主要从事多/高光谱、PolSAR遥感图像处理及应用，干旱区绿洲城市遥感，机器学习等研究。

欢迎具有地理信息系统、摄影测量与遥感、遥感科学与技术、计算机科学与技术、地理大数据与空间智能方向等本科专业背景的学生报考。

070503-地图学与地理信息系统
081602-摄影测量与遥感
085700-资源与环境

遙感信息分析与应用
遥感图像处理与模式识别
城市遥感

2015-12--2018-10   中国科学院新疆生态与地理研究所   博士后
2014-03--2014-09   意大利帕维亚大学电子信息工程系   访问博士
2012-09--2015-08   南京大学地理与海洋科学学院   博士研究生
2009-09--2012-07   中国矿业大学环境与测绘学院   硕士研究生
2005-09--2009-07   南京大学地理与海洋科学学院   本科，学士

   

2018-12~现在, 中国科学院新疆生态与地理研究所, 副研究员
2015-09~2018-11,中国科学院新疆生态与地理研究所, 助理研究员

   

（1） 湖南省科学技术进步奖, 二等奖, 省级, 2020
（2） 中国测绘学会2019年测绘科技进步一等奖, 一等奖, 省级, 2019
（3） 第九届新疆青年科技奖, 一等奖, 省级, 2019
（4） 江苏测绘地理信息科技进步一等奖, 一等奖, 省级, 2014

   

[1] Wang, Wei, Samat, Alim, Abuduwaili, Jilili, Ge, Yongxiao. Quantifying the influences of land surface parameters on LST variations based on GeoDetector model in Syr Darya Basin, Central Asia. JOURNAL OF ARID ENVIRONMENTS[J]. 2021, 186: http://dx.doi.org/10.1016/j.jaridenv.2020.104415.
[2] Samat, Alim, Li, Erzhu, Du, Peijun, Liu, Sicong, Xia, Junshi. 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[J]. 2021, 14: 3200-3214, https://doaj.org/article/2cf0c544475a41f3aa477423d0e66957.
[3] Samat, Alim, Li, Erzhu, Liu, Sicong, Miao, Zelang, Wang, Wei. Ensemble of ERDTs for Spectral-Spatial Classification of Hyperspectral Images Using MRS Object-Guided Morphological Profiles. JOURNAL OF IMAGING[J]. 2020, 6(11): https://doaj.org/article/50fee56603814c5dbc7f985f23185371.
[4] 阿里木·赛买提. CatBoost for RS Image Classification With Pseudo Label Support From Neighbor Patches-Based Clustering. IEEE Geoscience and Remote Sensing Letters. 2020, [5] Samat, Alim, Li, Erzhu, Wang, Wei, Liu, Sicong, Lin, Cong, Abuduwaili, Jilili. Meta-XGBoost for Hyperspectral Image Classification Using Extended MSER-Guided Morphological Profiles. REMOTE SENSING[J]. 2020, 12(12): https://doaj.org/article/f64bcf643c3241609ef4fa7885d80734.
[6] Wang, Wei, Samat, Alim, Ge, Yongxiao, Ma, Long, Tuheti, Abula, Zou, Shan, Abuduwaili, Jilili. Quantitative Soil Wind Erosion Potential Mapping for Central Asia Using the Google Earth Engine Platform. REMOTE SENSING[J]. 2020, 12(20): https://doaj.org/article/a83057b4e6a74f24a29caeb11820ea6c.
[7] Wang, Wei, Samat, Alim, Abuduwaili, Jilili, Ge, Yongxiao. 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[J]. 2020, 17(6): https://www.webofscience.com/wos/woscc/full-record/WOS:000529342300347.
[8] Cong Lin, Peijun Du, Alim Samat, Erzhu Li, Xin Wang, Junshi Xia. Automatic Updating of Land Cover Maps in Rapidly Urbanizing Regions by Relational Knowledge Transferring from GlobeLand30. REMOTE SENSING[J]. 2019, 11(12): https://doaj.org/article/da8c447ef5ed4fe1b7e753f72607e217.
[9] Li, Erzhu, Samat, Alim, Liu, Wei, Lin, Cong, Bai, Xuyu. High-Resolution Imagery Classification Based on Different Levels of Information. REMOTE SENSING[J]. 2019, 11(24): http://dx.doi.org/10.3390/rs11242916.
[10] Alim Samat, Naoto Yokoya, Peijun Du, Sicong Liu, Long Ma, Yongxiao Ge, Gulnura Issanova, Abdula Saparov, Jilili Abuduwaili, Cong Lin. 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[J]. 2019, 11(16): http://dx.doi.org/10.3390/rs11161953.
[11] Du, Peijun, Li, Erzhu, Xia, Junshi, Samat, Alim, Bai, Xuyu. Feature and Model Level Fusion of Pretrained CNN for Remote Sensing Scene Classification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2019, 12(8): 2600-2611, http://dx.doi.org/10.1109/JSTARS.2018.2878037.
[12] Samat, Alim, Liu, Sicong, Persello, Claudio, Li, Erzhu, Miao, Zelang, Abuduwaili, Jilili. Evaluation of ForestPA for VHR RS image classification using spectral and superpixel-guided morphological profiles. EUROPEAN JOURNAL OF REMOTE SENSING[J]. 2019, 52(1): 107-121, https://doaj.org/article/7a2df46960884a2c84237531ac37f2f8.
[13] 阿里木·赛买提. Edge Gradient-Based Active Learning for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. IEEE Geoscience and Remote Sensing Letters. 2019, [14] Liu, Sicong, Du, Qian, Tong, Xiaohua, Samat, Alim, Bruzzone, Lorenzo. Unsupervised Change Detection in Multispectral Remote Sensing Images via Spectral-Spatial Band Expansion. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2019, 12(9): 3578-3587, http://dx.doi.org/10.1109/JSTARS.2019.2929514.
[15] Samat, Alim, Gamba, Paolo, Liu, Sicong, Miao, Zelang, Li, Erzhu, Abuduwaili, Jilili. Quad-PolSAR data classification using modified random forest algorithms to map halophytic plants in arid areas. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2018, 73: 503-521, http://dx.doi.org/10.1016/j.jag.2018.06.006.
[16] Samat, Alim, Persello, Claudio, Liu, Sicong, Li, Erzhu, Miao, Zelang, Abuduwaili, Jilili. 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[J]. 2018, 11(9): 3179-3195, http://dx.doi.org/10.1109/JSTARS.2018.2824354.
[17] Samat, Alim, Gamba, Paolo, Liu, Sicong, Li, Erzhu, Miao, Zelang, Abuduwaili, Jilili. Fuzzy multiclass active learning for hyperspectral image classification. IET IMAGE PROCESSING[J]. 2018, 12(7): 1095-1101, https://www.webofscience.com/wos/woscc/full-record/WOS:000435301200004.
[18] Li, Erzhu, Du, Peijun, Samat, Alim, Meng, Yaping, Che, Meiqin. Mid-Level Feature Representation via Sparse Autoencoder for Remotely Sensed Scene Classification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2017, 10(3): 1068-1081, https://www.webofscience.com/wos/woscc/full-record/WOS:000395876100022.
[19] Luo, Jieqiong, Du, Peijun, Samat, Alim, Xia, Junshi, Che, Meiqin, Xue, Zhaohui. Spatiotemporal Pattern of PM2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression. SCIENTIFIC REPORTS[J]. 2017, 7: https://www.webofscience.com/wos/woscc/full-record/WOS:000391665700001.
[20] Samat, Alim, Persello, Claudio, Gamba, Paolo, Liu, Sicong, Abuduwaili, Jilili, Li, Erzhu. Supervised and Semi-Supervised Multi-View Canonical Correlation Analysis Ensemble for Heterogeneous Domain Adaptation in Remote Sensing Image Classification. REMOTESENSING[J]. 2017, 9(4): http://dx.doi.org/10.3390/rs9040337.
[21] Samat, Alim, Li, Jun, Liu, Sicong, Du, Peijun, Miao, Zelang, Luo, Jieqiong. Improved hyperspectral image classification by active learning using pre-designed mixed pixels. PATTERN RECOGNITION[J]. 2016, 51: 43-58, http://dx.doi.org/10.1016/j.patcog.2015.08.019.
[22] Miao, Zelang, Shi, Wenzhong, Samat, Alim, Lisini, Gianni, Gamba, Paolo. Information Fusion for Urban Road Extraction From VHR Optical Satellite Images. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2016, 9(5): 1817-1829, https://www.webofscience.com/wos/woscc/full-record/WOS:000375872200007.
[23] Alim Samat, Paolo Gamba, Jilili Abuduwaili, Sicong Liu, Zelang Miao. Geodesic Flow Kernel Support Vector Machine for Hyperspectral Image Classification by Unsupervised Subspace Feature Transfer. REMOTE SENSING[J]. 2016, 8(3): https://doaj.org/article/a10aa4d8ce2446e6a3926b7fd3756292.
[24] Samat, Alim, Gamba, Paolo, Liu, Sicong, Du, Peijun, Abuduwaili, Jilili. Jointly Informative and Manifold Structure Representative Sampling Based Active Learning for Remote Sensing Image Classification. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2016, 54(11): 6803-6817, https://www.webofscience.com/wos/woscc/full-record/WOS:000385188200042.
[25] Li, Erzhu, Du, Peijun, Samat, Alim, Xia, Junshi, Che, Meiqin. An automatic approach for urban land-cover classification from Landsat-8 OLI data. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2015, 36(24): 5983-6007, http://dx.doi.org/10.1080/01431161.2015.1109726.
[26] Du, Peijun, Samat, Alim, Waske, Bjoern, Liu, Sicong, Li, Zhenhong. Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING[J]. 2015, 105: 38-53, http://dx.doi.org/10.1016/j.isprsjprs.2015.03.002.
[27] Samat, Alim, Gamba, Paolo, Du, Peijun, Luo, Jieqiong. Active extreme learning machines for quad-polarimetric SAR imagery classification. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2015, 35: 305-319, http://dx.doi.org/10.1016/j.jag.2014.09.019.
[28] Du, Peijun, Samat, Alim, Gamba, Paolo, Xie, Xiangjian. Polarimetric SAR image classification by Boosted Multiple-Kernel Extreme Learning Machines with polarimetric and spatial features. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2014, 35(23): 7978-7990, https://www.webofscience.com/wos/woscc/full-record/WOS:000345583500010.
[29] Samat, Alim, Du, Peijun, Baig, Muhammad Hasan Ali, Chakravarty, Sumit, Cheng, Liang. Ensemble Learning with Multiple Classifiers and Polarimetric Features for Polarized SAR Image Classification. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING[J]. 2014, 80(3): 239-251, http://dx.doi.org/10.14358/PERS.80.3.239.
[30] 阿里木·赛买提. E2LMs: Ensemble Extreme Learning Machines for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014, 

   

（ 1 ） 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, 主持, 省级, 2016-01--2019-06
（ 2 ） 干旱区盐渍土全极化SAR极化散射机理与信息识别, 主持, 国家级, 2017-01--2019-12
（ 3 ） 伊犁河三角洲地区典型农作物极化散射机理分析与生物参数多源遥感协同反演, 主持, 部委级, 2017-01--2020-12
（ 4 ） 中国科学院青年创新促进会项目, 主持, 部委级, 2018-01--2021-12
（ 5 ） 咸海退缩产生的盐尘及其影响, 参与, 部委级, 2018-03--2024-02
（ 6 ） 中亚西亚野外观测能力提升机数据库建设, 参与, 部委级, 2018-03--2024-02
（ 7 ） 样本与特征迁移的中亚典型城市覆被精细分类方法研究, 主持, 国家级, 2021-01--2024-12

（1）Modified Random Forests Based Halophytic Plants Mapping Using Quad-PolSAR data: A Case Study in Eibnur Basin   第四届干旱半干旱环境对地观测学术研讨会   2018-09-16

现指导学生

刘希鸣  硕士研究生  085700-资源与环境