 2021, 'SC-PNN: Saliency Cascade Convolutional Neural Network for Pansharpening', IEEE Transactions on Geoscience and Remote Sensing, 59, pp. 9697 - 9715, http://dx.doi.org/10.1109/TGRS.2021.3054641

Pan C; Jia X; Li J; Gao X, 2021, 'Adaptive Edge Preserving Maps in Markov Random Fields for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, 59, pp. 8568 - 8583, http://dx.doi.org/10.1109/TGRS.2020.3035642

Niu C; Tan K; Jia X; Wang X, 2021, 'Deep learning based regression for optically inactive inland water quality parameter estimation using airborne hyperspectral imagery', Environmental Pollution, 286, http://dx.doi.org/10.1016/j.envpol.2021.117534

Xie W; Lei J; Fang S; Li Y; Jia X; Li M, 2021, 'Dual feature extraction network for hyperspectral image analysis', Pattern Recognition, 118, http://dx.doi.org/10.1016/j.patcog.2021.107992

Li L; Yin J; Jia X; Li S; Han B, 2021, 'Joint spatial-spectral attention network for hyperspectral image classification', IEEE Geoscience and Remote Sensing Letters, 18, pp. 1816 - 1820, http://dx.doi.org/10.1109/LGRS.2020.3007811

Song B; Li P; Jia X, 2021, 'New feature selection methods using sparse representation for one-class classification of remote sensing images', IEEE Geoscience and Remote Sensing Letters, 18, pp. 1761 - 1765, http://dx.doi.org/10.1109/LGRS.2020.3006830

Xie W; Zhang J; Lei J; Li Y; Jia X, 2021, 'Self-spectral learning with GAN based spectral–spatial target detection for hyperspectral image', Neural Networks, 142, pp. 375 - 387, http://dx.doi.org/10.1016/j.neunet.2021.05.029

Tan K; Jia X; Plaza A, 2021, 'Special Section Guest Editorial: Satellite Hyperspectral Remote Sensing: Algorithms and Applications', Journal of Applied Remote Sensing, 15, http://dx.doi.org/10.1117/1.JRS.15.042601

Yang X; Li S; Chen Z; Chanussot J; Jia X; Zhang B; Li B; Chen P, 2021, 'An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery', ISPRS Journal of Photogrammetry and Remote Sensing, 177, pp. 238 - 262, http://dx.doi.org/10.1016/j.isprsjprs.2021.05.004

Feng J; Zeng D; Jia X; Zhang X; Li J; Liang Y; Jiao L, 2021, 'Cross-frame keypoint-based and spatial motion information-guided networks for moving vehicle detection and tracking in satellite videos', ISPRS Journal of Photogrammetry and Remote Sensing, 177, pp. 116 - 130, http://dx.doi.org/10.1016/j.isprsjprs.2021.05.005

Jia S; Lin Z; Xu M; Huang Q; Zhou J; Jia X; Li Q, 2021, 'A Lightweight Convolutional Neural Network for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, 59, pp. 4150 - 4163, http://dx.doi.org/10.1109/TGRS.2020.3014313

Dong X; Wang L; Sun X; Jia X; Gao L; Zhang B, 2021, 'Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks', IEEE Transactions on Geoscience and Remote Sensing, 59, pp. 3473 - 3485, http://dx.doi.org/10.1109/TGRS.2020.3019660

Ou D; Tan K; Lai J; Jia X; Wang X; Chen Y; Li J, 2021, 'Semi-supervised DNN regression on airborne hyperspectral imagery for improved spatial soil properties prediction', Geoderma, 385, http://dx.doi.org/10.1016/j.geoderma.2020.114875

Gu Y; Liu T; Gao G; Ren G; Ma Y; Chanussot J; Jia X, 2021, 'Multimodal hyperspectral remote sensing: an overview and perspective', Science China Information Sciences, 64, http://dx.doi.org/10.1007/s11432-020-3084-1

Jia S; Zhan Z; Zhang M; Xu M; Huang Q; Zhou J; Jia X, 2021, 'Multiple Feature-Based Superpixel-Level Decision Fusion for Hyperspectral and LiDAR Data Classification', IEEE Transactions on Geoscience and Remote Sensing, 59, pp. 1437 - 1452, http://dx.doi.org/10.1109/TGRS.2020.2996599

Dong X; Sun X; Jia X; Xi Z; Gao L; Zhang B, 2021, 'Remote Sensing Image Super-Resolution Using Novel Dense-Sampling Networks', IEEE Transactions on Geoscience and Remote Sensing, 59, pp. 1618 - 1633, http://dx.doi.org/10.1109/TGRS.2020.2994253

Lei J; Yang G; Xie W; Li Y; Jia X, 2021, 'A Low-Complexity Hyperspectral Anomaly Detection Algorithm and Its FPGA Implementation', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 907 - 921, http://dx.doi.org/10.1109/JSTARS.2020.3034060

Wang L; Wang S; Jia X; Bi T, 2021, 'A Novel Hyperspectral Unmixing Method based on Least Squares Twin Support Vector Machines', European Journal of Remote Sensing, 54, pp. 72 - 85, http://dx.doi.org/10.1080/22797254.2021.1877572

Zhan T; Song B; Sun L; Jia X; Wan M; Yang G; Wu Z, 2021, 'TDSSC: A Three-Directions Spectral-Spatial Convolution Neural Network for Hyperspectral Image Change Detection', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 377 - 388, http://dx.doi.org/10.1109/JSTARS.2020.3037070

Jiao Z; Sun G; Zhang A; Jia X; Huang H; Yao Y, 2021, 'Water Benefit-Based Ecological Index for Urban Ecological Environment Quality Assessments', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 7557 - 7569, http://dx.doi.org/10.1109/JSTARS.2021.3098667

Chen W; Lee CY; Jia X; Qin Q-H, 2021, 'Neural Network with Particle Swarm Optimisation for Analysing Band Structure of Elastic Metamaterials', Current Mechanics and Advanced Materials, 1, http://dx.doi.org/10.2174/2666184501666210908120227

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