贾森 (Sen Jia)
男，深圳大学特聘教授，博士生导师， 教育部国家级青年人才。主要从事人工智能、机器学习和遥感信息处理等领域的研究与开发工作。主持四项国家自然科学基金项目和多项省部级项目，发表科研论文一百余篇，其中在 IEEE TGRS、IEEE TNNLS、ISPRS 等国际权威期刊发表论文四十余篇；入选“广东特支计划”和“广东省优秀青年教师培养计划”，入选深圳市高层次人才和深圳市南山区“领航人才”；获广东省自然科学二等奖（排名第一），深圳市自然科学二等奖（排名第2）；IEEE 高级会员，担任了遥感领域国际权威期刊IEEE TGRS编委（Associate Editor，IF=8.13，中科院一区期刊）；获发明专利16项（包括6项国内发明专利，2项美国专利和8项PCT国际发明专利）。
课题组长期招收专任教师（ 深圳大学助理教授综合年薪36万起（优秀者可受聘深圳大学“鹏城孔雀计划”特聘岗位，或纳入学校人才项目培养，享受15-24万/年的岗位绩效））， 博士后（综合年薪约32万元）和副研究员（综合年薪约35-42万元） ，欢迎相关研究方向并有志来深圳地区工作的博士毕业生联系！
欢迎计算机、电子、遥感信息等相关方向的优秀同学报考硕士与博士研究生！邮箱：senjia@szu.edu.cn 或徐萌老师（m.xu@szu.edu.cn）
代表论文:
Scale Pyramid Graph Network for Hyperspectral Individual Tree Segmentation
A Center-masked Transformer for Hyperspectral Image Classification
Spatial-Temporal Siamese Convolutional Neural Network for Subsurface Temperature Reconstruction
Texture-aware self-attention model for hyperspectral tree species classification
Mixed Noise-Oriented Hyperspectral and Multispectral Image Fusion
Graph-in-graph convolutional network for hyperspectral image classification
Multiattention generative adversarial network for remote sensing image super-resolution
Geographic Semantic Network for Cross-View Image Geo-Localization
A Semisupervised Siamese Network for Hyperspectral Image Classification
Multiview Spatial–Spectral Active Learning for Hyperspectral Image Classification
3-D Gabor Convolutional Neural Network for Hyperspectral Image Classification
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
Flexible Gabor-based Superpixel-level Unsupervised LDA for Hyperspectral Image Classification
Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification
Cascade superpixel regularized Gabor feature fusion for hyperspectral image classification
3-D Gaussian-Gabor feature extraction and selection for hyperspectral imagery classification
Collaborative representation-based multiscale superpixel fusion for hyperspectral image classification
Thin cloud removal from optical remote sensing images using the noise adjusted principal components transform
Spectral-Spatial Gabor Surface Feature Fusion Approach for Hyperspectral Imagery Classification
面向高光谱图像分类的超像素级Gabor特征融合方法研究
Multiple 3-D Feature Fusion Framework for Hyperspectral Image Classification
Local Binary Pattern-Based Hy- perspectral Image Classification With Superpixel Guidance
A 3D Gabor phase-based coding and matching framework for hyperspectral imagery classification
An efficient superpixel-based sparse representation frame- work for hyperspectral image classification
Superpixel-based Multi-task Learning Framework for Hyperspectral Image Classification
Three-Dimensional Local Binary Pat- terns for Hyperspectral Imagery Classification
Convolutional Neural Networks for Hyperspectral Image Classification
Gabor Cube Selection Based Multitask Joint Sparse Representation for Hyperspectral Image Classification
A Novel Ranking-Based Clustering Approach for Hyperspectral Band Selection
Spatial-Spectral-Combined Sparse Representation- based Classification for Hyperspectral Imagery
Spectral-Spatial Hyperspectral Image Classification Using l1/2 Regularized Low-Rank Representation and Sparse Representation-based Graph Cuts
Gabor Feature-based Collaborative Representation for Hyperspectral Imagery Classification
A Two-Stage Feature Selection Framework for Hyperspectral Image Classification Using Few Labeled Samples
Unsupervised Band Selection for Hyperspectral Imagery Classification Without Manual Band Removal
Three-Dimensional Gabor Wavelets for Pixel-Based Hyperspectral Imagery Classification
Hyper- spectral Unmixing Via L1/2 Sparsity Constrained Nonnegative Matrix Factorization
Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing
Spectral and spatial character-based hyperspectral unmixing
Spectral and Spatial Complexity-Based Hyperspectral Unmixing
MRF-ICA Mixture Models for Unmixing of Hyperspectral Images
Multi-task embedded convolutional neural network for hyperspectral image classification
Statistical fusion-based transfer learning for hyperspectral image classification
2D Gabor-based Sparse Representation Classification for Hyperspectral Imagery
Extended Morphological Profile-based Gabor Wavelets for Hyperspectral Image Classification
Superpixel-Based Feature Extraction and Fusion Method for Hyper- spectral and LiDAR Classification
Multi-feature-based Decision Fusion Framework for Hyperspectral Imagery Classification
Gabor Wavelet Based Feature Extraction and Fusion for Hyperspectral and Lidar Remote Sensing Data
3D-Gabor-Based Feature Selection Via Enhanced Fast Density- Peak-Based Clustering
Multiscale superpixel-based fusion framework for hyper- spectral image classification
Transfer Learning for Hyperspectral Image Classification by Using Correlation Alignment
Three-Dimensional Surface Feature for Hyperspectral Imagery Classification
Gabor phase feature-based hyperspectral imagery classification
A Gabor feature fusion framework for hy- perspectral imagery classification
Gabor feature based support vector guided dictionary learning for hyperspectral image classification
Gabor phase feature-based hyperspectral imagery classification
An Efficient Gabor Feature-based Multi-task Joint Support Vector Machines Framework for Hyperspectral Image Classification
Fuzzy Threshold-Based Uniform Local Binary Patterns For Hyperspectral Imagery Classification
Superpixel-Level Sparse Representation-Based Classification For Hyperspectral Imagery
Three-Dimensional Local Binary Patterns For Hyperspectral Imagery Classification
An l1/2 Regularized Low-Rank Representation for Hyperspectral Imagery Classification
Gabor Feature Based Dictionary Fusion For Hyperspectral Imagery Classification
An enhanced density Peak-based Clustering approach for Hyperspectral Band selection
Band selection of hyperspectral imagery using a weighted fast density peak-based clustering approach
Hyperspectral Image Classification using Fisher criterion-based Gabor Cube Selection and Multi-task Joint Sparse Representation
Band Selection for Gabor Feature Based Hyperspectral Palmprint Recognition
Integration of Spatial and Spectral Information by Means of Sparse Representation-based Classification for Hyperspectral Imagery
A novel feature voting model for text classification
An effective Collaborative Representation Algorithm for Hyperspectral Image Classification
Coding 3D Gabor Features for Hyperspectral Palmprint Recognition
A CW-SSIM Distance Measure-based Affinity Propagation for Hyper- spectral Band Selection
Band selection-based Gabor wavelet feature extraction for hyperspectral imagery classification
Minimum variance block-based nonnegative matrix factorization algorithm for hyperspectral unmixing
Memetic Ant Colony Optimization for Band Selection of Hyperspectral Imagery Classification
Feature Selection Technique for Hyperspectral Imagery Classification with Noise Reduction Preprocessing
Feature Extraction and Selection Hybrid Algorithm for Hyperspectral Imagery Classification
Affinity propagation based memetic band selection on hyperspectral imagery datasets
Hierarchical Alternating Least Squares Algorithm With Sparsity Constraint For Hyperspectral Unmixing
Regularized Logistic Regression Method For Change Detection In Multispectral Data Via Pathwise Coordinate Optimization
L1/2 Sparsity Constrained Nonnega- tive Matrix Factorization for Hyperspectral Unmixing
Sparse Nonnegative Matrix Factorization with the Elastic Net
Band Selection Based Hyperspectral Unmixing
Nonnegative Matrix Factorization with Piecewise Smoothness Constraint for Hyperspectral Unmixing
Band Selection for Hyperspectral Imagery Using Affinity Propagation
A Complexity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing
Improved Stone’s Complexity Pursuit for Hyperspectral Imagery Unmixing
MRF Based Spatial Complexity for Hyperspectral Imagery Unmixing
Segmental Semi-Markov Model Based Online Series Pattern Detection Under Arbitrary Time Scaling
An MRF-ICA Based Algorithm for Image Separation
An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection
A kernel fractional-step nonlinear discriminant analysis for Pattern Recognition
A hybrid online series pattern detection algorithm
Robust feature extracted by the generalized optimal discriminant vectors for face recognition
Modified kernel-based nonlinear feature extraction
Markov Model Based Time Series Similarity Measuring
发明专利:
1. Sen Jia , Linlin Shen , "一种高光谱遥感图像的分类方法及其系统", 中国, 申请号：201610169168.4, (已授权), 专利号：PCT/CN2016/104656),
2. Sen Jia , Jie Hu , Yao Xie , Linlin Shen , "基于三维Gabor特征选择的高光谱遥感图像分类方法及系统", 中国, 申请号：201610055913.2, (已授权), 专利号：ZL 2016 1 0055913.2),
3. Sen Jia , Jie Hu , Lin Deng , "一种高光谱遥感图像特征提取和分类方法及其系统", 中国, 申请号：201610935700.9, (已授权), 专利号：ZL 2016 1 0935700.9),
4. Sen Jia , Bin Deng , "基于超像素级信息融合的高光谱图像的分类方法及系统", 中国, 申请号：201610810465.2, (已授权), 专利号：PCT/CN2016/104661),
5. Sen Jia , Lin Deng , Linlin Shen , "一种高光谱遥感图像分类方法及装置", 中国, 申请号：201710266000.X, (实质审查阶段), 专利号：PCT/CN2017/083766),
6. Sen Jia , Kuilin Wu , Jiasong Zhu , Lin Deng , "高光谱遥感图像的特征提取方法及装置", 中国, 申请号：201710800249.4, (实质审查阶段), 专利号：PCT/CN2017/101353),
7. Sen Jia , Meng Zhang , Jiasong Zhu , Guofeng Wu , "一种基于无人机的数据处理的方法及装置", 中国, 申请号：201810676795.6, (实质审查阶段), 专利号：PCT/CN2018/093173),
8. Sen Jia , Bin Deng , Jiasong Zhu , Qingquan Li , "一种图像融合分类的方法及装置", 中国, 申请号：201811146961.8, (实质审查阶段), 专利号：PCT/CN2018/110916),
9. Jiasong Zhu , Haokun Yang , Qingquan Li , Sen Jia , Zhijie Lin , Zhihao Wang , "基于深度学习的胶囊机器人排水管病害检测方法及系统", 中国, 申请号：CN201911173225.6, (实质审查阶段), 专利号：ZL201911173225.6),
10. Qingquan Li , Huan Wang , Sen Jia , "一种壁画图像修复方法、系统及存储介质", 中国, 申请号：CN201910956008.8, (实质审查阶段), 专利号：201910956008.8),
11. Jiasong Zhu , Qingqing Zhao , Sen Jia , "车辆队列协同行驶方法及相关装置", 中国, 申请号：CN202010032807.9, (已授权), 专利号：202010032807.9),
12. Jiasong Zhu , Qingqing Zhao , Sen Jia , "狭窄道路多车协同行驶方法及相关装置", 中国, 申请号：CN202010033573.X, (实质审查阶段), 专利号：202010033573.X),
13. Sen Jia , Zhangwei Zhan , Lin Deng , Meng Xu , "基于尺度自适应滤波的高光谱和LiDAR联合分类方法", 中国, 申请号：202011353979.2, (等待实审提案), 专利号：202011353979.2),
14. Sen Jia , Qingqing Zhao , Meng Xu , "高光谱图像分类方法及相关设备", 中国, 申请号：202011144440.6, (一通出案待答复), 专利号：202011144440.6),
15. Sen Jia , Shuguo Jiang , Bin Deng , "基于图中图卷积网络的高光谱图像分类方法", 中国, 申请号：202111509923.6, (等待实审提案), 专利号：202111509923.6),
电子邮件：senjia@szu.edu.cn
办公室地址：深圳大学南校区计算机大楼A934
- 国际权威期刊IEEE TGRS编委
- IEEE高级会员
- 中国图象图形学学会遥感图像专业委员会委员 (2018- )
- 深圳市高层次人才 (2017 )
- 深圳市南山区“领航人才” (2017 )
- "广东特支计划”科技青年拔尖人才 (2015)
- 广东省优秀青年教师 (2014)