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研究员

  • 姓名: 薛存金
  • 性别: 男
  • 职称: 研究员
  • 职务: 
  • 学历: 研究生
  • 电话: 82178126
  • 传真: 
  • 电子邮件: xuecj@aircas.ac.cn
  • 通讯地址: 新技术园区 b座b502
    简  历:
  •     薛存金,男,博士,中国科学院空天信息创新研究院,研究员。中国科学院特聘研究员(骨干岗位),中国科学院青年促进会会员(2013),可持续发展大数据国际研究中心数字海气研究室主任。研究方向为海洋时空数据挖掘,重点开展海洋时空挖掘理论与方法、海洋可持续发展目标监测与评估、数字孪生海洋等方面研究,提出了海洋时空过程挖掘理论与方法,发展了海洋时空挖掘算法100多种。先后主持承担国家自然科学基金项目3项、国家重点研发计划课题1项、子课题2项、国家863计划子课题2项、中科院战略先导专项(a类)子课题1项、中科院人才项目1项、中科院空天院颠覆性项目1项,可持续发展国际研究中心科技创新项目1项、生态环保部卫星环境应用中心等部委项目10余项。在国内外学术期刊发表学术论文80余篇,出版专著1部,申请发明专利10件,软件著作权登记10项。

    工作经历:

    2020.12-至今       中国科学院空天信息创新研究院研究员 室主任

    2013.01-2020.11中国科学院对地观测与数字地球科学中心/中国科学院遥感与数字地球研究所/中国科学院空天信息创新研究院副研究员

    2008.06-2012.12    中国科学院对地观测与数字地球科学中心助理研究员

    社会任职:
    研究方向:
  • 海洋时空挖掘与可持续发展

    承担科研项目情况:
  • [1]国家任务:面向过程的海洋异常变化时空聚类模型, 负责人, 国家自然科学基金, 2017-01--2020-12

    [2]国家任务:面向过程的海洋异常变化时空关联模式挖掘方法, 负责人, 国家自然科学基金, 2014-01--2017-12

    [3]国家任务:面向过程的海洋gis时空表达与建模研究, 负责人, 国家自然科学基金, 2010-01--2012-12

    [4]国家任务:数字海洋孪生技术, 负责人, 国家重点研发计划课题, 2022-12--2025-11

    [5]国家任务:城市暴雨事件时空模式挖掘, 负责人,国家重点研发计划子课题, 2017-09--2021-12

    [6]国家任务:海洋初级生产力与海洋环境及人类活动耦合认知模型, 负责人, 国家重点研发计划子课题, 2016-09--2020-12

    [7]国家任务:时空智能关联分析与挖掘技术研究, 负责人, 国家863计划子课题, 2012-01--2015-12

    [1]中国科学院项目:全球海洋异常变化过程遥感监测系统, 负责人, 中国科学院计划a类先导专项子课题, 2018-01--2022-12

    [2]中国科学院项目:中科院青促会项目, 负责人, 中国科学院计划, 2013-01--2016-12

    [3]研究所自主部署项目:海洋表面温度异常变化行为识别与挖掘技术, 负责人,中科院空天院重点部署项目, 2019-09--2021-10

    [4]研究所自主部署项目:全球海洋溶解氧浓度重构模型及脱氧驱动力分析, 负责人,cbas科技创新项目,2022-05--2023-12

    代表论著:
  • (1)学术论文

    sci检索论文:

    [1]2023:xue cunjin.; niu, c.; xu, y.; su, f. a process-oriented exploration of the evolutionary structures of ocean dynamics with time series of a remote sensing dataset. remote sens. 2023, 15, 348. https://doi.org/10.3390/ rs15020348

    [2]2022:xue cunjin, tianyu zhang, yangfeng xu, fenzhen su, an cean current-oriented graph-based model for representing argo trajectories, computers & geosciences, volume 166, 2022, 105143, https://doi.org/10.1016/ j.cageo .2022.105143. 

    [3]2022:li, l.; xue, c.(通讯作者); xu, y.;wu, c.; niu, c. posdms: a mining system for oceanic dynamics with time series of raster-formatted datasets. remote sens. 2022, 14, 2991. https://doi.org/10.3390/rs14132991 

    [4]2022:xue, c., xu, y., & he, y. (2022). a global process-oriented sea surface temperature anomaly dataset retrieved from remote sensing products. big earth data, 6(2), 179-195. doi:10.1080/20964471.2021.1988426 

    [5]2021:ping, b.; meng y.; xue cunjin, su, f. can the structure similarity of training patches affect the sea surface temperature deep learning super-resolution? remote sensing, 2021, remote sens. 2021,13, 3568. https://doi.org/10.3390/ rs13183568.

    [6]2021:li, l.; xu, y.; xue, c(通讯作者). etal.  y. a process‐oriented approach to identify evolutions of sea surface temperature anomalies with a time‐series of a raster dataset. isprs int. j. geo‐inf. 2021,10, 500.

    [7]2019:xue cunjin, liu, j., yang, g., wu, c. (2019). a process-oriented method for tracking rainstorms with a time-series of raster datasets. applied sciences, 9, 2468; doi:10.3390/app9122468

    [8]2019:xue cunjin, wu, c., liu, j., su, f. (2019). a novel process-oriented graph storage for dynamic geographic phenomena. isprs int. j. geo-inf., 8, 100. 

    [9]2019: liu j., xue cunjin(通讯作者), dong qing, wu chengbin, xu yangfeng. (2019). a process-oriented spatiotemporal clustering method for complex trajectories of dynamic geographic phenomena [j]. ieee access, 7:155951-155964. 

    [10]2018: liu j., xue cunjin(通讯作者), he y., et al. (2018). dual-constraint spatiotemporal clustering approach for exploring marine anomaly patterns using remote sensing products[j]. ieee journal of selected topics in applied earth observations and remote sensing, 11(11):3963-3976. 

    [11]2017:xue cunjin, liao x h. (2017). novel algorithm for mining enso-oriented marine spatial association patterns from raster-formatted datasets. isprs international journal of geo-information, 6(139) doi:10.3390/ijgi6050139. 

    [12]2017:xue cunjin, fan, x., dong, q., & liu, j. (2017). using remote sensing products to identify marine association patterns in factors relating to enso in the pacific ocean. isprs international journal of geo-information, 6(1), 32-. 

    [13]2017:xiaohan, l., xue cunjin(通讯作者), fenzhen, s., & vanesa, m.. (2017). tree-based approach for exploring marine spatial patterns with raster datasets. plos one, 12(5), e0177438-.

    [14]2017:liao, z., dong, q., & xue cunjin (2017). evaluation of sea surface temperature from fy-3c data. international journal of remote sensing, 38(17), 4954-4973. 

    [15]2017:liao, z., dong, q., & xue cunjin (2017). a bias correction method for fy-3c virr sst data. remote sensing letters, 8(5), 429-437. 

    [16]2017:liao z, dong q, xue cunjin, et al. (2017). reconstruction of daily sea surface temperature based on radial basis function networks [j]. remote sensing, 9(11), 1204; https://doi.org/10.3390/rs9111204. 

    [17]2016:xue cunjin, liu, j., li, x., & dong, q. (2016). normalized-mutual-information-based mining method for cascading patterns. international journal of geo-information, 5(10), 174.

    [18]2016:wanjiao song, qing dong, xue cunjin. (2016). two types of el ni?o and extratropical sea-level pressure variations[j].international journal of remote sensing,2016,37(22):5443-5456. doi:10.1080/01431161.2016.1232872. 

    [19]2016:wanjiao song, qing dong, xue cunjin. (2016). a classified el ni?o index using avhrr remote-sensing sst data[j]. international journal of remote sensing, 37(2):403-417. doi:10.1080/01431161.2015.1125553.

    [20]2016:hou, x., dong, q., xue cunjin, & wu, s. (2016). seasonal and interannual variability of chlorophyll-alpha and associated physical synchronous variability in the western tropical pacific. journal of marine systems, 158, 59-71. 

    [21]2015:xue cunjin, song, w., qin, l., dong, q., & wen, x. (2015). a spatiotemporal mining framework for abnormal association patterns in marine environments with a time series of remote sensing images. international journal of applied earth observations & geoinformation, 38, 105-114. 

    [22]2015:xue cunjin, song, w., qin, l., dong, q., & wen, x. (2015). a mutual-information-based mining method for marine abnormal association rules. computers & geosciences, 76, 121-129. 

    [23]2015:xue cunjin, dong, q., li, x., fan, x., li, y., & wu, s. (2015). a remote-sensing-driven system for mining marine spatiotemporal association patterns. remote sensing, 7(7), 9149-9165.

    [24]2015:xue cunjin, dong, q., & qin, l. (2015). a cluster-based method for marine sensitive object extraction and representation. journal of ocean university of china, 14(4), 612-620.

    [25]2014:zhang, m., dong, q., cui, t., xue cunjin, & zhang, s. (2014). suspended sediment monitoring and assessment for yellow river estuary from landsat tm and etm imagery. remote sensing of environment, 146, 136-147.

    [26]2014:xue cunjin., dong, q. , & fan, x. . (2014). spatiotemporal association patterns of multiple parameters in the northwestern pacific ocean and their relationships with enso. international journal of remote sensing, 35(11-12), 4467-4483.

    [27]2014:li, l. , xue cunjin(通讯作者), liu, j. , wang, z. , & qin, l. . (2014). raster-based visualization of abnormal association patterns in marine environments. journal of applied remote sensing, 8(1), 083615.

    [28]2014:hou, x., dong, q., xue cunjin, song, w., qin, l., & fan, x. (2014). seasonal evolution of the interannual variability of chlorophyll-aconcentration and its forcing factors in the northwestern pacific from 1998 to 2010. international journal of remote sensing, 35(11-12), 4138-4155.

    [29]2012:xue cunjin, xiaoyang wen, qing dong. (2012). tracking dynamic sea-ice process with radarsat-2 imagery[j]. international journal of offshore and polar engineering, 22(2):150-156.

    [30]2012:xue cunjin, dong, q., & xie, j. (2012). marine spatio-temporal process semantics and its applications-taking the el ni?o southern oscilation process and chinese rainfall anomaly as an example. acta oceanologica sinica, 31(2), 16-24.

    [31]2008:xue cunjin, zhou, c., su, f., & zhang, d. (2008). uncertainty representation of ocean fronts based on fuzzy-rough set theory. journal of ocean university of china, 7(2), 131-136.

    [32]2008:xue cunjin, su fenzhen, du yunyan, & yang xiaomel. (2008). integration technology research on marine geographical information system. acta oceanologica sinica, 27(6), 40-48.

    ei检索论文:

    [1]2023:岳林峰,薛存金(通讯作者),王振国,牛超然. 基于argo剖面浮标观测的海洋溶解氧空间-质量迭代插值方法[j].地球信息科学学报,2023,22

    [2]2021:杜云艳,易嘉伟,薛存金,千家乐、裴韬. 多源地理大数据支撑下的地理事件建模与分析. 地理学报,2021,76(11): 2853-2866.

    [3]2019: liu jingyi, xue cunjin(通讯作者), wu chengbin, et al. 2019.  a process-oriented spatiotemporal clusteringmethod for complex trajectories. the international archives of the photogrammetry, remote sensing and spatial information sciences, volume xlii-2/w13, 2019 isprs geospatial week 2019, 10–14 june 2019, enschede, the netherlands

    [4]2019:李连伟, 伍程斌, 崔建勇, 刘敬一, 薛存金. (2019)基于图结构的暴雨事件组织方法研究[j]. 系统工程理论与实践, (03):805-816.

    [5]2016:liao, z., dong, q., xue cunjin, bi, j., wu, s., & song, w. (2016). multi-resolution sea surface temperature modeling based on radial basis function networks. geoscience & remote sensing symposium.

    [6]2015:秦丽娟, 董庆, 樊星, 薛存金, 侯雪燕, 宋晚郊. (2015)卫星高度计的北太平洋中尺度涡时空分析[j]. 遥感学报, 19(05):806-817.

    [7]2015:毕经武, 董庆, 薛存金, 徐跃通. (2015)基于高度计遥感数据的北太平洋中尺度涡提取[j]. 遥感学报, 19(06):935-946.

    [8]2014:ying, c. , dong, q. , xue cunjin , & wen, x. . (2014). a novel method for processing multivariate data of marine remote sensing. iop conference series: earth and environmental science, 17, 012209.

    [9]2014:xue, cunjin, song, wanjiao,qin, lijuan, et al.raster-oriented abnormal association pattern mining in marine environments[c]. 2014 10th international conference on natural computation: 2014 10th international conference on natural computation (icnc), 19-21 august 2014, xiamen, china.2014:736-741.

    [10]2014:xue cunjin, dong, q., ma wx. (2014). object-oriented spatial-temporal association rules mining on ocean remote sensing imagery. iop conf. series: earth and environmental science 17 012109 doi:10.1088/1755-1315/17/1/012109

    [11]2014:song, w. , dong, q. , xue cunjin , hou, x. , & qin, l. . (2014). el ni?o indices based on subareas of sst in pacific. proceedings of spie.

    [12]2014:qin, l., dong, q., xue cunjin, hou, x., & song, w. (2014). a new method for mesoscale eddy detection based on watershed segmentation algorithm. ocean remote sensing & monitoring from space.

    [13]2014:ma, w. , xue, cunjin, & zhou, j. . (2014). mining time-series association rules from western pacific spatial-temporal data. iop conference series: earth and environmental science, 17, 012224.

    [14]2014:hou, x., dong, q., & xue cunjin (2014). the multi-timescale variability of the ocean physical-biological association in the tropical pacific. proceedings of spie - the international society for optical engineering, 9261.

    [15]2014:hou, x. y. , dong, q. , & xue, cunjin. (2014). spatial-temporal variation of the surface chlorophyll on seasonal timescale in the western pacific during 1997–2010. iop conference series: earth and environmental science, 17, 012117.

    [16]2013:dong, q., xue cunjin, & ren, y. (2013). spatio-temporal variability of drought over northern china and its relationships with indian-pacific sea surface temperatures. remote sensing and modeling of the atmosphere, oceans, and interactions iv.

    [17]2011:薛存金, 温晓阳, 董庆. (2011) sar图像的自适应边缘保持去噪滤波[j].应用科学学报, 29(01):44-50.

    [18]2011:谢炯, 张丰, 薛存金. (2011) 一种顾及级联时空变化描述的土地利用变更数据模型[j]. 中国土地科学, 25(11):81-87.

    [19]2011:xue cunjin, qing, d. , fengtai, s. , & jiong, x. . (2011). spatio-temporal structure of sst in el nino regions and its relationships with zonal displacement anomaly of western pacific warm pool. ieee international geoscience and remote sensing symposium. 2025-2028.

    [20]2011:xue cunjin, dong qing, wen xiaoyang, wang xiaoxia. (2011).  tracking the dynamic sea ice process with radarsat-2 imagery. international society of offshore and polar engineers, 986-991

    [21]2011:wen, x., xue, cunjin, & dong, q. (2011). the arctic sea ice surface roughness estimation and application. international society of offshore and polar engineers, 958-961.

    [22]2010:薛存金, 周成虎, 苏奋振, 董庆, 谢炯. (2010) 面向过程的时空数据模型研究[j]. 测绘学报, 39(01):95-101.

    [23]2010:薛存金, 董庆. (2010)多海洋参数赤潮modis综合监测[j]. 应用科学学报, 28(02):147-151.

    [24]2010:xue cunjin, dong, q., & xie, j. (2010). spatio-temporal variability of western pacific warm pool eastern edge and its relationship with enso. international conference on geoinformatics.

    [25]2009:xie, j., & xue cunjin (2009). a top-down hierarchical spatio-temporal process description method and its data organization. proceedings of spie - the international society for optical engineering, 7492, 74922p-74922p-10.

    [26]2005:周军其, 薛存金, 孙家抦. (2005) 基于修正后直方图不变矩的符号图像变化检测[j]. 武汉大学学报(信息科学版), 30(2):150-153.

    其他论文:

    [1]2022: 薛存金,苏奋振,何亚文.过程——一种地理时空动态分析的新视角[j].地球科学进展,2022,37(01):65-79.

    [2]2022: 李连伟,张源榆,岳增友,薛存金,付宇轩,徐洋峰.基于全卷积网络模型的高分遥感影像内陆网箱养殖区提取[j].山东科学,2022,35(02):1-10.

    [3]2021: 李连伟,付宇轩,薛存金(通讯作者)等.全球海洋表面叶绿素a浓度20年(1998–2018)月-季-年度数据集研发 .全球变化数据学报2021.5(2):219-225. doi: 10.3974/geodp.2021.02.15 .

    [4]2021: 孙雨琦,薛存金(通讯作者),洪娅岚等.全球海洋初级生产力标准化距平数据集.全球变化数据学报2021.5(2):162-174. doi: 10.3974 /geodp.2021.02.08

    [5]2021: 徐洋峰,李连伟,薛存金(通讯作者),岳增友,刘敬一.基于avhrr和modis的海表温度一致性分析[j].海洋环境科学,2021,40(01):122-132.

    [6]2020: 孙强,薛存金(通讯作者),刘敬一,刘星,洪娅岚,伍程斌.全球海洋初级生产力与海洋环境要素时空关联模式挖掘分析[j].海洋环境科学,2020,39(03):340-347 352.

    [7]2019: 洪娅岚,薛存金(通讯作者),刘敬一,刘星,孙强,伍程斌.全球海洋初级生产力时空异常变化对enso事件的响应[j].地球信息科学学报,2019,21(10):1538-1549.

    [8]2019:岳增友,李连伟,徐洋峰,崔建勇,薛存金.大河三角洲环境脆弱性评价方法与应用[j].安全与环境工程,2019,26(06):114-121.

    [9]2019:杨光辉,薛存金(通讯作者),刘敬一,邬群勇,伍程斌.基于时序栅格的暴雨事件提取与追踪方法[j].应用科学学报,2019,37(04):510-518.

    [10]2019:裴韬, 郭思慧, 袁烨城, 张雪英, 袁文, 高昂, 赵志远, 薛存金. (2019)面向公共安全事件的网络文本大数据结构化研究[j]. 地球信息科学学报, 21(01):2-13.

    [11]2017:刘敬一, 薛存金(通讯作者), 樊彦国, 孔凡萍, 何亚文. (2017)一种面向栅格的空间-属性双重约束聚类方法[j]. 地球信息科学学报, 19(04):447-456.

    [12]2016:李晓红, 闫金凤, 李溢龙, 薛存金(通讯作者). (2016)基于时序栅格的海洋异常事件提取方法[j]. 地球信息科学学报, 18(04):453-460.

    [13]2016:宋晚郊, 董庆, 薛存金, 吴书超. (2016)热带及北太平洋海表温度与两类el ni?o事件的关系[j]. 海洋环境科学, 35(03):410-416 433.

    [14]2016:李溢龙, 李晓红, 薛存金(通讯作者), 林孝松. (2016)一种基于事件的海洋关联规则挖掘方法[j]. 应用科学学报, 34(04):387-396.

    [15]2016:吴书超, 董庆, 薛存金(通讯作者), 毕经武, 廖志宏, 宋晚郊. (2016)面向中尺度涡提取的sla去噪方法研究[j]. 地球信息科学学报, 18(09):1240-1248.

    [16]2015:秦丽娟, 董庆, 薛存金. (2015)西北太平洋热带气旋源地30a的季节和年代际变化[j]. 海洋环境科学, 34(05):723-728.

    [17]2014:应晨璐, 董庆, 薛存金, 温晓阳. (2014)大区域海洋遥感数据处理方法研究[j]. 海洋科学, 38(08):116-125.

    [18]2012:杨彩虹, 薛存金(通讯作者), 季民. (2012) 近30年西北太平洋热带气旋时空特征分析[j]. 地球信息科学学报, 14(05):611-617.

    [19]2012:薛存金, 董庆. (2012)海洋时空过程数据模型及其原型系统构建研究[j]. 海洋通报, 31(06):667-674.

    [20]2011:谢炯, 薛存金, 张丰. (2011) 时态gis的面向过程语义与has表达框架[j]. 地理与地理信息科学,  27(04):1-7.

    [21]2010:薛存金, 谢炯. (2010) 时空数据模型的研究现状与展望[j]. 地理与地理信息科学, 26(01):1-6.

    [22]2009:薛存金, 苏奋振. (2009) 不确定性对象表达及其时空拓扑研究[j]. 地球信息科学学报, 11(04):475-481.

    [23]2009:薛存金, 苏奋振. (2009) 不确定性对象表达及其时空拓扑研究[j]. 地球信息科学学报, 11(04):475-481.

    [24]2008:薛存金, 苏奋振, 杜云艳. (2008) 海洋地理信息系统集成技术分析[j]. 海洋学报, (04):56-62.

    [25]2008:薛存金, 苏奋振, 周军其, 郭衍游, 仉天宇. (2008) 基于形态学的海洋锋形态特征提取[j]. 海洋科学, (05):57-61.

    [26]2007:薛存金, 苏奋振, 周军其. (2007)基于小波分析的海洋锋形态特征提取[j]. 海洋通报, (02):20-27.

    [27]2007:薛存金, 苏奋振, 周成虎. (2007) 基于特征的海洋锋线过程时空数据模型分析与应用[j]. 地球信息科学, (05):50-56 128.

    [28]2006:薛存金, 苏奋振, 周军其.(2006)最佳结构元素尺寸的自适应确定算法[j]. 中国图象图形学报, (03):317-324.

    [29]2006:李珊, 薛存金, 贺惠忠. (2006)基于特征的海洋线数据模型[j]. 中山大学学报论丛, (09):193-198.

    (2)专著

    [1]薛存金,苏奋振。海洋时空过程数据模型,科学出版社,北京,2023年。

    (3)国家发明专利:

    [1]薛存金,苏奋振,刘健,牛超然,张鹏. 一种海洋静动一体图建模的方法及装置. cn:202310730196.9.

    [2]薛存金,王振国,岳林峰. 一种基于argo 温盐剖面的海洋溶解氧浓度重构模型构建方法. cn: 202310062810.9

    [3]薛存金,岳林峰,王振国. 一种基于argo的海洋溶解氧空间格模型构建方法. cn: 202211383915.6

    [4]薛存金,苏奋振,牛超然. 一种面向过程的海洋时空动态演变结构提取方法及装置. cn: 202210227245.2

    [5]薛存金,苏奋振,付宇轩.一种海洋动态演变与enso事件关联表达方法及装置. cn:  202210241815.3

    [6]刘敬一,薛存金, 等. 一种enso事件类型划分方法. cn:202110741816.x

    [7]薛存金, 苏奋振. 一种argo轨迹的处理方法及系统. cn: 202010412912.5.

    [8]薛存金, 刘敬一, 伍程斌. 动态地理现象的数据组织与存储方法、装置. cn: 201910079302.5, 2021-03-16.

    [9]薛存金, 刘敬一, 杨光辉. 一种暴雨过程的重构方法及系统. cn: 201811275674.7

    [10]温晓阳,董庆,薛存金. 基于线激光器的海冰表面粗糙度测量方法.cn: 201110415382.0

    (4)软件著作权登记

    [1]薛存金,徐洋峰. 海洋时空过程挖掘分析系统no.2022sr0406836

    [2]薛存金,付宇轩. 海洋时空过程可视化系统no.2022sr0406837

    [3]薛存金,刘敬一. 海洋异常时空聚类挖掘系统 no.2021sr1023713

    [4]薛存金,伍程斌. 海洋遥感数据时空处理系统no.2018sr1067840

    [5]薛存金.南中国海岛礁遥感信息系统no.2017sr489658

    [6]薛存金.海洋异常时空关联模式分析挖掘软件no.2014sr013444

    [7]薛存金.sar极区海表密集度反演软件no.2011sr070937

    [8]薛存金.极区海冰形态分类软件no.2011sr067467

    [9]薛存金.赤潮灾害遥感监测系统no.2010sr058788

    [10]薛存金.全球变化背景下海洋敏感因子时空分析与应用系统no.2009sr015731

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