By Associate Professor Xiuping Jia

Journal articles

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

Zhu J; Hu J; Jia S; Jia X; Li Q, 2017, 'Multiple 3-D Feature Fusion Framework for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, 56, pp. 1873 - 1886, http://dx.doi.org/10.1109/TGRS.2017.2769113

Yin J; Qv H; Luo X; Jia X, 2017, 'Corrections to ''Segment-Oriented Depiction and Analysis for Hyperspectral Image Data''', IEEE Transactions on Geoscience and Remote Sensing, http://dx.doi.org/10.1109/TGRS.2017.2779458

Chen Y; Zhu L; Ghamisi P; Jia X; Li G; Tang L, 2017, 'Hyperspectral Images Classification with Gabor Filtering and Convolutional Neural Network', IEEE Geoscience and Remote Sensing Letters, 14, pp. 2355 - 2359, http://dx.doi.org/10.1109/LGRS.2017.2764915

Gu Y; Chanussot J; Jia X; Benediktsson JA, 2017, 'Multiple Kernel Learning for Hyperspectral Image Classification: A Review', IEEE Transactions on Geoscience and Remote Sensing, 55, pp. 6547 - 6565, http://dx.doi.org/10.1109/TGRS.2017.2729882

Sun G; Hao Y; Chen X; Ren J; Zhang A; Huang B; Zhang Y; Jia X, 2017, 'Dynamic post-earthquake image segmentation with an adaptive spectral-spatial descriptor', Remote Sensing, 9, pp. 899, http://dx.doi.org/10.3390/rs9090899

Chen Y; Li C; Ghamisi P; Jia X; Gu Y, 2017, 'Deep fusion of remote sensing data for accurate classification', IEEE Geoscience and Remote Sensing Letters, 14, pp. 1253 - 1257, http://dx.doi.org/10.1109/LGRS.2017.2704625

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