耿修瑞，中国科学院空天信息创新研究院，研究员。中国科学院大学岗位教授。研究方向为机器学习与遥感应用，重点开展高光谱遥感、图像处理、模式识别、矩阵基础理论与应用等方面研究。在特征提取、目标检测与识别、图像匹配、聚类分析等研究方向做出了开创性贡献。在国内外学术期刊发表学术论文百余篇，出版学术专著1部。

工作经历:

2016.07-至今      中国科学院空天信息创新研究院    研究员

2009.07-2016.06   中国科学院电子学研究所          副研究员

2007.07-2009.06   中国科学院电子学研究所          助理研究员

机器学习与遥感应用

（1）高光谱图像小目标检测技术研究  负责人  自然科学基金 2006.01—2008.12

（1）学术论文

[1] X. Geng*, Z. Xiao, L. Ji, Y. Zhao, and F. Wang, "A Gaussian elimination Based fast endmember extraction algorithm for hyperspectral imagery," ISPRS Journal of Photogrammetry and Remote Sensing,  2013

[2] X. Geng*, S. Kang, J. Luyan, Z. Yongchao, and T. Hairong, "Optimizing Endmembers Using Volume Invariant Constrained Model," IEEE Transactions on Image Processing, 2015

[3] X. Geng*, L. Ji, and Y. Zhao, "Filter tensor analysis: A tool for multi-temporal remote sensing target detection," ISPRS Journal of Photogrammetry and Remote Sensing, 2019

[4] L. Wang and X. Geng*, "The real eigenpairs of symmetric tensors and its application to independent component analysis," IEEE Transactions on Cybernetics, 2021

[5] X. Geng*, K. Sun, L. Ji, and Y. Zhao, "A Fast Volume-Gradient-Based Band Selection Method for Hyperspectral Image," IEEE Transactions on Geoscience and Remote Sensing, 2014

[6] X. Geng* and W. Yang, "Cyclic Shift Matrix—A New Tool for the Translation Matching Problem," IEEE Transactions on Geoscience and Remote Sensing, 2019

[7] X. Geng*, Ji L, Wang F, et al. Statistical volume analysis: A new endmember extraction method for multi/hyperspectral imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016

[8] X. Geng* and H. Tang, "Clustering by connection center evolution," Pattern Recognition, 2019

[9] X. Geng* and L. Wang, "NPSA: Nonorthogonal Principal Skewness Analysis," IEEE Transactions on Image Processing, 2020

[10] X. Geng*, Ji L, Sun K. Clever eye algorithm for target detection of remote sensing imagery[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016

（2）专著

[1]《矩阵之美-基础篇》，科学出版社，2023

（1）中国科学院优秀导师