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ORCIDSen Jia 0001
Person information
- affiliation: Shenzhen University, College of Computer Science and Software Engineering, Shenzhen, China
- affiliation (PhD 2007): Zhejiang University, College of Computer Science, Hangzhou, China
Other persons with the same name
- Sen Jia — disambiguation page
- Sen Jia 0002
![[0000-0001-7104-034X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-7104-034X")
— LG Electronics, Toronto AI Lab, Toronto, ON, Canada (and 3 more) - Sen Jia 0003 — Shandong University, Jinan, China (and 1 more)
- Sen Jia 0004 — Xidian University, Intelligent Perception and Image Understanding Lab, Xi'an, China
- Sen Jia 0005 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen, China (and 1 more)
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2020 – today
- 2024
[j69]Wangquan He, Xiyou Fu, Nanying Li, Qi Ren, Sen Jia:
LGCT: Local-Global Collaborative Transformer for Fusion of Hyperspectral and Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024)- [j68]Sen Jia, Yifan Wang, Shuguo Jiang, Ruyan He:
A Center-Masked Transformer for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j67]Shuguo Jiang, Nanying Li, Meng Xu, Shuyu Zhang, Sen Jia:
SQformer: Spectral-Query Transformer for Hyperspectral Image Arbitrary-Scale Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j66]Nanying Li, Shuguo Jiang, Jiaqi Xue, Songxin Ye, Sen Jia:
Texture-Aware Self-Attention Model for Hyperspectral Tree Species Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j65]Yaqian Long, Songxin Ye, Liqiong Wang, Weixi Wang, Xiaomei Liao, Sen Jia:
Scale Pyramid Graph Network for Hyperspectral Individual Tree Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j64]Shuyu Zhang, Fan Gao, Zhaoji Shi, Chuhong Wu, Zhiyuan Zhang, Yan Li, Xiaomei Liao, Lin Mu, Sen Jia:
Vertical Attention-Based Siamese ConvLSTM Network for Argo Data Error Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j63]Shuyu Zhang, Yizhou Yang, Kangwen Xie, Jiahao Gao, Zhiyuan Zhang, Qianru Niu, Gongjie Wang, Zhihui Che, Lin Mu, Sen Jia:
Spatial-Temporal Siamese Convolutional Neural Network for Subsurface Temperature Reconstruction. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j62]Sen Jia, Shuguo Jiang, Shuyu Zhang, Meng Xu, Xiuping Jia:
Graph-in-Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1157-1171 (2024) - [c56]Wangquan He, Qi Ren, Hongtao Zhang, Ziqian Mo, Nanying Li, Meng Xu, Sen Jia:
DeSAM2: Detection-Driven SAM2 for Hyperspectral Object Tracking. WHISPERS 2024: 1-5 - 2023
- [j61]Sen Jia, Zhichao Min, Xiyou Fu:
Multiscale spatial-spectral transformer network for hyperspectral and multispectral image fusion. Inf. Fusion 96: 117-129 (2023) - [j60]Xiyou Fu, Yujuan Guo, Meng Xu, Sen Jia:
Hyperspectral Image Denoising via Robust Subspace Estimation and Group Sparsity Constraint. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j59]Xiyou Fu, Hong Liang, Sen Jia:
Mixed Noise-Oriented Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j58]Yujuan Guo, Xiyou Fu, Meng Xu, Sen Jia:
Stereo Cross-Attention Network for Unregistered Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j57]Sen Jia, Dongsheng Bi, Jianhui Liao, Shuguo Jiang, Meng Xu, Shuyu Zhang:
Structure-Adaptive Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j56]Sen Jia, Xi Zhou, Shuguo Jiang, Ruyan He:
Collaborative Contrastive Learning for Hyperspectral and LiDAR Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j55]Sen Jia, Shuangzhao Zhu, Zhihao Wang, Meng Xu, Weixi Wang, Yujuan Guo:
Diffused Convolutional Neural Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j54]Yaqian Long, Xun Wang, Meng Xu, Shuyu Zhang, Shuguo Jiang, Sen Jia:
Dual Self-Attention Swin Transformer for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j53]Meng Xu, Yanxin Peng, Ying Zhang, Xiuping Jia, Sen Jia:
AACNet: Asymmetric Attention Convolution Network for Hyperspectral Image Dehazing. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j52]Shuyu Zhang, Yuesen Deng, Qianru Niu, Zhiyuan Zhang, Zhihui Che, Sen Jia, Lin Mu:
Multivariate Temporal Self-Attention Network for Subsurface Thermohaline Structure Reconstruction. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [c55]Jiaqi Xue, Wangquan He, Songxin Ye, Hong Liang, Sen Jia:
MCARNet: Mixed Convolution-Attention-Residual Network for Hyperspectral Image Classification of Cholangiocarcinoma. ICCPR 2023: 324-330 - 2022
- [j51]Xiyou Fu, Sen Jia, Meng Xu, Jun Zhou, Qingquan Li:
Sparsity Constrained Fusion of Hyperspectral and Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j50]Xiyou Fu, Sen Jia, Meng Xu, Jun Zhou, Qingquan Li:
Fusion of Hyperspectral and Multispectral Images Accounting for Localized Inter-Image Changes. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j49]Sen Jia, Shuguo Jiang, Zhijie Lin, Meng Xu, Weiwei Sun, Qiang Huang, Jiasong Zhu, Xiuping Jia:
A Semisupervised Siamese Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j48]Sen Jia, Jianhui Liao, Meng Xu, Yan Li, Jiasong Zhu, Weiwei Sun, Xiuping Jia, Qingquan Li:
3-D Gabor Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j47]Sen Jia, Xiaomei Liu, Meng Xu, Qiao Yan, Jun Zhou, Xiuping Jia, Qingquan Li:
Gradient Feature-Oriented 3-D Domain Adaptation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j46]Sen Jia, Zhihao Wang, Qingquan Li, Xiuping Jia, Meng Xu:
Multiattention Generative Adversarial Network for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j45]Sen Jia, Yue Yuan, Nanying Li, Jianhui Liao, Qiang Huang, Xiuping Jia, Meng Xu:
A Multiscale Superpixel-Level Group Clustering Framework for Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j44]Meng Xu, Qingqing Zhao, Sen Jia:
Multiview Spatial-Spectral Active Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j43]Shuyu Zhang, Dingding Tang, Nanying Li, Xiuping Jia, Sen Jia:
Superpixel-Guided Variable Gabor Phase Coding Fusion for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j42]Shuyu Zhang, Meng Xu, Jun Zhou, Sen Jia:
Unsupervised Spatial-Spectral CNN-Based Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j41]Yingying Zhu, Bin Sun, Xiufan Lu, Sen Jia:
Geographic Semantic Network for Cross-View Image Geo-Localization. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c54]Meng Xu, Mingying Lin, Qi Ren, Sen Jia:
SSTHyper: Sparse Spectral Transformer for Hyperspectral Image Reconstruction. ACCV (4) 2022: 142-159 - [c53]Meng Xu, Jiayou Mao, Ziqian Mo, Xiyou Fu, Sen Jia:
Spectral Modality-Aware Interactive Fusion Network for HSI Super-Resolution. ACCV (4) 2022: 301-317 - [c52]Yifan Wang, Shuguo Jiang, Meng Xu, Shuyu Zhang, Sen Jia:
A Center-Masked Convolutional Transformer for Hyperspectral Image Classification. CDCEO@IJCAI 2022: 1-6 - [c51]Songxin Ye, Nanying Li, Jiaqi Xue, Yaqian Long, Sen Jia:
HSI-DETR: A DETR-based Transfer Learning from RGB to Hyperspectral Images for Object Detection of Live and Dead Cells: To achieve better results, convert models with the fewest changes from RGB to HSI. ICCPR 2022: 102-107 - [c50]Hong Liang, Nanying Li, Jiaqi Xue, Yaqian Long, Sen Jia:
Principal component self-attention mechanism for melanoma hyperspectral image recognition. ICCPR 2022: 243-248 - [c49]Nanying Li, Jiaqi Xue, Sen Jia:
Spectral Context-aware Transformer for Cholangiocarcinoma Hyperspectral Image Segmentation. ICIGP 2022: 209-213 - [i5]Sen Jia, Yifan Wang:
Multiscale Convolutional Transformer with Center Mask Pretraining for Hyperspectral Image Classification. CoRR abs/2203.04771 (2022) - 2021
- [j40]Yaqian Long, Benoit Rivard, Arturo Sanchez-Azofeifa, Russell Greiner, Dominica Harrison, Sen Jia:
Identification of spectral features in the longwave infrared (LWIR) spectra of leaves for the discrimination of tropical dry forest tree species. Int. J. Appl. Earth Obs. Geoinformation 97: 102286 (2021) - [j39]Sen Jia, Shuguo Jiang, Zhijie Lin, Nanying Li, Meng Xu, Shiqi Yu:
A survey: Deep learning for hyperspectral image classification with few labeled samples. Neurocomputing 448: 179-204 (2021) - [j38]Baorui Wang, Shun Zhang, Yan Feng, Shaohui Mei, Sen Jia, Qian Du:
Hyperspectral Imagery Spatial Super-Resolution Using Generative Adversarial Network. IEEE Trans. Computational Imaging 7: 948-960 (2021) - [j37]Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang:
Deep Amended Gradient Descent for Efficient Spectral Reconstruction From Single RGB Images. IEEE Trans. Computational Imaging 7: 1176-1188 (2021) - [j36]Sen Jia, Zhangwei Zhan, Meng Zhang, Meng Xu, Qiang Huang, Jun Zhou, Xiuping Jia:
Multiple Feature-Based Superpixel-Level Decision Fusion for Hyperspectral and LiDAR Data Classification. IEEE Trans. Geosci. Remote. Sens. 59(2): 1437-1452 (2021) - [j35]Sen Jia, Zhijie Lin, Meng Xu, Qiang Huang, Jun Zhou, Xiuping Jia, Qingquan Li:
A Lightweight Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(5): 4150-4163 (2021) - [j34]Xiyou Fu, Sen Jia, Lina Zhuang, Meng Xu, Jun Zhou, Qingquan Li:
Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization. IEEE Trans. Geosci. Remote. Sens. 59(11): 9553-9568 (2021) - [j33]Sen Jia, Qingqing Zhao, Jiayue Zhuang, Dingding Tang, Yaqian Long, Meng Xu, Jun Zhou, Qingquan Li:
Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(12): 10394-10409 (2021) - [c48]Yifan Wang, Zhichao Min, Sen Jia:
Local-Global-Aware Convolutional Transformer for Hyperspectral Image Classification. HPCC/DSS/SmartCity/DependSys 2021: 1188-1194 - [c47]Zhichao Min, Yifan Wang, Sen Jia:
Multiscale Spatial-spectral Joint Feature Learning for Multispectral and Hyperspectral Image Fusion. HPCC/DSS/SmartCity/DependSys 2021: 1265-1270 - [c46]Shuguo Jiang, Sen Jia:
A 3D Lightweight Siamese Network for Hyperspectral Image Classification with Limited Samples. ICCPR 2021: 142-148 - [c45]Dingding Tang, Sen Jia, Nanying Li:
Superpixel Regularized Multiple kernel Gabor Fusion for Hyperspectral Image Classification. ICCPR 2021: 175-182 - [i4]Meng Xu, Zhihao Wang, Jiasong Zhu, Xiuping Jia, Sen Jia:
Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution. CoRR abs/2107.06536 (2021) - [i3]Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang:
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images. CoRR abs/2108.05547 (2021) - [i2]Sen Jia, Shuguo Jiang, Zhijie Lin, Nanying Li, Meng Xu, Shiqi Yu:
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples. CoRR abs/2112.01800 (2021) - 2020
- [j32]Huan Wang, Qingquan Li, Sen Jia:
A global and local feature weighted method for ancient murals inpainting. Int. J. Mach. Learn. Cybern. 11(6): 1197-1216 (2020) - [j31]Bin Deng, Sen Jia, Daming Shi:
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(2): 1422-1435 (2020) - [j30]Sen Jia, Xianglong Deng, Meng Xu, Jun Zhou, Xiuping Jia:
Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(7): 5077-5091 (2020) - [j29]Sen Jia, Zhijie Lin, Bin Deng, Jiasong Zhu, Qingquan Li:
Cascade Superpixel Regularized Gabor Feature Fusion for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1638-1652 (2020) - [i1]Qing Li, Jiasong Zhu, Jun Liu, Rui Cao, Qingquan Li, Sen Jia, Guoping Qiu:
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications. CoRR abs/2011.04123 (2020)
2010 – 2019
- 2019
- [j28]Ke Zheng, Lianru Gao, Qiong Ran, Ximin Cui, Bing Zhang, Wenzhi Liao, Sen Jia:
Separable-spectral convolution and inception network for hyperspectral image super-resolution. Int. J. Mach. Learn. Cybern. 10(10): 2593-2607 (2019) - [j27]Sen Jia, Kuilin Wu, Jiasong Zhu, Xiuping Jia:
Spectral-Spatial Gabor Surface Feature Fusion Approach for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 57(2): 1142-1154 (2019) - [j26]Sen Jia, Xianglong Deng, Jiasong Zhu, Meng Xu, Jun Zhou, Xiuping Jia:
Collaborative Representation-Based Multiscale Superpixel Fusion for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(10): 7770-7784 (2019) - [j25]Sen Jia, Jiayue Zhuang, Lin Deng, Jiasong Zhu, Meng Xu, Jun Zhou, Xiuping Jia:
3-D Gaussian-Gabor Feature Extraction and Selection for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 57(11): 8813-8826 (2019) - [c44]Zhijie Lin, Sen Jia, Bin Deng:
Multi-Task Embedded Convolutional Neural Network for Hyperspectral Image Classification. ICME 2019: 1426-1431 - [c43]Xiaomei Liu, Sen Jia, Meng Xu, Jiasong Zhu:
Statistical Fusion-Based Transfer Learning for Hyperspectral Image Classification. IGARSS 2019: 1108-1111 - 2018
- [j24]Jiasong Zhu, Ke Sun, Sen Jia, Weidong Lin, Xianxu Hou, Bozhi Liu, Guoping Qiu:
Bidirectional Long Short-Term Memory Network for Vehicle Behavior Recognition. Remote. Sens. 10(6): 887 (2018) - [j23]Jiasong Zhu, Ke Sun, Sen Jia, Qingquan Li, Xianxu Hou, Weidong Lin, Bozhi Liu, Guoping Qiu:
Urban Traffic Density Estimation Based on Ultrahigh-Resolution UAV Video and Deep Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 4968-4981 (2018) - [j22]Sen Jia, Linlin Shen, Jiasong Zhu, Qingquan Li:
A 3-D Gabor Phase-Based Coding and Matching Framework for Hyperspectral Imagery Classification. IEEE Trans. Cybern. 48(4): 1176-1188 (2018) - [j21]Sen Jia, Bin Deng, Jiasong Zhu, Xiuping Jia, Qingquan Li:
Local Binary Pattern-Based Hyperspectral Image Classification With Superpixel Guidance. IEEE Trans. Geosci. Remote. Sens. 56(2): 749-759 (2018) - [j20]Jiasong Zhu, Jie Hu, Sen Jia, Xiuping Jia, Qingquan Li:
Multiple 3-D Feature Fusion Framework for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(4): 1873-1886 (2018) - [c42]Kuilin Wu, Sen Jia:
2D Gabor-Based Sparse Representation Classification for Hyperspectral Imagery. DICTA 2018: 1-8 - [c41]Sen Jia, Meng Zhang, Junjian Xian, Jiayue Zhuang, Qiang Huang:
Superpixel-Based Feature Extraction and Fusion Method for Hyperspectral and LiDAR Classification. ICPR 2018: 764-769 - [c40]Sen Jia, Huimin Xie, Xianglong Deng:
Extended Morphological Profile-based Gabor Wavelets for Hyperspectral Image Classification. ICPR 2018: 782-787 - [c39]Sen Jia, Meng Zhang, Jiasong Zhu:
Gabor Wavelet Based Feature Extraction and Fusion for Hyperspectral and Lidar Remote Sensing Data. IGARSS 2018: 1-4 - [c38]Sen Jia, Junjian Xian:
Multi-Feature-Based Decision Fusion Framework for Hyperspectral Imagery Classification. IGARSS 2018: 5-8 - 2017
- [j19]Shiqi Yu, Sen Jia, Chunyan Xu:
Convolutional neural networks for hyperspectral image classification. Neurocomputing 219: 88-98 (2017) - [j18]Sen Jia, Bin Deng, Qiang Huang:
An efficient superpixel-based sparse representation framework for hyperspectral image classification. Int. J. Wavelets Multiresolution Inf. Process. 15(6): 1750061:1-1750061:14 (2017) - [j17]Sen Jia, Jie Hu, Jiasong Zhu, Xiuping Jia, Qingquan Li:
Three-Dimensional Local Binary Patterns for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 55(4): 2399-2413 (2017) - [j16]Sen Jia, Bin Deng, Jiasong Zhu, Xiuping Jia, Qingquan Li:
Superpixel-Based Multitask Learning Framework for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(5): 2575-2588 (2017) - [c37]Sen Jia, Bin Deng, Huimin Xie, Lin Deng:
A Gabor feature fusion framework for hyperspectral imagery classification. ICIP 2017: 2394-2397 - [c36]Sen Jia, Huimin Xie, Lin Deng, Linlin Shen:
Gabor phase feature-based hyperspectral imagery classification. ICME 2017: 1291-1296 - [c35]Sen Jia, Kuilin Wu, Meng Zhang, Jie Hu:
Three-Dimensional Surface Feature for Hyperspectral Imagery Classification. ICONIP (1) 2017: 270-278 - [c34]Sen Jia, Huimin Xie, Lin Deng, Qiang Huang, Jun Li:
Gabor feature based support vector guided dictionary learning for hyperspectral image classification. IGARSS 2017: 2211-2214 - 2016
- [j15]Sen Jia, Yao Xie, Guihua Tang, Jiasong Zhu:
Spatial-spectral-combined sparse representation-based classification for hyperspectral imagery. Soft Comput. 20(12): 4659-4668 (2016) - [j14]Sen Jia, Guihua Tang, Jiasong Zhu, Qingquan Li:
A Novel Ranking-Based Clustering Approach for Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 54(1): 88-102 (2016) - [j13]Sen Jia, Jie Hu, Yao Xie, LinLin Shen, Xiuping Jia, Qingquan Li:
Gabor Cube Selection Based Multitask Joint Sparse Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(6): 3174-3187 (2016) - [c33]Sen Jia, Bin Deng:
An Efficient Gabor Feature-Based Multi-task Joint Support Vector Machines Framework for Hyperspectral Image Classification. CCPR (2) 2016: 14-25 - [c32]Sen Jia, Jie Hu, Lin Deng, Xiuping Jia:
Three-dimensional local binary patterns for hyperspectral imagery classification. IGARSS 2016: 465-468 - [c31]Sen Jia, Bin Deng, Xiuping Jia:
Superpixel-level sparse representation-based classification for hyperspectral imagery. IGARSS 2016: 3302-3305 - [c30]Sen Jia, Jie Hu, Lin Deng, Hongjun Su:
Fuzzy threshold-based uniform local binary patterns for hyperspectral imagery classification. WHISPERS 2016: 1-4 - 2015
- [j12]Zexuan Zhu, Sen Jia, Shan He, Yiwen Sun, Zhen Ji, LinLin Shen:
Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework. Inf. Sci. 298: 274-287 (2015) - [j11]Sen Jia, Xiujun Zhang, Qingquan Li:
Spectral-Spatial Hyperspectral Image Classification Using ℓ1/2 Regularized Low-Rank Representation and Sparse Representation-Based Graph Cuts. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2473-2484 (2015) - [j10]Sen Jia, LinLin Shen, Qingquan Li:
Gabor Feature-Based Collaborative Representation for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 53(2): 1118-1129 (2015) - [c29]Linlin Shen, Ziyi Dai, Sen Jia, Meng Yang, Zhihui Lai, Shiqi Yu:
Band selection for Gabor feature based hyperspectral palmprint recognition. ICB 2015: 416-421 - [c28]Sen Jia, Xiujun Zhang, Lin Deng, Zhenqiu Shu:
AN ℓ1/2 regularized low-rank representation for hyperspectral imagery classification. ICIP 2015: 1777-1780 - [c27]Sen Jia, Jie Hu, Guihua Tang, Linlin Shen, Lin Deng:
Gabor feature based dictionary fusion for hyperspectral imagery classification. IGARSS 2015: 433-436 - [c26]Guihua Tang, Sen Jia, Jun Li:
An enhanced density peak-based clustering approach for hyperspectral band selection. IGARSS 2015: 1116-1119 - [c25]Sen Jia, Guihua Tang, Jie Hu:
Band Selection of Hyperspectral Imagery Using a Weighted Fast Density Peak-Based Clustering Approach. IScIDE (1) 2015: 50-59 - [c24]Sen Jia, Yao Xie, Linlin Shen, Lin Deng:
Hyperspectral image classification using Fisher criterion-based Gabor cube selection and multi-task joint sparse representation. WHISPERS 2015: 1-4 - 2014
- [j9]Sen Jia, Zexuan Zhu, Linlin Shen, Qingquan Li:
A Two-Stage Feature Selection Framework for Hyperspectral Image Classification Using Few Labeled Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1023-1035 (2014) - [c23]Sen Jia, Jinquan Liang, Yao Xie, Lin Deng:
A novel feature voting model for text classification. FSKD 2014: 306-311 - [c22]Sen Jia, Lin Deng, LinLin Shen:
An effective collaborative representation algorithm for hyperspectral image classification. ICME 2014: 1-6 - [c21]LinLin Shen, Wenfeng Wu, Sen Jia, Zhenhuan Guo:
Coding 3D Gabor Features for Hyperspectral Palmprint Recognition. ICMB 2014: 169-173 - 2013
- [j8]LinLin Shen, Zexuan Zhu, Sen Jia, Jiasong Zhu, Yiwen Sun:
Discriminative Gabor Feature Selection for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 10(1): 29-33 (2013) - [c20]Sen Jia, Lin Deng:
A CW-SSIM distance measure-based affinity propagation for hyperspectral band selection. IGARSS 2013: 418-421 - [c19]Danping Liao, Minchao Ye, Sen Jia, Yuntao Qian:
Noise reduction of hyperspectral imagery based on nonlocal tensor factorization. IGARSS 2013: 1083-1086 - [c18]Danping Liao, Minchao Ye, Sen Jia, Yuntao Qian:
Visualization of hyperspectral imagery based on manifold learning. IGARSS 2013: 1979-1982 - 2012
- [j7]Sen Jia, Zhen Ji, Yuntao Qian, Linlin Shen:
Unsupervised Band Selection for Hyperspectral Imagery Classification Without Manual Band Removal. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 531-543 (2012) - [c17]Sen Jia, Jinquan Liang, Lin Deng, Yuntao Qian:
Minimum variance block-based nonnegative matrix factorization algorithm for hyperspectral unmixing. WHISPERS 2012: 1-4 - [c16]Sen Jia, Linlin Shen, Lin Deng:
Band selection-based Gabor wavelet feature extraction for hyperspectral imagery classification. WHISPERS 2012: 1-4 - 2011
- [j6]Yuntao Qian, Sen Jia, Jun Zhou, Antonio Robles-Kelly:
Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization. IEEE Trans. Geosci. Remote. Sens. 49(11): 4282-4297 (2011) - [j5]LinLin Shen, Sen Jia:
Three-Dimensional Gabor Wavelets for Pixel-Based Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 49(12): 5039-5046 (2011) - 2010
- [j4]Zexuan Zhu, Sen Jia, Zhen Ji:
Towards a Memetic Feature Selection Paradigm [Application Notes]. IEEE Comput. Intell. Mag. 5(2): 41-53 (2010) - [c15]Weixiang Liu, Songfeng Zheng, Sen Jia, LinLin Shen, Xianghua Fu:
Sparse nonnegative matrix factorization with the elastic net. BIBM 2010: 265-268 - [c14]Zexuan Zhu, Sen Jia, Zhen Ji:
Affinity propagation based memetic band selection on hyperspectral imagery datasets. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c13]Yuntao Qian, Sen Jia, Jun Zhou, Antonio Robles-Kelly:
L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. DICTA 2010: 447-453 - [c12]Sen Jia, Yuntao Qian, Jiming Li, Yan Li, Zhong Ming:
Hierarchical alternating least squares algorithm with Sparsity Constraint for hyperspectral unmixing. ICIP 2010: 2305-2308 - [c11]Jiming Li, Yuntao Qian, Sen Jia:
Regularized logistic regression method for change detection in multispectral data via Pathwise Coordinate optimization. ICIP 2010: 2309-2312 - [c10]Sen Jia, Yuntao Qian, Jiming Li, Weixiang Liu, Zhen Ji:
Feature extraction and selection hybrid algorithm for hyperspectral imagery classification. IGARSS 2010: 72-75
2000 – 2009
- 2009
- [j3]Sen Jia, Yuntao Qian:
Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 47(1-1): 161-173 (2009) - 2008
- [c9]Sen Jia, Yuntao Qian, Zhen Ji:
Band Selection for Hyperspectral Imagery Using Affinity Propagation. DICTA 2008: 137-141 - 2007
- [j2]Sen Jia, Yuntao Qian:
Mrf-ICA Mixture Model for Hyperspectral Imagery Unmixing. Int. J. Wavelets Multiresolution Inf. Process. 5(1): 113-127 (2007) - [j1]Sen Jia, Yuntao Qian:
Spectral and Spatial Complexity-Based Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 45(12-1): 3867-3879 (2007) - [c8]Sen Jia, Yuntao Qian:
A Complexity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. ICA 2007: 268-276 - 2006
- [c7]Guangjie Ling, Yuntao Qian, Sen Jia:
Segmental Semi-Markov Model Based Online Series Pattern Detection Under Arbitrary Time Scaling. ADMA 2006: 731-740 - [c6]Sen Jia, Yuntao Qian:
Improved Stone's Complexity Pursuit for Hyperspectral Imagery Unmixing. ICPR (4) 2006: 817-820 - [c5]Sen Jia, Yuntao Qian:
MRF Based Spatial Complexity for Hyperspectral Imagery Unmixing. SSPR/SPR 2006: 531-540 - 2005
- [c4]Sen Jia, Yuntao Qian:
An MRF-ICA Based Algorithm for Image Separation. ICNC (2) 2005: 391-395 - 2004
- [c3]Guang Dai, Yuntao Qian, Sen Jia:
Modified kernel-based nonlinear feature extraction [face recognition example]. ICASSP (5) 2004: 721-724 - [c2]Guang Dai, Yuntao Qian, Sen Jia:
A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition. ICPR (2) 2004: 431-434 - [c1]Sen Jia, Yuntao Qian, Guang Dai:
An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection. ICPR (3) 2004: 634-637
Coauthor Index
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