By Associate Professor Xiuping Jia

Journal articles

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

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, 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, 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, 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, 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, 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, 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, 78, pp. 53 - 65, http://dx.doi.org/10.1016/j.jag.2019.01.012

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, 12, pp. 1882 - 1897, http://dx.doi.org/10.1109/JSTARS.2019.2915259

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, 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, 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, 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, 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, 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, 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, 13, pp. 233 - 234, http://dx.doi.org/10.1049/iet-ipr.2018.6533

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, 16, pp. 183 - 187, http://dx.doi.org/10.1109/LGRS.2018.2869879

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, 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), 19, http://dx.doi.org/10.3390/s19030684

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, 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, 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, 12, pp. 223 - 236, http://dx.doi.org/10.1109/JSTARS.2018.2883654

Plaza A; Jia X; Judge J; Moreira A, 2019, 'Awards Presented at the IGARSS 2019 Banquet [Conference Reports]', IEEE Geoscience and Remote Sensing Magazine, 7, pp. 49 - 56, http://dx.doi.org/10.1109/mgrs.2019.2947403

Moreira A; Jia X; Judge J; Plaza A, 2019, 'IGARSS in Yokohama, Japan: Impressions From the First Days [Conference Reports]', IEEE Geoscience and Remote Sensing Magazine, 7, pp. 8 - 19, http://dx.doi.org/10.1109/mgrs.2019.2934948

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, 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, 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, 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, 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, 10, pp. 905, http://dx.doi.org/10.3390/rs10060905

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, 18, pp. 2008 - 2022, http://dx.doi.org/10.1007/s11368-018-1930-6

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, 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, 11, pp. 687 - 690, http://dx.doi.org/10.1109/JSTARS.2018.2807998

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

Gao Q; Lim S; Jia X, 2018, 'Hyperspectral image classification using convolutional neural networks and multiple feature learning', Remote Sensing, 10, pp. 299, http://dx.doi.org/10.3390/rs10020299

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, 56, pp. 749 - 759, http://dx.doi.org/10.1109/TGRS.2017.2754511

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, 39, pp. 334 - 355, http://dx.doi.org/10.1080/01431161.2017.1382742

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, 48, pp. 436 - 447, http://dx.doi.org/10.1109/TCYB.2016.2641986

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, 6, pp. 3408 - 3424, http://dx.doi.org/10.1109/ACCESS.2017.2773662

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

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

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, 15, pp. 28 - 32, http://dx.doi.org/10.1109/LGRS.2017.2768331

Hallikainen M; Moreira A; Wiesbeck W; Jia X; Judge J, 2018, 'Awards Presented at the IGARSS 2018 Banquet: THE IEEE Geoscience and Remote Sensing Society Awards Committee Cochairs [Conference Reports]', IEEE Geoscience and Remote Sensing Magazine, 6, pp. 74 - 110, http://dx.doi.org/10.1109/mgrs.2018.2871592

Moreira A; Wiesbeck W; Hallikainen M; Judge J; Jia X, 2018, 'IGARSS in Valencia, Spain: Impressions from the First Days [Conference Reports]', IEEE Geoscience and Remote Sensing Magazine, 6, pp. 63 - 73, http://dx.doi.org/10.1109/mgrs.2018.2868003

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