Associate Professor Xiuping Jia

Research Reporting and Communication Coordinator
School of Engineering and Information Technology
Sino Australian Research Centre for Coastal Management
Space Research
+61 2 6268 8202
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

Karan PP, 2015, 'Land, life, and environmental change in the himalaya', in Spatial Diversity and Dynamics in Resources and Urban Development: Volume 1: Regional Resources, pp. 223 - 234, 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

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

Jia X; Richards JA, 2006, 'Hyperspectral Data Representation', in Hyperspectral Data Exploitation: Theory and Applications, pp. 205 - 225, http://dx.doi.org/10.1002/9780470124628.ch8

Journal articles

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

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, http://dx.doi.org/10.3390/rs11080952

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

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

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

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

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

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

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

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, http://dx.doi.org/10.3390/rs11080931

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Li N; Huang X; Zhao H; Qiu X; Geng R; Jia X; Wang D, 2018, 'Multiparameter Optimization for Mineral Mapping Using Hyperspectral Imagery', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, pp. 1348 - 1357, http://dx.doi.org/10.1109/JSTARS.2018.2814617

Shen H; Jia X; Bioucas-Dias JM; Dobigeon N; Cui Y; Pacifici F, 2018, 'Foreword to the special issue on quality improvements of remote sensing data', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, pp. 687 - 690, http://dx.doi.org/10.1109/JSTARS.2018.2807998

Gao Q; Lim S; Jia X, 2018, 'Hyperspectral image classification using convolutional neural networks and multiple feature learning', Remote Sensing, vol. 10, http://dx.doi.org/10.3390/rs10020299

Guo Y; Jia X; Paull D, 2018, 'Effective sequential classifier training for SVM-based multitemporal remote sensing image classification', IEEE Transactions on Image Processing, vol. 27, pp. 3036 - 3048, http://dx.doi.org/10.1109/TIP.2018.2808767

Wang T; Zhang H; Lin H; Jia X, 2018, 'A Sparse Representation Method for a Priori Target Signature Optimization in Hyperspectral Target Detection', IEEE Access, vol. 6, pp. 3408 - 3424, http://dx.doi.org/10.1109/ACCESS.2017.2773662

Tan K; Wang H; Zhang Q; Jia X, 2018, 'An improved estimation model for soil heavy metal(loid) concentration retrieval in mining areas using reflectance spectroscopy', Journal of Soils and Sediments, vol. 18, pp. 2008 - 2022, http://dx.doi.org/10.1007/s11368-018-1930-6

Jia S; Deng B; Zhu J; Jia X; Li Q, 2018, 'Local Binary Pattern-Based Hyperspectral Image Classification with Superpixel Guidance', IEEE Transactions on Geoscience and Remote Sensing, vol. 56, pp. 749 - 759, http://dx.doi.org/10.1109/TGRS.2017.2754511

Zhang A; Sun G; Ren J; Li X; Wang Z; Jia X, 2018, 'A dynamic neighborhood learning-based gravitational search algorithm', IEEE Transactions on Cybernetics, vol. 48, pp. 436 - 447, http://dx.doi.org/10.1109/TCYB.2016.2641986

Li F; Xin L; Guo Y; Gao D; Kong X; Jia X, 2018, 'Super-resolution for GaoFen-4 remote sensing images', IEEE Geoscience and Remote Sensing Letters, vol. 15, pp. 28 - 32, http://dx.doi.org/10.1109/LGRS.2017.2768331

Gao Q; Lim S; Jia X, 2018, 'Hyperspectral image classification using joint sparse model and discontinuity preserving relaxation', IEEE Geoscience and Remote Sensing Letters, vol. 15, pp. 78 - 82, http://dx.doi.org/10.1109/LGRS.2017.2774253

Sun G; Ma P; Ren J; Zhang A; Jia X, 2018, 'A stability constrained adaptive alpha for gravitational search algorithm', Knowledge-Based Systems, vol. 139, pp. 200 - 213, http://dx.doi.org/10.1016/j.knosys.2017.10.018

Du B; Huang Z; Wang N; Zhang Y; Jia X, 2018, 'Joint weighted nuclear norm and total variation regularization for hyperspectral image denoising', International Journal of Remote Sensing, vol. 39, pp. 334 - 355, http://dx.doi.org/10.1080/01431161.2017.1382742