Associate Professor Xiuping Jia

Senior Lecturer - Electrical Engineering
School of Engineering and Information Technology
UNSW Canberra Space
+61 2 5114 5161
88443
  • ABOUT
  • PUBLICATIONS

Xiuping Jia received the B.Eng. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 1982 and the Ph.D. degree in electrical engineering from The University of New South Wales, Australia, in 1996. Since 1988, she has been with the School of Engineering and Information Technology, University College, The University of New South Wales, Australian Defence Force Academy, Canberra, Australia, where she is currently a Senior Lecturer.

Dr. Jia’s research areas are image processing, data analysis and remote sensing applications. The projects she has been involved in and supervised range from image registration, data compression, feature reduction, to spectral-spatial based classification. Subpixel mapping has been addressed in recent years via spectral unmixing techniques and super resolution reconstruction approaches. She is the author or coauthor of over 100 publications on remote sensing image analysis, including journal papers, book chapters, and peer reviewed conference proceedings. Dr. Jia is the coauthor of the remote sensing textbook entitled Remote Sensing Digital Image Analysis [Springer-Verlag, 3rd (1999) and 4th eds. (2006)]. She was a visiting scholar at several organizations during her sabbatical leaves, including Purdue University, USA, Australian National University, Australia, Beijing Normal University, The Chinese University of Hong Kong, and The Chinese Academy of Sciences, China. Dr. Jia has given invited talks to the remote sensing research groups in several organizations, such as, The Harbin Institute of Technology, China, ITC, Netherlands, CSIR in South Africa, Rochester Institute of Technology, USA, Center for Space and Remote Sensing Research, Taiwen, Shenzhen Institutes of Advanced Technology, China, The University of Copenhagen, Denmark. She delivered a plenary talk at the 2nd Workshop on Hyperspectral Image and Signal Processing, Iceland, 2010.Dr. Jia is a Guest Professor of Harbin Engineering University, China. She chairs the GRSS chapter of ACT&NSW section, Australia. She is an Associate Editor of IEEE Transaction on Geoscience and Remote Sensing.

Books

Jia X; Richards JA, 1999, Remote Sensing Digital Image Analysis, Original, Springer-Verlag, Berlin, Germany

Book Chapters

Jia X, 2017, 'Supervised classification', in Richardson D (ed.), International Encyclopedia of Geography, 15 Volume Set People, the Earth, Environment and Technology, John Wiley & Sons

Sarker CD; Jia X; Fraser D, 2015, 'Spectral unmixing with estimated adaptive endmember index using extended support vector machine', in Dutt AK; Noble A; Costa F; Thakur S; Thakur R; Sharma HA (ed.), Spatial Diversity and Dynamics in Resources and Urban Development: Volume 1: Regional Resources, Springer, pp. 37 - 72, http://dx.doi.org/10.1007/978-94-017-9771-9

Ng TF; Jia X; Fraser D; Pham TD, 2013, 'Fuzzy knowledge-based subspace clustering for life science data analysis', in Pham TD; Jain LC (ed.), Knowledge-Based Systems in Biomedicine and Computational Life Science, Springer, pp. 177 - 213, http://dx.doi.org/10.1007/978-3-642-33015-5_8

Li F; Jia X; Fraser D; Lambert AJ, 2012, 'Super Resolution for multispectral image classification', in Gunturk BK; Li X (ed.), Image Restoration: fundamentals and advances, edn. 1, CRC Press, pp. 217 - 247

Jia X; Richards J, 2007, 'Hyperspectral Data Representation', in Chang CI (ed.), Hyperspectral Data Exploitation ? Theory and Applications, John Wiley & Sons, Hoboken, New Jersey, USA, pp. 205 - 225, http://dx.doi.org/10.1002/9780470124628.ch8

Wang L; Jia X; Zhang Y, 2006, 'Construction of Fast and Robust N-FINDR Algorithm', in Huang D; Irwin G (ed.), Intelligent Computing in Signal Processing and Pattern Recognition International Conference on Intelligent Computing, August, 2006, Springer Verlag, pp. 791 - 796

Journal articles

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, vol. 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, vol. 58, pp. 7459 - 7471, http://dx.doi.org/10.1109/TGRS.2020.2982940

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, vol. 8, pp. 102 - 103, http://dx.doi.org/10.1109/MGRS.2020.2997823

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, vol. 58, pp. 6420 - 6433, http://dx.doi.org/10.1109/TGRS.2020.2976855

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, vol. 58, pp. 5077 - 5091, http://dx.doi.org/10.1109/TGRS.2020.2972294

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, vol. 165, pp. 1 - 15, http://dx.doi.org/10.1016/j.isprsjprs.2020.04.022

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, vol. 58, pp. 2659 - 2669, http://dx.doi.org/10.1109/TGRS.2019.2953181

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, vol. 13, pp. 2214 - 2225, http://dx.doi.org/10.1109/JSTARS.2020.2992230

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, vol. 12, pp. 205 - 205, http://dx.doi.org/10.3390/rs12020205

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

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

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, vol. 57, pp. 8813 - 8826, http://dx.doi.org/10.1109/TGRS.2019.2923213

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, vol. 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, vol. 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, vol. 57, pp. 7770 - 7784, http://dx.doi.org/10.1109/TGRS.2019.2916329

Gao Q; Lim S; Jia X, 2019, 'Spectral-spatial hyperspectral image classification using a multiscale conservative smoothing scheme and adaptive sparse representation', IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 7718 - 7730, http://dx.doi.org/10.1109/TGRS.2019.2915809

Guo Y; Jia X; Paull D; Benediktsson JA, 2019, 'Nomination-favoured opinion pool for optical-SAR-synergistic rice mapping in face of weakened flooding signals', ISPRS Journal of Photogrammetry and Remote Sensing, vol. 155, pp. 187 - 205, http://dx.doi.org/10.1016/j.isprsjprs.2019.07.008

H. Trisasongko B; J. Paull D; Griffin AL; Jia X; Panuju DR, 2019, 'On the relationship between the circumference of rubber trees and L-band waves', International Journal of Remote Sensing, vol. 40, pp. 6395 - 6417, http://dx.doi.org/10.1080/01431161.2019.1591650

Xie W; Jia X; Li Y; Lei J, 2019, 'Hyperspectral Image Super-Resolution Using Deep Feature Matrix Factorization', IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 6055 - 6067, http://dx.doi.org/10.1109/TGRS.2019.2904108

Xie W; Jiang T; Li Y; Jia X; Lei J, 2019, 'Structure Tensor and Guided Filtering-Based Algorithm for Hyperspectral Anomaly Detection', IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 4218 - 4230, http://dx.doi.org/10.1109/TGRS.2018.2890212

Chen Y; Wang Y; Gu Y; He X; Ghamisi P; Jia X, 2019, 'Deep Learning Ensemble for Hyperspectral Image Classification', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, pp. 1882 - 1897, http://dx.doi.org/10.1109/JSTARS.2019.2915259

Li J; Huang X; Hu T; Jia X; Benediktsson JA, 2019, 'A novel unsupervised sample collection method for urban land-cover mapping using landsat imagery', IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 3933 - 3951, http://dx.doi.org/10.1109/TGRS.2018.2889109

Sun G; Huang H; Weng Q; Zhang A; Jia X; Ren J; Sun L; Chen X, 2019, 'Combinational shadow index for building shadow extraction in urban areas from Sentinel-2A MSI imagery', International Journal of Applied Earth Observation and Geoinformation, vol. 78, pp. 53 - 65, http://dx.doi.org/10.1016/j.jag.2019.01.012

Deng Y; Wu C; Zhang X; Jia X, 2019, 'Examining the effectiveness of weighted spectral mixture analysis (WSMA) in urban environments', International Journal of Remote Sensing, vol. 40, pp. 3055 - 3075, http://dx.doi.org/10.1080/01431161.2018.1539270

Tien Bui D; Shahabi H; Omidvar E; Shirzadi A; Geertsema M; Clague J; Khosravi K; Pradhan B; Pham B; Chapi K; Barati Z; Bin Ahmad B; Rahmani H; Gróf G; Lee S, 2019, 'Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm', Remote Sensing, vol. 11, pp. 931 - 931, http://dx.doi.org/10.3390/rs11080931

Zhang A; Sun G; Ma P; Jia X; Ren J; Huang H; Zhang X, 2019, 'Coastal wetland mapping with Sentinel-2 MSI imagery based on gravitational optimized multilayer perceptron and morphological attribute profiles', Remote Sensing, vol. 11, pp. 1 - 23, http://dx.doi.org/10.3390/rs11080952

Xie W; Shi Y; Li Y; Jia X; Lei J, 2019, 'High-quality spectral-spatial reconstruction using saliency detection and deep feature enhancement', Pattern Recognition, vol. 88, pp. 139 - 152, http://dx.doi.org/10.1016/j.patcog.2018.11.004

Luo X; Yin J; Luo X; Jia X, 2019, 'A novel adversarial based hyperspectral and multispectral image fusion', Remote Sensing, vol. 11, http://dx.doi.org/10.3390/rs11050492

Xu M; Jia X; Pickering M; Jia S, 2019, 'Thin cloud removal from optical remote sensing images using the noise-adjusted principal components transform', ISPRS Journal of Photogrammetry and Remote Sensing, vol. 149, pp. 215 - 225, http://dx.doi.org/10.1016/j.isprsjprs.2019.01.025

Ren J; Jia X; Liao W; Gao L, 2019, 'Guest editorial: Hyperspectral imaging and applications', IET Image Processing, vol. 13, pp. 233 - 234, http://dx.doi.org/10.1049/iet-ipr.2018.6533

Zhu K; Chen Y; Ghamisi P; Jia X; Benediktsson JA, 2019, 'Deep convolutional capsule network for hyperspectral image spectral and spectral-spatial classification', Remote Sensing, vol. 11, http://dx.doi.org/10.3390/rs11030223

Gao L; He Y; Sun X; Jia X; Zhang B, 2019, 'Incorporating negative sample training for ship detection based on deep learning', Sensors (Switzerland), vol. 19, http://dx.doi.org/10.3390/s19030684

Farooq A; Hu J; Jia X, 2019, 'Analysis of Spectral Bands and Spatial Resolutions for Weed Classification Via Deep Convolutional Neural Network', IEEE Geoscience and Remote Sensing Letters, vol. 16, pp. 183 - 187, http://dx.doi.org/10.1109/LGRS.2018.2869879

Jia S; Wu K; Zhu J; Jia X, 2019, 'Spectral-spatial gabor surface feature fusion approach for hyperspectral imagery classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 57, pp. 1142 - 1154, http://dx.doi.org/10.1109/TGRS.2018.2864983

Farooq A; Jia X; Hu J; Zhou J, 2019, 'Multi-resolution weed classification via convolutional neural network and superpixel based local binary pattern using remote sensing images', Remote Sensing, vol. 11, http://dx.doi.org/10.3390/rs11141692

Sun G; Kong Y; Jia X; Zhang A; Rong J; Ma H, 2019, 'Synergistic Use of Optical and Dual-Polarized SAR Data with Multiple Kernel Learning for Urban Impervious Surface Mapping', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, pp. 223 - 236, http://dx.doi.org/10.1109/JSTARS.2018.2883654

Qv H; Yin J; Luo X; Jia X, 2018, 'Band dual density discrimination analysis for hyperspectral image classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 56, pp. 7257 - 7271, http://dx.doi.org/10.1109/TGRS.2018.2849881

Xu J; Hu J; Jia X, 2018, 'A target image–oriented dictionary learning–based method for fully automated latent fingerprint forensic', Computational Intelligence, vol. 34, pp. 1178 - 1198, http://dx.doi.org/10.1111/coin.12177

Xie W; Li Y; Jia X, 2018, 'Deep convolutional networks with residual learning for accurate spectral-spatial denoising', Neurocomputing, vol. 312, pp. 372 - 381, http://dx.doi.org/10.1016/j.neucom.2018.05.115

Alam FI; Zhou J; Liew AWC; Jia X; Chanussot J; Gao Y, 2018, 'Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, pp. 1 - 17, http://dx.doi.org/10.1109/TGRS.2018.2867679

Zhang G; Zhang R; Zhou G; Jia X, 2018, 'Hierarchical spatial features learning with deep cnns for very high-resolution remote sensing image classification', International Journal of Remote Sensing, vol. 39, pp. 5978 - 5996, http://dx.doi.org/10.1080/01431161.2018.1506593

Gao Q; Lim S; Jia X, 2018, 'Improved joint sparse models for hyperspectral image classification based on a novel neighbour selection strategy', Remote Sensing, vol. 10, http://dx.doi.org/10.3390/rs10060905

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