l Ding, Yaxin, Xiaomei Yang, Hailiang Jin, Zhihua Wang*, Yueming Liu, Bin Liu, Junyao Zhang, Xiaoliang Liu, Ku Gao, and Dan Meng. Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images, Remote Sensing, 2021,13: 3842.
l 王志华, 杨晓梅*, 周成虎. 面向遥感大数据的地学知识图谱构想. 地球信息科学学报, 2021, 23(1): 16-28
2020年
l Lichun Sui , Jun Wang , Xiaomei Yang *, Zhihua Wang，Spatial-temporal Characteristics of coastline changes in Indonesia from 1990 to 2018，Sustainability 2020, 12, 3242;
l Yueming Liu, Chen Lu, Xiaomei Yang*, Zhihua Wang, Bin Liu，Fine-Scale Coastal Storm Surge Disaster Vulnerability and Risk Assessment Model: A Case Study of Laizhou Bay, China，Remote Sens. 2020, 12, 1301;
l Liu Yueming， Wang Zhihua，Yang Xiaomei*, Zhang Yuanzhi, etc., Remote sensing monitoring and statistics for raft and cage aquaculture in China’s offshore waters, JGA, 2020
l Junmei Kang, Zhihua Wang, Lichun Sui, Xiaomei Yang*, Yuanzheng Ma and Jun Wang，Consistency Analysis of Remote Sensing Land Cover Products in the Tropical Rainforest Climate Region: A Case Study of Indonesia，Remote Sens. 2020, 12, 1410;
l Fengshuo Yang, Xiaomei Yang*, Zhihua Wang, Yueming Liu and Bin Liu，Changes and regional differences in urban land areas on both banks of the Strait of Malacca based on remote sensing monitoring，Sustainability 2020, 12, 9714;
l Sui Lichun, Kang Junmei, Yang Xiaomei, Wang Zhihua*, Wang Jun. Inconsistency distribution patterns of different remote sensing land-cover data from the perspective of ecological zoning [J]. Open Geosciences, 2020, 12(1): 324-341
l Li Zhi, Yang Xiaomei*, Fusion of high- and medium-resolution optical remote sensing imagery and GlobeLand30 products for the automated detection of intra5 urban surface water, Remote Sensing, Remote Sens. 2020, 12.
2019年
l Yang F., Yang X*., Wang Z., Lu C., Li Z., Liu Y., Object-based classification of cloudy coastal areas using medium-resolution optical and SAR images for vulnerability assessment of marine disaster. Journal of Oceanology and Limnology 2019, 1-16.
l Liu Y., Yang X.*, Wang Z., Lu C., Li Z., Aquaculture area extraction and vulnerability assessment in Sanduao based on richer convolutional features network model. Journal of Oceanology and Limnology 2019.
l WANG J, SUI L, YANG X, et al. Extracting Coastal Raft Aquaculture Data from Landsat 8 OLI Imagery. Sensors, 2019, 19(5): 1221.
l Kang J M, Sui L C, Yang X M, et al. Spatial pattern consistency among different remote-sensing land cover datasets: a case study in northern Laos[J].ISPRS International Journal of Geo-Information,2019, 8(5), 201.
l Jun Wang , Lichun Sui, Xiaomei Yang , Zhihua Wang ,et al., Economic Globalization Impacts on the Ecological Environment of Inland Developing Countries: A Case Study of Laos from the Perspective of the Land Use/Cover Change, Sustainability 2019, 11, 3940.
l Fengshuo Yang, Zhihua Wang, Xiaomei Yang, et al., Employing existing urban land data and multi-sensor remote sensing images to accurately update urban land products,Remote Sensing, 2019, 11(22):2664.
l Junmei Kang , Lichun Sui, Xiaomei Yang ,et al., Sea Surface-Visible Aquaculture Spatial-Temporal Distribution Remote Sensing: A Case Study in Liaoning Province, China from 2000 to 2018,Sustainability 2019, 11, 7186.
l 刘岳明，杨晓梅，王志华，等．基于深度学习ＲＣＦ模型的三都澳筏式养殖区提取研究．海洋学报，2019,41(4):119-130.
2018年
l Li Zhi, Zhou Chenghu, Yang Xiaomei*, et al.,.Urban landscape extraction and analysis in the mega-city of China's coastal regions using high-resolution satellite imagery: A case of Shanghai, China.International Journal of Applied Earth Observation and Geoinformation.2018,72:140-150.
l Lu Chen, Yang Xiaomei*, Wang Zhihua, Li Zhi. Using multi-level fusion of local features for land-use scene classification with high spatial resolution images in urban coastal zones. International Journal of Applied Earth Observation and Geoinformation.2018,70:1-12.
l Meng Fan, Yang Xiaomei*, Zhou Chenghu, Li Zhi, Liu Bin. Multiscale adaptive reconstruction of missing information for remotely sensed data using sparse representation. Remote Sensing Letters.2018,9(5):457-466.
Wang Zhihua, Yang Xiaomei*, Lu Chen ,Yang Fengshuo. A scale self-adapting segmentation approach and knowledge transfer for automatically updating land use/cover change databases using high spatial resolution images. International Journal of Applied Earth Observation and Geoinformation. 2018,69:88-98.
l Wang Zhihua, Lu Chen, Yang Xiaomei*. Exponentially sampling scale parameters for the efficient segmentation of remote-sensing images. International Journal of Remote Sensing.2018,39:1628-1654.
l Wang Zhihua, Yang Xiaomei*, Liu Yueming, Lu Chen. Extraction of coastal raft cultivation area with heterogeneous water background by thresholding object-based visually salient NDVI from high spatial resolution imagery. Remote Sensing Letters.2018,9(9):839-846.
l Wang Zhihua, Yang Xiaomei*, Lu Chen,Yang Fengshuo, Qi Wenjuan. Detection of noisy rectangular targets in high spatial resolution images. Remote Sensing Letters.2018,9(8):715-723 .
2017年
l Meng Fan, Yang Xiaomei*, Zhou Chenghu, Li Zhi. A Sparse Dictionary Learning-Based Adaptive Patch Inpainting Method for Thick Clouds Removal from High-Spatial Resolution Remote Sensing Imagery.Sensors.2017,17(9):2130.
l Wang Zhihua, Yang Xiaomei*. An edge-suppressed points voting method for extracting rural residential areas from high spatial resolution images. Remote Sensing Letters.2017,8(4):380-388.
招生专业：地图学与地理信息系统
招生方向：遥感大数据智能计算，地表要素精细尺度遥感智能解译
联系方式：
中科院地理科学和资源研究所，资源与环境信息系统国家重点实验室
北京朝阳区大屯路甲11号
电话：010-64888955
Email：yangxm@lreis.ac.cn
更新日期：2022年6月15日
博士，现任中国科学院地理科学与资源研究所研究员，博士生导师，资源与环境信息系统国家重点实验室副主任。就读于解放军测绘学院摄影测量与遥感专业，获学士学位和硕士学位；就读于中国科学院地理研究所，获博士学位。曾受聘于日本宇宙开发事业团（地球观测研究中心EORC），开展陆地卫星相关算法研发；2002年作为海外人才引进入所。中国地理信息系统协会理论与方法专业委员会委员。
研究领域和研究方向
长期从事遥感影像地学理解与分析计算、多特征遥感信息协同智能化提取，以及海洋海岸带遥感与地理信息系统综合集成与应用等方向的研究与系统开发。
近期研究方向包括：复杂自然场景高分辨率遥感智能处理技术；遥感大数据的地学知识表征与知识图谱构建；地表要素精细尺度遥感智能解译等。并直接应用于全球海岸带典型资源要素遥感提取与时空演变分析，服务于东南亚可持续发展评估和海洋动力灾害海岸带风险评估。
主要研究成果
构建了遥感影像认知模型和多源信息协同计算模式为核心的遥感影像地学理解与智能计算的理论与方法体系，在高性能遥感影像智能计算与专题信息提取方面取得较大突破。以复杂变化的地表覆被和海岸带海洋遥感信息系统为主要目标，经过多年的持续研究，极大地提升了相关领域中遥感的实用能力。发表相关学术论文 100 多篇，其中 SCI 收录 60 多篇，授权发明专利 10 多项，合著出版《中国海洋战略边疆》《海岸带遥感综合技术与实例研究》、《遥感影像地学理解与分析》等学术理论专著8部。获国家科技进步二等奖1 项、省部级一等奖 3 项。
主要研究项目
主持完成国家重点研发计划、863计划、中科院战略先导、国家自然基金、国际合作等相关项目近30项；近五年来承担的主要科研项目
[1] 复杂场景遥感认知理论与技术体系（2021YFB3900501），国家重点研发计划课题，2021.12-2025.11。
[2] 马来群岛区域资源开发利用演变数据集成（XDA19060303），中科院战略先导专项A类子课题，2018.1-2022.12。
[3] 重大海洋动力灾害承灾体脆弱性调查与评价（2016YFC1402003），国家重点研发计划课题，2016.9-2021. 6。
[4] 基于遥感地学理解的典型资源环境要素提取技术研究（2016YFB0501404），国家重点研发计划子课题，2016.7-2021.6。
[5] 基于高分影像的城市空间结构场景识别方法研究（41671436），国家自然科学基金面上项目，2017.01-2020.12。
近年主要学术论文
2021年
l Zhang, Junyao, Xiaomei Yang, Zhihua Wang, Tao Zhang*, and Xiaoliang Liu. Remote Sensing Based Spatial-Temporal Monitoring of the Changes in Coastline Mangrove Forests in China over the Last 40 Years, Remote Sensing,2021,13: 1986.
l Ding, Yaxin, Xiaomei Yang, Hailiang Jin, Zhihua Wang*, Yueming Liu, Bin Liu, Junyao Zhang, Xiaoliang Liu, Ku Gao, and Dan Meng. Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images, Remote Sensing, 2021,13: 3842.
l 王志华, 杨晓梅*, 周成虎. 面向遥感大数据的地学知识图谱构想. 地球信息科学学报, 2021, 23(1): 16-28
2020年
l Lichun Sui , Jun Wang , Xiaomei Yang *, Zhihua Wang，Spatial-temporal Characteristics of coastline changes in Indonesia from 1990 to 2018，Sustainability 2020, 12, 3242;
l Yueming Liu, Chen Lu, Xiaomei Yang*, Zhihua Wang, Bin Liu，Fine-Scale Coastal Storm Surge Disaster Vulnerability and Risk Assessment Model: A Case Study of Laizhou Bay, China，Remote Sens. 2020, 12, 1301;
l Liu Yueming， Wang Zhihua，Yang Xiaomei*, Zhang Yuanzhi, etc., Remote sensing monitoring and statistics for raft and cage aquaculture in China’s offshore waters, JGA, 2020
l Junmei Kang, Zhihua Wang, Lichun Sui, Xiaomei Yang*, Yuanzheng Ma and Jun Wang，Consistency Analysis of Remote Sensing Land Cover Products in the Tropical Rainforest Climate Region: A Case Study of Indonesia，Remote Sens. 2020, 12, 1410;
l Fengshuo Yang, Xiaomei Yang*, Zhihua Wang, Yueming Liu and Bin Liu，Changes and regional differences in urban land areas on both banks of the Strait of Malacca based on remote sensing monitoring，Sustainability 2020, 12, 9714;
l Sui Lichun, Kang Junmei, Yang Xiaomei, Wang Zhihua*, Wang Jun. Inconsistency distribution patterns of different remote sensing land-cover data from the perspective of ecological zoning [J]. Open Geosciences, 2020, 12(1): 324-341
l Li Zhi, Yang Xiaomei*, Fusion of high- and medium-resolution optical remote sensing imagery and GlobeLand30 products for the automated detection of intra5 urban surface water, Remote Sensing, Remote Sens. 2020, 12.
2019年
l Yang F., Yang X*., Wang Z., Lu C., Li Z., Liu Y., Object-based classification of cloudy coastal areas using medium-resolution optical and SAR images for vulnerability assessment of marine disaster. Journal of Oceanology and Limnology 2019, 1-16.
l Liu Y., Yang X.*, Wang Z., Lu C., Li Z., Aquaculture area extraction and vulnerability assessment in Sanduao based on richer convolutional features network model. Journal of Oceanology and Limnology 2019.
l WANG J, SUI L, YANG X, et al. Extracting Coastal Raft Aquaculture Data from Landsat 8 OLI Imagery. Sensors, 2019, 19(5): 1221.
l Kang J M, Sui L C, Yang X M, et al. Spatial pattern consistency among different remote-sensing land cover datasets: a case study in northern Laos[J].ISPRS International Journal of Geo-Information,2019, 8(5), 201.
l Jun Wang , Lichun Sui, Xiaomei Yang , Zhihua Wang ,et al., Economic Globalization Impacts on the Ecological Environment of Inland Developing Countries: A Case Study of Laos from the Perspective of the Land Use/Cover Change, Sustainability 2019, 11, 3940.
l Fengshuo Yang, Zhihua Wang, Xiaomei Yang, et al., Employing existing urban land data and multi-sensor remote sensing images to accurately update urban land products,Remote Sensing, 2019, 11(22):2664.
l Junmei Kang , Lichun Sui, Xiaomei Yang ,et al., Sea Surface-Visible Aquaculture Spatial-Temporal Distribution Remote Sensing: A Case Study in Liaoning Province, China from 2000 to 2018,Sustainability 2019, 11, 7186.
l 刘岳明，杨晓梅，王志华，等．基于深度学习ＲＣＦ模型的三都澳筏式养殖区提取研究．海洋学报，2019,41(4):119-130.
2018年
l Li Zhi, Zhou Chenghu, Yang Xiaomei*, et al.,.Urban landscape extraction and analysis in the mega-city of China's coastal regions using high-resolution satellite imagery: A case of Shanghai, China.International Journal of Applied Earth Observation and Geoinformation.2018,72:140-150.
l Lu Chen, Yang Xiaomei*, Wang Zhihua, Li Zhi. Using multi-level fusion of local features for land-use scene classification with high spatial resolution images in urban coastal zones. International Journal of Applied Earth Observation and Geoinformation.2018,70:1-12.
l Meng Fan, Yang Xiaomei*, Zhou Chenghu, Li Zhi, Liu Bin. Multiscale adaptive reconstruction of missing information for remotely sensed data using sparse representation. Remote Sensing Letters.2018,9(5):457-466.
Wang Zhihua, Yang Xiaomei*, Lu Chen ,Yang Fengshuo. A scale self-adapting segmentation approach and knowledge transfer for automatically updating land use/cover change databases using high spatial resolution images. International Journal of Applied Earth Observation and Geoinformation. 2018,69:88-98.
l Wang Zhihua, Lu Chen, Yang Xiaomei*. Exponentially sampling scale parameters for the efficient segmentation of remote-sensing images. International Journal of Remote Sensing.2018,39:1628-1654.
l Wang Zhihua, Yang Xiaomei*, Liu Yueming, Lu Chen. Extraction of coastal raft cultivation area with heterogeneous water background by thresholding object-based visually salient NDVI from high spatial resolution imagery. Remote Sensing Letters.2018,9(9):839-846.
l Wang Zhihua, Yang Xiaomei*, Lu Chen,Yang Fengshuo, Qi Wenjuan. Detection of noisy rectangular targets in high spatial resolution images. Remote Sensing Letters.2018,9(8):715-723 .
2017年
l Meng Fan, Yang Xiaomei*, Zhou Chenghu, Li Zhi. A Sparse Dictionary Learning-Based Adaptive Patch Inpainting Method for Thick Clouds Removal from High-Spatial Resolution Remote Sensing Imagery.Sensors.2017,17(9):2130.
l Wang Zhihua, Yang Xiaomei*. An edge-suppressed points voting method for extracting rural residential areas from high spatial resolution images. Remote Sensing Letters.2017,8(4):380-388.
招生专业：地图学与地理信息系统
招生方向：遥感大数据智能计算，地表要素精细尺度遥感智能解译
联系方式：
中科院地理科学和资源研究所，资源与环境信息系统国家重点实验室
北京朝阳区大屯路甲11号
电话：010-64888955
Email：yangxm@lreis.ac.cn
更新日期：2022年6月15日
在线留言
联系我们
所长信箱