教育背景

2001年9月-2005年6月 江西师范大学计算机学院计算机科学与技术专业， 本科
2005年9月-2007年12月 北京航空航天大学计算机学院计算机应用技术专业，硕士
2007年9月-2013年1月 北京航空航天大学计算机学院计算机应用技术专业，博士

工作经历

2013年3月-2015年3月 加拿大University of New Brunswick，博士后
2015年3月-2018年12 北京航空航天大学计算机学院，副教授
2018年12月-2020年10 北京化工大学计算机学院，教授
2020年11月至今 yl23455永利官网计算机学院，特别研究员

研究成果

1. Q. Xu, B. Li, et. al, “Multiscale contour extraction using a level set method in optical satellite images”, IEEE Geosci. and Remote Sens. Lett., 8(5): 854-858, 2011.
2. Q. Xu, B. Li, et. al, “High-fidelity component substitution pansharpening by the fitting of substitution data”, IEEE Trans. on Geosci. and Remote Sens. , 52(11): 7380-7392, 2014.
3. Q. Xu, Y. Zhang, B. Li, “Improved SIFT match for optical satellite images registration by size classification of blob-like structures”, Remote Sens. Lett., 5(5): 451-460, 2014.
4. Q. Xu, Y. Zhang, B. Li, “Recent advances in pansharpening and key problems in applications”, Int. J. Image Data Fusion, 5: 175-195, 2014.
5. Q. Xu, Y. Zhang, et. al, “Pansharpening using regression of classified MS and Pan images to reduce color distortion”, IEEE Geosci. and Remote Sens. Lett., 12(1): 28-32, 2015.
6. L. Wang, Q. Dai, Q. Xu*, Y. Zhang, “Constructing hierarchical segmentation tree for feature extraction and land cover classification of high resolution MS imagery”, IEEE J. Selected Topics in Applied Earth Observ. and Remote Sens., 8(5): 1946-1961, 2015.
7. X. Wang, Q. Xu*, et. al, “Robust and fast scale-invariance feature transform match of large-size multispectral image based on keypoint classification”, J. Applied Remote Sens., 9 (096028): 1-20, 2015.
8. F. Gao, Q. Xu*, B. Li, “Robust aircraft segmentation from very high-resolution images based on bottom-up and top-down cue integration”, J. Applied Remote Sens., 10(016003): 1-11, 2016.
9. Y. Wang, J. Zheng, Q. Xu, B. Li, H. Hu, “An improved RANSAC based on the scale variation homogeneity”, J. Visual Commun. and Image Represent., 40: 751-764, 2016.
10. Q. Xu, W. Qiu, et. al, “Hyperspectral and panchromatic image fusion through an improved ratio enhancement”, J. Applied Remote Sens., 11(015017): 1-14, 2017.
11. F. Yang, Q. Xu*, B. Li, “Ship detection from optical satellite images based on saliency segmentation and structure-LBP feature”, IEEE Geosci. and Remote Sens. Lett., 14(5): 602-606, 2017.
12. F. Yang, Q. Xu*, B. Li, “Ship Detection from Thermal Remote Sensing Imagery through Region-based Deep Forest”, IEEE Geosci. and Remote Sens. Lett., 15(3): 449-453, 2018.
13. J. Zheng , Q. Xu*, et. al, “The On-orbit Non-Cloud-Covered Water Region Extraction for Ship Detection based on Relative Spectral Reflectance”, IEEE Geosci. and Remote Sens. Lett., 15(6): 818-822, 2018.
14. Li Q, Mou L., Xu Qizhi*, Zhang Y., Zhu X., “R3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos”, IEEE Trans. on Geosci. and Remote Sens. , 2019, 25(6): 5028-5042.
15. Y. Li, Qizhi Xu*, W. Li, J. Nie, “Automatic Clustering-Based Two-Branch CNN for Hyperspectral Image Classification”, IEEE Trans. on Geosci. and Remote Sens. , 2020, 0(0): 1-14.
16. J. Nie, Qizhi Xu*, J. Pan, M. Guo, “Hyperspectral Image Classification Based on Multiscale Spectral–Spatial Deformable Network”, IEEE Geosci. and Remote Sens. Lett., 2020, 0(0): 1-5.

教学工作

本科生《机器学习I》

社会兼职

1. 全国专业标准化技术委员会委员（SAC/TC 307）
2. IEEE Trans. on Geosci. and Remote Sens.， IEEE Geosci. and Remote Sens. Lett， J. Applied Remote Sens.等期刊审稿人

研究方向

空天感知与智能计算，数据融合，遥感大数据分析