• 姓名: 阿里木·赛买提
  • 性别: 男
  • 职称: 副研究员
  • 职务: 
  • 学历: 博士
  • 电话: 09917827371
  • 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:

  • 198410月生,中共党员,博士,副研究员,硕士生导师;20159月参加工作,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),IEEE地球科学与遥感学会会员,IEEE地球科学与遥感学会数据融合委员会成员,国际华人地理信息协会会员,中国地理学会会员;在国内学术刊物上发表论文60多篇,其中SCI检索52篇;担任26个国际、国内学术期刊审稿人。

    社会任职:

    研究方向:

  • 遥感图像处理及应用,干旱区资源环境遥感,城市遥感,机器学习算法研究及应用

    承担科研项目情况:

  • 1)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,执行期间:2021-2024; 经费56万元。

    2)中国科学院青年创新促进会会项目,执行期间:2018-2021; 经费80万元。

    3)国家自然科学基金青年基金项目:干旱区盐渍土全极化SAR极化散射机理与信息识别;执行期间:2017-2019; 经费23万元

    4)中国科学院西部之光项目:伊犁河三角洲地区典型农作物极化散机理分析与生物参数多源遥感协同反演,执行期间:2017-2019;经费40万元

    5)新疆维吾尔自治区高层次人才引进工程项目:亚洲中部干旱区关键陆面参数多源-多尺度遥感协同反演与关联模式挖掘;执行期间:2016-2019; 经费40万元。

    代表论著:

  • (1)     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, 2020, 99(1): 1-5,

    (2)     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, 2020, 12(12),

    (3)     Samat, A., Li, E., Liu, S., Miao, Z., & Wang, W. (2020). Ensemble of ERDTs for Spectral–Spatial Classification of Hyperspectral Images Using MRS Object-Guided Morphological Profiles. Journal of Imaging, 6(11), 114.

    (4)     Samat, A.*, Yokoya, N., Du, P., Liu, S., Ma, L., Ge, Y., ... & Lin, C. (2019). Direct, ECOC, ND and END Frameworks—Which One Is the Best? An Empirical Study of Sentinel-2A MSIL1C Image Classification for Arid-Land Vegetation Mapping in the Ili River Delta, Kazakhstan. Remote Sensing, 11(16), 1953. SCIE.

    (5)     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,

    (6)     Samat, A.*, Liu, S., Persello, C., Li, E., Miao, Z., & Abuduwaili, J. (2019). Evaluation of ForestPA for VHR RS image classification using spectral and superpixel-guided morphological profiles. European journal of remote sensing, 52(1), 107-121.

    (7)     Samat, A.*, Persello, C., Liu, S., Li, E., Miao, Z., & Abuduwaili, J. (2018). Classification of VHR multispectral images using extratrees and maximally stable extremal region-guided morphological profile. IEEE Journal of selected topics in applied earth observations and remote sensing, 11(9), 3179-3195. 

    (8)     Samat, A.*, Gamba, P., Liu, S., Miao, Z., Li, E., & Abuduwaili, J. (2018). Quad-PolSAR data classification using modified random forest algorithms to map halophytic plants in arid areas. International journal of applied earth observation and geoinformation, 73, 503-521.

    (9)     Samat, A., Gamba, P., Liu, S., Li, E., Miao, Z., & Abuduwaili, J. (2018). Fuzzy multiclass active learning for hyperspectral image classification. IET Image Processing, 12(7), 1095-1101.

    (10) Samat, A., Persello, C., Gamba, P., Liu, S., Abuduwaili, J., & Li, E. (2017). Supervised and semi-supervised multi-view canonical correlation analysis ensemble for heterogeneous domain adaptation in remote sensing image classification. Remote sensing, 9(4), 337. 

    (11) Samat, A., Gamba, P., Liu, S., Du, P., & Abuduwaili, J. (2016). Jointly informative and manifold structure representative sampling based active learning for remote sensing image classification. IEEE Transactions on Geoscience and Remote Sensing, 54(11), 6803-6817.

    (12) Samat, A., Gamba, P., Abuduwaili, J., Liu, S., & Miao, Z. (2016). Geodesic flow kernel support vector machine for hyperspectral image classification by unsupervised subspace feature transfer. Remote Sensing, 8(3), 234. 

    (13) Samat, A., Li, J., Liu, S., Du, P., Miao, Z., & Luo, J. (2016). Improved hyperspectral image classification by active learning using pre-designed mixed pixels. Pattern Recognition, 51, 43-58. 

    (14) Samat, A., Gamba, P., Du, P., & Luo, J. (2015). Active extreme learning machines for quad-polarimetric SAR imagery classification. International Journal of Applied Earth Observation and Geoinformation, 35, 305-319. 

    (15) Samat, A., Du, P., Liu, S., Li, J., & Cheng, L. (2014). E2LMs: Ensemble Extreme Learning Machines for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(4), 1060-1069.

    (16) Samat, A., Du, P., Baig, M. H. A., Chakravarty, S., & Cheng, L. (2014). Ensemble learning with multiple classifiers and polarimetric features for polarized SAR image classification. Photogrammetric Engineering & Remote Sensing, 80(3), 239-251.

    (17) 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.

    (18) 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. 2020, 99(1): 1-5, SCIE.

    (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) 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.

    专利申请:

    获奖及荣誉:

  • (1) 第九届新疆青年科技奖,排名12019年;

    (2) 中国测绘学会测绘科技进步一等奖,排名2 2019年;

    (3) 江苏省测绘地理信息学会科技进步一等奖,排名52018年;

    (4) 湖南省科学技术进步二等奖,排名72020年。