• 姓名(原文) : Samat, Alim
  • 姓名(中文): 阿里木·赛买提
  • 性别 : 男
  • 职称 : 研究员
  • 职务 : 
  • 学历 : 
  • 电话 : 0991-7827371
  • 传真 : 
  • 邮箱 : alim_smt@ms.xjb.ac.cn
  • 任职机构(原文): Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences
  • 任职机构(中文): 中国科学院新疆生态与地理研究所
  • 通讯地址: 乌鲁木齐市北京南路823号
简历
1984年10月生,中共党员,博士,硕士研究生导师;2015年9月参加工作,六届青科协基础科学专业委员会成员、 新疆维吾尔自治区青年科技工作者联谊会会员,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等期刊专刊客座编辑;在国内学术刊物上发表论文70多篇,其中SCI检索论文60多篇。
研究方向

遥感图像智能处理与地学分析,干旱区环境与生态遥感,城市遥感

承担科研项目情况

(1)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。¥¥¥¥¥¥¥¥¥¥(2)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。¥¥¥¥¥¥¥¥¥¥(3)科技部第三次新疆综合科学考察项目子课题:额河下段湿地结构与演变过程调查,执行期:2022.10-2025.12,经费:60万。¥¥¥¥¥¥¥¥¥¥(4)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。¥¥¥¥¥¥¥¥¥¥(5)中国科学院青年创新促进会会项目,执行期间:2018.1-2021.12,经费:80万元。

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.