• 姓名: 阿里木·赛买提
  • 性别: 男
  • 职称: 研究员
  • 职务: 
  • 学历: 博士
  • 电话: 0991-7827371
  • 传真: 
  • 电子邮件: alim_smt@ms.xjb.ac.cn
  • 所属部门: 
  • 通讯地址: 新疆乌鲁木齐北京南路818号

    简  历:

  • 1984年10月生,中共党员,博士,硕士研究生导师;新疆地理学会常务理事,新疆自然资源协会理事;入选自治区高层次人才引进工程(2015)、中国科学院青年创新促进会(2018)、自治区“天山英才”计划青年拔尖人才(2022)等人才计划;IEEE 地球科学与遥感协会J-STARS期刊2022年度最佳审稿人,J-STARS、Land、Big Earth Data等期刊专刊客座编辑;在国内学术刊物上发表论文80多篇,其中SCI检索论文70多篇。

    教育经历:

    2012-2015 南京大学地理与海洋科学学院,地图学与地理信息系统专业,理学博士

    2009-2012 中国矿业大学环境与测绘学院,摄影测量与遥感专业,工学硕士

    2005-2009 南京大学地理与海洋科学学院,地理信息科学专业,理学学士

    工作经历: 

    2015.09-2018.11  中国科学院新疆生态与地理研究所  助理研究员

    2018.12-2022.11 中国科学院新疆生态与地理研究所  副研究员

    2022.12-至今     中国科学院新疆生态与地理研究所  研究员

    社会任职:

    研究方向:

  • 遥感图像处理与地学分析,干旱区生态遥感,城市遥感

    承担科研项目情况:

  • (1) 国家自然科学基金面上项目:基于对比学习的亚洲中部干旱区湿地遥感分类, 执行期:2024.1-2027.12,经费:46万元。

    (2) 国家自然科学基金面上项目:样本与特征迁移的中亚典型城市覆被精细分类方法研究,执行期:2021.1-2024.12,经费:55万元。

    (3) 自治区“天山英才”计划青年拔尖人才项目:巴音布鲁克草原甘肃马先蒿种群时空格局、动态与入侵态势预警,执行期:2023.1-2025.12,经费:150万。

    (4) 中国科学院“西部青年学者”项目:面向干旱区植被覆盖遥感分类的弱监督学习方法研究与应用,执行期:2023.1-2026.12,经费:95万。

    (5) 中国科学院海外科教合作中心项目:哈萨克斯坦洪水灾害空间变化模式分析与模拟预测,执行期:2025.1-2027.12,经费:210万。

    代表论著:

  • 1)Samat,A.,Li,E.,Wang,W.,Liu,S.,& Liu,X. (2022). HOLP-DF: HOLP Based Screening Ultrahigh Dimensional Subfeatures in Deep Forest for Remote Sensing Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,15,8287-8298.

    2)Liu,X.,Samat,A.*,Li,E.,Wang,W.,& Abuduwaili,J. (2022). Self-Trained Deep Forest with Limited Samples for Urban Impervious Surface Area Extraction in Arid Area Using Multispectral and PolSAR Imageries. Sensors,22(18),6844.

    3)Wang,W.,Samat,A.*,Abuduwaili,J.*,Wang,C.,De Maeyer,P.,& Van De Voorde,T. (2022). Automatic identification of Sand and dust storm sources based on wind vector and Google Earth Engine. IEEE Geoscience and Remote Sensing Letters.

    4)Wang,W.,Samat,A.*,Abuduwaili,J.*,Ge,Y.,De Maeyer,P.,& Van de Voorde,T. (2022). A novel hybrid sand and dust storm detection method using MODIS data on GEE platform. European Journal of Remote Sensing,55(1),420-428.

    5)Wang,W.,Samat,A.*,Abuduwaili,J.,Ge,Y.,De Maeyer,P.,& Van de Voorde,T. (2022). Temporal characterization of sand and dust storm activity and its climatic and terrestrial drivers in the Aral Sea region. Atmospheric Research,275,106242.

    6)Samat,A.,Gamba,P.,Wang,W.,Luo,J.,Li,E.,Liu,S.,...& Abuduwaili,J. (2022). Mapping Blue and Red Color-Coated Steel Sheet Roof Buildings over China Using Sentinel-2A/B MSIL2A Images. Remote Sensing,14(1),230.

    7)Xu,T.,Li,E.,Samat,A.,Li,Z.,Liu,W.,& Zhang,L. (2022). Estimating Large-Scale Interannual Dynamic Impervious Surface Percentages Based on Regional Divisions. Remote Sensing,14(15),3786.

    8)Li,Z.,Li,E.,Samat,A.,Xu,T.,Liu,W.,& Zhu,Y. (2022). An Object-Oriented CNN Model Based on Improved Superpixel Segmentation for High-Resolution Remote Sensing Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,15,4782 - 4796.

    9)Liu,S.,Zheng,Y.,Du,Q.,Bruzzone,L.,Samat,A.,Tong,X.,...& Wang,C. (2022). A Shallow-to-Deep Feature Fusion Network for VHR Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing.

    10)Samat,A.,Li,E.,Du,P.,Liu,S.,& Miao,Z. (2021). Improving Deep Forest via Patch-Based Pooling,Morphological Profiling,and Pseudo Labeling for Remote Sensing Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,14,9334-9349.

    11)Samat,A.,Li,E.,Du,P.,Liu,S.,& Xia,J. (2021). GPU-accelerated catboost-forest for hyperspectral image classification via parallelized mRMR ensemble subspace feature selection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,14,3200-3214.

    12)Li,E.,Samat,A.,Zhang,C.,Du,P.,& Liu,W. (2021). First and second-order information fusion networks for remote sensing scene classification. IEEE Geoscience and Remote Sensing Letters,19,1-5.

    13)Li,E.,Samat,A.,Du,P.,Liu,W.,& Hu,J. (2020). Improved bilinear CNN model for remote sensing scene classification. IEEE Geoscience and Remote Sensing Letters.

    14)Liu,S.,Zheng,Y.,Du,Q.,Samat,A.,Tong,X.,& Dalponte,M. (2020). A novel feature fusion approach for VHR remote sensing image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,14,464-473.

    15)Wang,W.,Samat,A.,Abuduwaili,J.,& Ge,Y. (2021). Quantifying the influences of land surface parameters on LST variations based on GeoDetector model in Syr Darya Basin,Central Asia. Journal of Arid Environments,186,104415.

    16)Samat,A.,Li,E.,Du,P.,Liu,S.,Miao,Z.,& Zhang,W. (2020). CatBoost for RS image classification with pseudo label support from neighbor patches-based clustering. IEEE Geoscience and Remote Sensing Letters.

    17)Wang,W.,Samat,A.,Ge,Y.,Ma,L.,Tuheti,A.,Zou,S.,& Abuduwaili,J. (2020). Quantitative soil wind erosion potential mapping for Central Asia using the Google Earth Engine platform. Remote Sensing,12(20),3430.

    18)Samat,A.,Li,E.,Wang,W.,Liu,S.,Lin,C.,& Abuduwaili,J. (2020). Meta-XGBoost for hyperspectral image classification using extended MSER-guided morphological profiles. Remote Sensing,12(12),1973.

    19)Wang,W.,Samat,A.,Abuduwaili,J.,& Ge,Y. (2020). Spatio-temporal variations of satellite-based pm2. 5 concentrations and its determinants in Xinjiang,Northwest of China. International Journal of Environmental Research and Public Health,17(6),2157.

    20)Samat,A.,Li,J.,Lin,C.,Liu,S.,& Li,E. (2019). Edge gradient-based active learning for hyperspectral image classification. IEEE Geoscience and Remote Sensing Letters,17(9),1588-1592.

    专利申请:

    获奖及荣誉:

  • (一)第九届新疆青年科技奖,序1,2019年;

    (二)中国测绘学会测绘科技进步一等奖,序2, 2019年;

    (三)江苏省测绘地理信息学会科技进步一等奖,序5,2018年;

    (四)湖南省科学技术进步二等奖,序7,2020年;

     (五) 教育部高等学校科学研究优秀成果奖(科学技术)二等奖,序4,2023年。