Journal articles

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

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

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

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

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

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

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

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

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, vol. 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, vol. 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, vol. 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, vol. 9, 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, vol. 14, pp. 1253 - 1257, http://dx.doi.org/10.1109/LGRS.2017.2704625

Lu T; Li S; Fang L; Jia X; Benediktsson JA, 2017, 'From Subpixel to Superpixel: A Novel Fusion Framework for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 4398 - 4411, http://dx.doi.org/10.1109/TGRS.2017.2691906

Guo Y; Jia X; Paull D, 2017, 'Superpixel-Based Adaptive Kernel Selection for Angular Effect Normalization of Remote Sensing Images With Kernel Learning', IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 4262 - 4271, http://dx.doi.org/10.1109/TGRS.2017.2689798

Yin J; Qv H; Luo X; Jia X, 2017, 'Segment-Oriented Depiction and Analysis for Hyperspectral Image Data', IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 3982 - 3996, http://dx.doi.org/10.1109/TGRS.2017.2686444

Wang Z; Du B; Zhang L; Zhang L; Jia X, 2017, 'A Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 3071 - 3083, http://dx.doi.org/10.1109/TGRS.2017.2650938

Gao L; Zhao B; Jia X; Liao W; Zhang B, 2017, 'Optimized kernel minimum noise fraction transformation for hyperspectral image classification', Remote Sensing, vol. 9, http://dx.doi.org/10.3390/rs9060548

Sun G; Zhang A; Ren J; Ma J; Wang P; Zhang Y; Jia X, 2017, 'Gravitation-based edge detection in hyperspectral images', Remote Sensing, vol. 9, http://dx.doi.org/10.3390/rs9060592

Jia S; Deng B; Zhu J; Jia X; Li Q, 2017, 'Superpixel-based multitask learning framework for hyperspectral image classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 2575 - 2588, http://dx.doi.org/10.1109/TGRS.2017.2647815

Jia S; Hu J; Zhu J; Jia X; Li Q, 2017, 'Three-Dimensional Local Binary Patterns for Hyperspectral Imagery Classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 2399 - 2413, http://dx.doi.org/10.1109/TGRS.2016.2642951

Fu Y; Zhao C; Wang J; Jia X; Yang G; Song X; Feng H, 2017, 'An improved combination of spectral and spatial features for vegetation classification in hyperspectral images', Remote Sensing, vol. 9, http://dx.doi.org/10.3390/rs9030261

Liu Y; Li J; Du P; Plaza A; Jia X; Zhang X, 2017, 'Class-Oriented Spectral Partitioning for Remotely Sensed Hyperspectral Image Classification', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, pp. 691 - 711, http://dx.doi.org/10.1109/JSTARS.2016.2588980

Li F; Xin L; Guo Y; Gao J; Jia X, 2017, 'A Framework of Mixed Sparse Representations for Remote Sensing Images', IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 1210 - 1221, http://dx.doi.org/10.1109/TGRS.2016.2621123

Zhao C; Zhao G; Jia X, 2017, 'Hyperspectral Image Unmixing Based on Fast Kernel Archetypal Analysis', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, pp. 331 - 346, http://dx.doi.org/10.1109/JSTARS.2016.2606504

Sun G; Chen X; Ren J; Zhang A; Jia X, 2017, 'Stratified spectral mixture analysis of medium resolution imagery for impervious surface mapping', International Journal of Applied Earth Observation and Geoinformation, vol. 60, pp. 38 - 48, http://dx.doi.org/10.1016/j.jag.2017.04.006

Trisasongko BH; Panuju DR; Paull DJ; Jia X; Griffin AL, 2017, 'Comparing six pixel-wise classifiers for tropical rural land cover mapping using four forms of fully polarimetric SAR data', INTERNATIONAL JOURNAL OF REMOTE SENSING, vol. 38, pp. 3274 - 3293, http://dx.doi.org/10.1080/01431161.2017.1292072

Liu T; Gu Y; Jia X; Benediktsson JA; Chanussot J, 2016, 'Class-Specific Sparse Multiple Kernel Learning for Spectral-Spatial Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 7351 - 7365, http://dx.doi.org/10.1109/TGRS.2016.2600522

Li S; Lu T; Fang L; Jia X; Benediktsson JA, 2016, 'Probabilistic Fusion of Pixel-Level and Superpixel-Level Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 7416 - 7420, http://dx.doi.org/10.1109/TGRS.2016.2603190

Li S; Ni L; Jia X; Gao L; Zhang B; Peng M, 2016, 'Multi-scale superpixel spectral–spatial classification of hyperspectral images', International Journal of Remote Sensing, vol. 37, pp. 4905 - 4922, http://dx.doi.org/10.1080/01431161.2016.1225175

Chen Y; Jiang H; Li C; Jia X; Ghamisi P, 2016, 'Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 6232 - 6251, http://dx.doi.org/10.1109/TGRS.2016.2584107

Sun G; Zhang A; Jia X; Li X; Ji S; Wang Z, 2016, 'DMMOGSA: Diversity-enhanced and memory-based multi-objective gravitational search algorithm', Information Sciences, vol. 363, pp. 52 - 71, http://dx.doi.org/10.1016/j.ins.2016.05.007

Yin J; Yu W; Jia X, 2016, 'Hybrid Norm Pursuit Method for Hyperspectral Image Reconstruction', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, pp. 4492 - 4500, http://dx.doi.org/10.1109/JSTARS.2016.2535467

Li X; Jia X; Wang L; Zhao K, 2016, 'Reduction of Spectral Unmixing Uncertainty Using Minimum-Class-Variance Support Vector Machines', IEEE Geoscience and Remote Sensing Letters, vol. 13, pp. 1335 - 1339, http://dx.doi.org/10.1109/LGRS.2016.2584660

Zhao G; Zhao C; Jia X, 2016, 'Multilayer Unmixing for Hyperspectral Imagery with Fast Kernel Archetypal Analysis', IEEE Geoscience and Remote Sensing Letters, vol. PP, http://dx.doi.org/10.1109/LGRS.2016.2595102

Jia S; Hu J; Xie Y; Shen L; Jia X; Li Q, 2016, 'Gabor Cube Selection Based Multitask Joint Sparse Representation for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 3174 - 3187, http://dx.doi.org/10.1109/TGRS.2015.2513082

Gu Y; Liu T; Jia X; Benediktsson JA; Chanussot J, 2016, 'Nonlinear Multiple Kernel Learning with Multiple-Structure-Element Extended Morphological Profiles for Hyperspectral Image Classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 3235 - 3247, http://dx.doi.org/10.1109/TGRS.2015.2514161

Sun G; Chen X; Jia X; Yao Y; Wang Z, 2016, 'Combinational Build-Up Index (CBI) for Effective Impervious Surface Mapping in Urban Areas', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, pp. 2081 - 2092, http://dx.doi.org/10.1109/JSTARS.2015.2478914

Xu M; Jia X; Pickering M; Plaza AJ, 2016, 'Cloud removal based on sparse representation via multitemporal dictionary learning', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 2998 - 3006, http://dx.doi.org/10.1109/TGRS.2015.2509860

Chen T; Niu R; Jia X, 2016, 'A comparison of information value and logistic regression models in landslide susceptibility mapping by using GIS', Environmental Earth Sciences, vol. 75, http://dx.doi.org/10.1007/s12665-016-5317-y

Hossain MA; Jia X; Benediktsson JA, 2016, 'One-Class Oriented Feature Selection and Classification of Heterogeneous Remote Sensing Images', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, pp. 1606 - 1612, http://dx.doi.org/10.1109/JSTARS.2015.2506268

Xu M; Pickering M; Plaza AJ; Jia X, 2016, 'Thin cloud removal based on signal transmission principles and spectral mixture analysis', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, pp. 1659 - 1669, http://dx.doi.org/10.1109/TGRS.2015.2486780

Li J; Khodadadzadeh M; Plaza A; Jia X; Bioucas-Dias JM, 2016, 'A Discontinuity Preserving Relaxation Scheme for Spectral-Spatial Hyperspectral Image Classification', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, pp. 625 - 639, http://dx.doi.org/10.1109/JSTARS.2015.2470129

Zhang G; Jia X; Hu J, 2015, 'Superpixel-based graphical model for remote sensing image mapping', IEEE Transactions on Geoscience and Remote Sensing, vol. 53, pp. 5861 - 5871, http://dx.doi.org/10.1109/TGRS.2015.2423688

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