基本信息
赵永超  男  博导  中国科学院电子学研究所
电子邮件: Ofcours_sure@sina.com.cn
通信地址: 北京北四环西路19号科电大厦815
邮政编码: 100190

招生信息

   
招生专业
081002-信号与信息处理
070503-地图学与地理信息系统
070901-矿物学、岩石学、矿床学
招生方向
高光谱遥感 图像处理
图像处理、理解与系统
地质遥感

教育背景

1994-07--1999-07   北京大学地质学系   博士
1990-11--1994-07   北京大学地质学系   学士
1989-09--1990-11   北京大学化学系   本科
1989-09--1990-07   石家庄陆军学院   预备役军官

工作经历

   
工作简历
2015-01~现在, 中国科学院大学, 岗位教授
2014-04~现在, 中国科学院电子学研究所, 研究员
2011-10~现在, 中国图象图形学学会, 常务理事
2010-05~2011-11,美国南佛罗里达大学(Uni. of South Frolida), 访问学者(博士后)
2006-08~2014-03,中国科学院电子学研究所, 副研究员
2006-06~2008-02,美国加州大学伯克利分校(Uni. of California, Berkeley), 访问学者
2005-05~2005-08,香港中文大学, 访问学者
2003-10~2003-11,澳大利亚CSIRO找矿与勘查研究所, 访问学者
2001-10~2006-08,中国科学院遥感应用研究所, 副研究员
1999-07~2001-09,中国科学院遥感应用研究所, 博士后
社会兼职
2017-01-01-今,中科院上海技术物理研究, 客座研究员
2016-09-30-今,中国图象图形学学会提名与奖励委员会, 委员,秘书长
2013-07-01-今,中国图像图形学会数码影像专业委员会, 常务理事
2011-07-01-今,中国图像图形学会常务理事, 常务理事
2004-05-20-今,香港中文大学地理系, 客座研究员

教授课程

高光谱遥感基础与数据处理
通信工程与电子技术系列讲座

专利与奖励

   
奖励信息
(1) 地理空间信息关键技术及应用工程-国家科技进步奖, 一等奖, 国家级, 2015
(2) 卫星地面处理系统-干涉成像光谱仪光谱恢复系统-国防科技进步奖, 一等奖, 部委级, 2014
(3) 伪装目标识别, 三等奖, 部委级, 2010
专利成果
( 1 ) 一种高空间、高光谱分辨率的高性能成像光谱仪, 发明, 2011, 第 1 作者, 专利号: 201110049988.7
( 2 ) 一种高精度的(极)多元成像成像系统相对辐射定标方法, 实用新型, 2010, 第 1 作者, 专利号: 201010130767.8

出版信息

   
发表论文
[1] 孟曦婷, 计璐艳, 赵永超, 杨炜暾. 基于深度学习的多尺度导弹发射井目标检测. 中国科学院大学学报[J]. 2021, 38(6): 800-808, http://lib.cqvip.com/Qikan/Article/Detail?id=7105972624.
[2] 赵永超, 唐海蓉. 1984-2020年密云水库水面信息遥感监测与分析. 遥感学报[J]. 2021, [3] 陈鑫, 计璐艳, 于凯, 赵永超. 日光诱导叶绿素荧光对山东省干旱的监测. 中国科技论文[J]. 2021, 16(5): 564-570, http://lib.cqvip.com/Qikan/Article/Detail?id=7104810913.
[4] Xi Yanxin, Luyan Ji, Weitun Yang, Xiurui Geng, Yongchao Zhao. Multitarget Detection Algorithms for Multitemporal Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing[J]. 2020, [5] Geng, Xiurui, Ji, Luyan, Zhao, Yongchao. Filter tensor analysis: A tool for multi-temporal remote sensing target detection. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING[J]. 2019, 151: 290-301, http://dx.doi.org/10.1016/j.isprsjprs.2019.03.008.
[6] Yang, Jirui, Ji, Luyan, Geng, Xiurui, Yang, Xue, Zhao, Yongchao. Building detection in high spatial resolution remote sensing imagery with the U-Rotation Detection Network. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2019, 40(15): 6036-6058, http://dx.doi.org/10.1080/01431161.2019.1587200.
[7] Jia, Jinrang, Ji, Luyan, Zhao, Yongchao, Geng, Xiurui. Hyperspectral image super-resolution with spectral-spatial network. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2018, 39(22): 7806-7829, [8] Geng, Xiurui, Yang, Weitun, Ji, Luyan, Wang, Fuxiang, Zhao, Yongchao. The match filter (MF) is always superior to constrained energy minimization (CEM). REMOTE SENSING LETTERS[J]. 2017, 8(7): 696-702, [9] Geng, Xiurui, Ji, Luyan, Wang, Fuxiang, Zhao, Yongchao, Gong, Peng. Statistical Volume Analysis: A New Endmember Extraction Method for Multi/Hyperspectral Imagery. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2016, 54(10): 6100-6109, https://www.webofscience.com/wos/woscc/full-record/WOS:000385178700034.
[10] Yu, Kai, Liu, Suhong, Zhao, Yongchao. CPBAC: A quick atmospheric correction method using the topographic information. REMOTE SENSING OF ENVIRONMENT[J]. 2016, 186: 262-274, http://dx.doi.org/10.1016/j.rse.2016.08.010.
[11] 赵永超. A new non-negative matrix factorization method based on barycentric coordinates for endmember extraction in hyper- spectral remote sensing. International Journal of Remote Sensing. 2015, [12] 赵永超. Joint Skewness and Its Application in Unsupervised Band Selection for Small Target Detection Improving the Accuracy of the Water Surface Cover Type in the 30 m FROM-GLC Product. Scientific Reports. 2015, [13] Yu, Kai, Zhao, Yongchao, Liu, Suhong. IMRAN: a noise estimation method for relative radiometric calibration data. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2015, 36(16): 4177-4194, http://www.irgrid.ac.cn/handle/1471x/1047623.
[14] Geng, Xiurui, Sun, Kang, Ji, Luyan, Zhao, Yongchao, Tang, Hairong. Optimizing the Endmembers Using Volume Invariant Constrained Model. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2015, 24(11): 3441-3449, https://www.webofscience.com/wos/woscc/full-record/WOS:000357793200005.
[15] Ji, Luyan, Geng, Xiurui, Sun, Kang, Zhao, Yongchao, Gong, Peng. Target Detection Method for Water Mapping Using Landsat 8 OLI/TIRS Imagery. WATER[J]. 2015, 7(2): 794-817, https://doaj.org/article/88b2f3bd999d4d6b9c0f81eacfa1aa51.
[16] 赵永超. A higher-order statistical tensor based algorithm for anomaly detection in hyperspectral imagery. Scientific Reports. 2014, [17] Geng, Xiurui, Ji, Luyan, Sun, Kang, Zhao, Yongchao. CEM: More Bands, Better Performance. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2014, 11(11): 1876-1880, https://www.webofscience.com/wos/woscc/full-record/WOS:000337277500005.
[18] Geng, Xiurui, Sun, Kang, Ji, Luyan, Zhao, Yongchao. A Fast Volume-Gradient-Based Band Selection Method for Hyperspectral Image. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2014, 52(11): 7111-7119, http://dx.doi.org/10.1109/TGRS.2014.2307880.
[19] Geng, Xiurui, Ji, Luyan, Zhao, Yongchao, Wang, Fuxiang. A New Endmember Generation Algorithm Based on a Geometric Optimization Model for Hyperspectral Images. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2013, 10(4): 811-815, http://159.226.65.12/handle/80137/9950.
[20] 赵永超. A Fast Endmember Extraction Algorithm based on Gram Determinant.. Geoscience and Remote Sensing Letters, IEEE. 2013, [21] Geng, Xiurui, Ji, Luyan, Zhao, Yongchao, Wang, Fuxiang. A Small Target Detection Method for the Hyperspectral Image Based on Higher Order Singular Value Decomposition (HOSVD). IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2013, 10(6): 1305-1308, http://159.226.65.12/handle/80137/9949.
[22] 赵永超. A New Nonnegative Matrix Factorization Method Based on Barycentric Coordinate for Endmember Extract. International Journal of Remote Sensing. 2013, [23] Geng, Xiurui, Xiao, Zhengqing, Ji, Luyan, Zhao, Yongchao, Wang, Fuxiang. A Gaussian elimination based fast endmember extraction algorithm for hyperspectral imagery. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING[J]. 2013, 79(5): 211-218, http://dx.doi.org/10.1016/j.isprsjprs.2013.02.020.
[24] Gong, Peng, Wang, Jie, Yu, Le, Zhao, Yongchao, Zhao, Yuanyuan, Liang, Lu, Niu, Zhenguo, Huang, Xiaomeng, Fu, Haohuan, Liu, Shuang, Li, Congcong, Li, Xueyan, Fu, Wei, Liu, Caixia, Xu, Yue, Wang, Xiaoyi, Cheng, Qu, Hu, Luanyun, Yao, Wenbo, Zhang, Han, Zhu, Peng, Zhao, Ziying, Zhang, Haiying, Zheng, Yaomin, Ji, Luyan, Zhang, Yawen, Chen, Han, Yan, An, Guo, Jianhong, Yu, Liang, Wang, Lei, Liu, Xiaojun, Shi, Tingting, Zhu, Menghua, Chen, Yanlei, Yang, Guangwen, Tang, Ping, Xu, Bing, Giri, Chandra, Clinton, Nicholas, Zhu, Zhiliang, Chen, Jin, Chen, Jun. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2013, 34(7): 2607-2654, http://dx.doi.org/10.1080/01431161.2012.748992.
[25] Zhao, Yongchao, Pu, Ruiliang, Bell, Susan S, Meyer, Cynthia, Baggett, Lesley P, Geng, Xiurui. Hyperion Image Optimization in Coastal Waters. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2013, 51(2): 1025-1036, http://159.226.65.12/handle/80137/9959.
[26] Pu, Ruiliang, Bell, Susan, Baggett, Lesley, Meyer, Cynthia, Zhao, Yongchao. Discrimination of Seagrass Species and Cover Classes with in situ Hyperspectral Data. JOURNAL OF COASTAL RESEARCH[J]. 2012, 28(6): 1330-1344, https://www.webofscience.com/wos/woscc/full-record/WOS:000311873100002.
[27] Pu, Ruiliang, Bell, Susan, Meyer, Cynthia, Baggett, Lesley, Zhao, Yongchao. Mapping and assessing seagrass along the western coast of Florida using Landsat TM and EO-1 ALI/Hyperion imagery. ESTUARINE COASTAL AND SHELF SCIENCE[J]. 2012, 115: 234-245, http://dx.doi.org/10.1016/j.ecss.2012.09.006.
[28] 赵永超. Improving Wetland Mapping by Using Multi-Source Data Sets. Image and Data Fusion (ISIDF),. 2011, [29] 赵永超. A Simple Topographic Correction Method Based on Smoothed Terrain. Image and Data Fusion (ISIDF). 2011, [30] Geng XiuRui, Zhao YongChao, Liu SuHong, Wang FuXiang. Matrix calculation of high-dimensional cross product and its application in automatic recognition of the endmembers of hyperspectral imagary. SCIENCE CHINA-INFORMATION SCIENCES[J]. 2011, 54(1): 197-203, http://lib.cqvip.com/Qikan/Article/Detail?id=36776985.
[31] Geng, Xiurui, Zhao, Yongchao, Wang, Fuxiang, Gong, Peng. A new volume formula for a simplex and its application to endmember extraction for hyperspectral image analysis. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2010, 31(4): 1027-1035, https://www.webofscience.com/wos/woscc/full-record/WOS:000275877800012.
[32] Liu Yue, Zhao Yongchao, Geng Xiurui, Tang Hairong, Ding Chibiao. Analysis of the Phase Error Non-Linearity of FTS and Discussion about Mertz Method. SPECTROSCOPY AND SPECTRAL ANALYSIS[J]. 2009, 29(7): 1809-1812, https://www.webofscience.com/wos/woscc/full-record/WOS:000267632100020.
[33] 赵永超. Principle of little target detection for hyperspectral imagery. SCIENCE CHINA(D). 2007, [34] 赵永超. An Introduction on a CCD Camera + Filter-Group System for Acquiring Surface VNIR Hyperspectral Images with High Spatial Resolution. IGARSS2005. 2005, [35] Zhao YC, Meng ZJ, Wing L, Miyazaki S, Geng XR, Zhou GH, Liu R, Kosaka N, Takahashi M, Li XW. A new cross-track radiometric correction method (VRadCor) for airborne hyperspectral image of operational modular imaging spectrometer(OMIS). IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedingsnull. 2005, 3553-3556, http://ir.ceode.ac.cn/handle/183411/23608.
[36] 赵永超. 地物波谱中的不确定性问题-关于“同物异谱”和“异物同谱”的认识. 遥感学报. 2004, [37] Zhao YC, Tong QX, Zheng LF, Zhang B, Liu TJ, Wu CQ, Bai JW, Zhang X. Hyperspectral remote sensing monitoring on hot wastewater of futtsu power plant in Tokyo Bay, Japan, by using airborne Operational Modular Imaging Spectrometer (OMIS). Ocean Remote Sensing and Applicationsnull. 2003, 347-353, http://ir.ceode.ac.cn/handle/183411/23609.
[38] Zhao YC, Tong QX, Zheng LF, Zhang B, Zhang X, Bai JW, Wu CQ, Liu TJ. A kernel adaptive filter (SRSSHF) and quality improvement method for hyperspectral image on the base of spectral dimension recognition and spatial dimension smoothing according to CSAM. Image Matching and Analysisnull. 2001, 230-236, http://ir.ceode.ac.cn/handle/183411/23611.

科研活动

   
科研项目
( 1 ) 极多元成像系统相对辐射定标, 主持, 国家级, 2011-01--2014-09
( 2 ) 自动物候监测系统, 主持, 国家级, 2015-01--2019-12
( 3 ) 傅立叶变换干涉成像光谱仪光谱恢复系统研制, 主持, 国家级, 2010-04--2015-12
( 4 ) 傅立叶变换干涉成像光谱仪野外辐射定标与验证, 主持, 国家级, 2012-09--2015-12
( 5 ) 卫星辐射定标与彩色处理系统, 主持, 国家级, 2013-10--2015-12
( 6 ) 信息处理平台关键技术研究及算法研究, 主持, 国家级, 2013-12--2016-12
( 7 ) 高分5号辐射处理与质量提升技术, 主持, 国家级, 2015-01--2017-12
( 8 ) 海上定标场建设, 主持, 国家级, 2015-10--2018-04
( 9 ) 微光和红外定标处理系统, 主持, 国家级, 2015-06--2017-12
( 10 ) 云海卫星应急定标, 主持, 国家级, 2017-01--2017-12
( 11 ) 高光 谱图像优化与目标识别, 主持, 国家级, 2017-06--2018-05
( 12 ) 滇池水华检测, 主持, 省级, 2017-03--2018-02
( 13 ) 高光谱遥感研究平台, 主持, 部委级, 2018-01--2018-12
( 14 ) 地面空中空间多谱段目标检测, 主持, 国家级, 2017-06--2018-05
参与会议
(1)高光谱   图象图形学学会学术年会   2016-11-10
(2)高光谱数据处理与辐射质量提升   第三届高光谱遥感会议   2016-11-08
(3)高光谱遥感辐射定标新方法介绍   新型光学遥感技术   赵永超   2013-09-20
(4)高光谱遥感应用中的关键问题及对策   高光谱成像技术及其应用研讨会   赵永超   2012-11-06
(5)Hyperspectral Remote Sensing: Introduction on Some Understandings, Models and Tools   中国科技部-欧洲空间局合作“龙计划”陆地遥感级培训班   赵永超   2012-10-15

指导学生

已指导学生

李琳  硕士研究生  081002-信号与信息处理  

计璐艳  博士研究生  081002-信号与信息处理  

孙康  博士研究生  081002-信号与信息处理  

现指导学生

凌程  硕士研究生  081002-信号与信息处理  

杨随心  硕士研究生  085208-电子与通信工程  

贾金让  硕士研究生  081002-信号与信息处理  

李文  硕士研究生  081002-信号与信息处理