By Associate Professor Xiuping Jia

Journal articles

Yang Y; Tang X; Zhang X; Ma J; Liu F; Jia X; Jiao L, 2022, 'Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2022.3212985

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

Xie W; Li Y; Lei J; Yang J; Li J; Jia X; Li Z, 2020, 'Unsupervised spectral mapping and feature selection for hyperspectral anomaly detection', Neural Networks, 132, pp. 144 - 154, http://dx.doi.org/10.1016/j.neunet.2020.08.010

Hu J; Jia X; Li Y; He G; Zhao M, 2020, 'Hyperspectral Image Super-Resolution via Intrafusion Network', IEEE Transactions on Geoscience and Remote Sensing, 58, pp. 7459 - 7471, http://dx.doi.org/10.1109/TGRS.2020.2982940

Wang L; Wang S; Jia X; Li X, 2020, 'Twin support vector machine-based hyperspectral unmixing and its uncertainty analysis', Journal of Applied Remote Sensing, 14, http://dx.doi.org/10.1117/1.JRS.14.046504

Guo Y; Zhang J; Awan AF; Chen X; Jia X, 2020, 'Activities of the IEEE GRSS University of New South Wales Canberra Student Chapter [Chapters]', IEEE Geoscience and Remote Sensing Magazine, 8, pp. 102 - 103, http://dx.doi.org/10.1109/MGRS.2020.2997823

Sun G; Zhang X; Jia X; Ren J; Zhang A; Yao Y; Zhao H, 2020, 'Deep Fusion of Localized Spectral Features and Multi-scale Spatial Features for Effective Classification of Hyperspectral Images', International Journal of Applied Earth Observation and Geoinformation, 91, http://dx.doi.org/10.1016/j.jag.2020.102157

Zhang J; Jia X; Hu J; Chanussot J, 2020, 'Online structured sparsity-based moving-object detection from satellite videos', IEEE Transactions on Geoscience and Remote Sensing, 58, pp. 6420 - 6433, http://dx.doi.org/10.1109/TGRS.2020.2976855

Tan K; Niu C; Jia X; Ou D; Chen Y; Lei S, 2020, 'Complete and accurate data correction for seamless mosaicking of airborne hyperspectral images: A case study at a mining site in Inner Mongolia, China', ISPRS Journal of Photogrammetry and Remote Sensing, 165, pp. 1 - 15, http://dx.doi.org/10.1016/j.isprsjprs.2020.04.022

Jia S; Jia S; Jia S; Jia S; Deng X; Xu M; Xu M; Xu M; Xu M; Zhou J; Jia X, 2020, 'Superpixel-level weighted label propagation for hyperspectral image classification', IEEE Transactions on Geoscience and Remote Sensing, 58, pp. 5077 - 5091, http://dx.doi.org/10.1109/TGRS.2020.2972294

Zhang J; Jia X; Hu J, 2020, 'Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos', IEEE Transactions on Geoscience and Remote Sensing, 58, pp. 2659 - 2669, http://dx.doi.org/10.1109/TGRS.2019.2953181

Wang M; Tan K; Jia X; Wang X; Chen Y, 2020, 'A deep Siamese network with hybrid convolutional feature extraction module for change detection based on multi-sensor remote sensing images', Remote Sensing, 12, http://dx.doi.org/10.3390/rs12020205

Fu H; Sun G; Zabalza J; Zhang A; Ren J; Jia X, 2020, 'A Novel Spectral-Spatial Singular Spectrum Analysis Technique for near Real-Time in Situ Feature Extraction in Hyperspectral Imaging', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, pp. 2214 - 2225, http://dx.doi.org/10.1109/JSTARS.2020.2992230

Ren J; Hussain A; Han J; Jia X, 2019, 'Cognitive Modelling and Learning for Multimedia Mining and Understanding', Cognitive Computation, 11, pp. 761 - 762, http://dx.doi.org/10.1007/s12559-019-09684-6

Jia S; Zhuang J; Deng L; Zhu J; Xu M; Zhou J; Jia X, 2019, '3-D Gaussian-Gabor Feature Extraction and Selection for Hyperspectral Imagery Classification', IEEE Transactions on Geoscience and Remote Sensing, 57, pp. 8813 - 8826, http://dx.doi.org/10.1109/TGRS.2019.2923213

Chen X; Jia X; Pickering M, 2019, 'A Nighttime Lights Adjusted Impervious Surface Index (NAISI) with Integration of Landsat Imagery and Nighttime Lights Data from International Space Station', International Journal of Applied Earth Observation and Geoinformation, 83, http://dx.doi.org/10.1016/j.jag.2019.05.022

Chen Y; Huang L; Zhu L; Yokoya N; Jia X, 2019, 'Fine-grained classification of hyperspectral imagery based on deep learning', Remote Sensing, 11, http://dx.doi.org/10.3390/rs11222690

Xie W; Lei J; Liu B; Li Y; Jia X, 2019, 'Spectral constraint adversarial autoencoders approach to feature representation in hyperspectral anomaly detection', Neural Networks, 119, pp. 222 - 234, http://dx.doi.org/10.1016/j.neunet.2019.08.012

Zhang J; Jia X; Hu J, 2019, 'Local Region Proposing for Frame-Based Vehicle Detection in Satellite Videos', Remote Sensing, 11, pp. 2372 - 2372, http://dx.doi.org/10.3390/rs11202372

Jia S; Deng X; Zhu J; Xu M; Zhou J; Jia X, 2019, 'Collaborative representation-based multiscale superpixel fusion for hyperspectral image classification', IEEE Transactions on Geoscience and Remote Sensing, 57, pp. 7770 - 7784, http://dx.doi.org/10.1109/TGRS.2019.2916329

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