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薛朝辉

领域:新能源产业 学校:河海大学职称:副教授

一直从事遥感图像处理与模式识别方向的理论与应用研究,研究兴趣点包括基于稀疏表达、深度学习等先进机器学习技术进行高光谱图像监督\半监督\主动\迁移学习分类、SAR图像目标识别与检测、长时间序列遥感数据物候分析、夜光遥感建成区提取、主被动微波遥感土壤水反演等地学相关的理论与应用研究。
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教育背景

  • 2005.09-2009.07,山东农业大学,测绘工程,工学学士学位
  • 2009.09-2012.07,中国矿业大学(北京),大地测量学与测量工程,工学硕士学位
  • 2012.09-2015.09,南京大学,地图学与地理信息系统,理学博士学位

工作经历

2015.09-,河海大学,教学、科研

项目课题经历

  • 1、结构化稀疏诱导的高光谱遥感影像分类研究,2015.11.30-,?,地球科学与工程学院
  • 2、南京市建邺区城市绿化普查研究项目,2017.10.01-,南京市园林经济开发有限责任公司,地球科学与工程学院
  • 3、稀疏图嵌入的高光谱遥感影像小样本分类研究,2016.07.01-,江苏省科学技术厅,地球科学与工程学院
  • 4、高光谱遥感影像稀疏图正则化主动半监督分类研究,2015.10.01-2017.10.01,地球科学与工程学院
  • 5、高光谱遥感影像半监督深度学习与分类研究,2020.01.01-,国家自然科学基金委员会,地球科学与工程学院
  • 6、危岩体崩塌灾害时序InSAR高精度监测研究,2017.01.01-2018.12.31,地球科学与工程学院
  • 7、高光谱遥感影像半监督深度学习与分类研究,2018.01.01-2019.12.31,地球科学与工程学院
  • 8、基于结构化张量分解的高光谱与LiDAR数据融合与分类研究,2018.01.01-,武汉大学,地球科学与工程学院
  • 9、高光谱遥感影像稀疏深度学习与分类研究,2017.01.01-,国家自然科学基金委员会,地球科学与工程学院

论文、成果、著作等

  • 1、Coupled Higher-Order Tensor Factorization for Hyperspectral and LiDAR Data Fusion and Classification,REMOTE SENSING,SCI,SEP 1 2019,Xue, Zhaohui,Hohai University,Yang, Sirui,Zhang, Hongyan,Xue, Zhaohui,Hohai University,11/7/1959
  • 2、Semisupervised Stacked Autoencoder With Cotraining for Hyperspectral Image Classification,IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,SCI,2019-06-01 00:00:00 CST,Zhou, Shaoguang,Hohai University,Xue, Zhaohui,Du, Peijun,Xue, Zhaohui,Hohai University,57/6/3813-3826
  • 3、Frequency Domain-Based Features for Hyperspectral Image Classification,IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,SCI,2019-09-01 00:00:00 CST,Wang, Ke,Hohai University,Yong, Bin,Xue, Zhaohui,Wang, Ke,Hohai University,16/9/1417-1421
  • 4、Spatio-temporal analysis of phenology in Yangtze River Delta based on MODIS NDVI time series from 2001 to 2015,FRONTIERS OF EARTH SCIENCE,SCI,2019-03-01 00:00:00 CST,Wang, Yongfeng,Anhui Jianzhu University,Xue, Zhaohui,Chen, Jun,Xue, Zhaohui,Hohai University,13/1/92-110
  • 5、Shape-Adaptive Tensor Factorization Model for Dimensionality Reduction of Hyperspectral Images,IEEE ACCESS,SCI,2019-08-01 00:00:00 CST,Xue, Zhaohui,Hohai University,Yang, Sirui,Zhang, Mengxue,Xue, Zhaohui,Hohai University,7/ /115160-115170
  • 6、Multifeature Dictionary Learning for Collaborative Representation Classification of Hyperspectral Imagery,IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,SCI,2018-04-01 00:00:00 CST,Su, Hongjun,Hohai University,Zhao, Bo,Du, Qian,Su, Hongjun,Hohai University,56/4/2467-2484
  • 7、Active Learning Improved by Neighborhoods and Superpixels for Hyperspectral Image Classification,IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,SCI,2018-03-01 00:00:00 CST,Xue, Zhaohui,Hohai University,Zhou, Shaoguang,Zhao, Pengfei,Zhou, Shaoguang,Hohai University,15/3/469-473
  • 8、Discriminative Sparse Representation for Hyperspectral Image Classification: A Semi-Supervised Perspective,REMOTE SENSING,SCI,2017-04-01 00:00:00 CST,Xue, Zhaohui,Hohai University,Du, Peijun,Su, Hongjun,Xue, Zhaohui,Hohai University,9/4/386
  • 9、Sparse Graph Regularization for Hyperspectral Remote Sensing Image Classification,IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,SCI,2017-04-01 00:00:00 CST,Xue, Zhaohui,Hohai University,Du, Peijun,Li, Jun,Xue, Zhaohui,Hohai University,55/4/2351-2366
  • 10、Sparse graph regularization for robust crop mapping using hyperspectral remotely sensed imagery with very few in situ data,ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,SCI,2017-02-01 00:00:00 CST,Xue, Zhaohui,Hohai University,Du, Peijun,Li, Jun,Xue, Zhaohui,Hohai University,124/ /1-15
  • 11、Kernel Supervised Ensemble Classifier for the Classification of Hyperspectral Data Using Few Labeled Samples,REMOTE SENSING,SCI,2016-07-01 00:00:00 CST,Chen, Jike,Nanjing University,Xia, Junshi,Du, Peijun,Du, Peijun,Nanjing University,8/7/601
  • 12、Simultaneous Sparse Graph Embedding for Hyperspectral Image Classification,IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,SCI,2015-11-01 00:00:00 CST,Xue, Zhaohui,Hohai University,Du, Peijun,Li, Jun,Du, Peijun,Nanjing University,53/11/6114-6133
  • 13、Learning Discriminative Sparse Representations for Hyperspectral Image Classification,IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING,SCI,2015-09-01 00:00:00 CST,Du, Peijun,Nanjing University,Xue, Zhaohui,Li, Jun,Xue, Zhaohui,Nanjing University,9/6/1089-1104
  • 14、Spectral-Spatial Classification of Hyperspectral Data via Morphological Component Analysis-Based Image Separation,IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,SCI,2015-01-01 00:00:00 CST,Xue, Zhaohui,Nanjing University,Li, Jun,Cheng, Liang,Xue, Zhaohui,Nanjing University,53/1/70-84
  • 15、Harmonic Analysis for Hyperspectral Image Classification Integrated With PSO Optimized SVM,IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,SCI,2014-06-01 00:00:00 CST,Xue, Zhaohui,Nanjing University,Du, Peijun,Su, Hongjun,Du, Peijun,Nanjing University,7/6/2131-2146
  • 16、Phenology-Driven Land Cover Classification and Trend Analysis Based on Long-term Remote Sensing Image Series,IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,SCI,2014-04-01 00:00:00 CST,Xue, Zhaohui,Nanjing University,Du, Peijun,Feng, Li,Du, Peijun,Nanjing University,7/4/1142-1156
  • 17、New methodology of hyperspectral information extraction and accuracy assessment based on a neural network,MATHEMATICAL AND COMPUTER MODELLING,SCI,2013-08-01 00:00:00 CST,Yang, Keming,China University of Mining & Technology, Beijing,Xue, Zhaohui,Li, Hongwei,Yang, Keming,China University of Mining & Technology, Beijing,58/3-4/644-660

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