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姓 名:
 阿里木·赛买提
性 别:
 男
职 称:
 助理研究员
学 历:
 博士
电 话:
 09917827371
传 真:
 
电子邮件:
 alim_smt@ms.xjb.ac.cn
个人主页:
 
通讯地址:
 新疆乌鲁木齐北京南路818号 830011

简历:

阿里木·赛买提,,维吾尔,1984年10月出生于新疆库车县。中国科学院新疆生态与地理研究所助理研究员,2017年入选中国科学院青年创新促进会。

学历教育:南京大学地图学与地理信息系统专业理学博士(2012-2015)、中国矿业大学摄影测量与遥感专业工学硕士(2009-2012)、南京大学地理信息系统专业理学学士(2005-2009)。

工作经历: 2015-至今:中国科学院新疆生态与地理研究所助理研究员。

研究方向:资源环境遥感,遥感图像处理与模式识别,机器学习。

承担项目情况:

1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。

2)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

3)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

4)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28万元。

代表论著:

 

1) 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.

2) Du, P., Samat, A., Waske, B., Liu, S., & Li, Z. (2015). Random forest and rotation forest for fully polarized SAR image classification using polarimetric and spatial features. ISPRS Journal of Photogrammetry and Remote Sensing105, 38-53.

3) 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 Recognition51, 43-58.

4) 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.

5) Du, P., Samat, A., Gamba, P., & Xie, X. (2014). Polarimetric SAR image classification by Boosted Multiple-Kernel Extreme Learning Machines with polarimetric and spatial features. International journal of remote sensing35(23), 7978-7990.

6) 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 Geoinformation35, 305-319.

7) 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 Sensing8(3), 234.

8) 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 Sensing54(11), 6803-6817.

9) 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 Sensing9(4), 337.

10) Miao, Z., Shi, W., Samat, A., Lisini, G., & Gamba, P. (2016). Information fusion for urban road extraction from VHR optical satellite images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing9(5), 1817-1829.

11) Li, E., Du, P., Samat, A., Xia, J., & Che, M. (2015). An automatic approach for urban land-cover classification from Landsat-8 OLI data. International Journal of Remote Sensing36(24), 5983-6007.

12) Li, E., Xia, J., Du, P., Lin, C., & Samat, A. (2017). Integrating Multilayer Features of Convolutional Neural Networks for Remote Sensing Scene Classification. IEEE Transactions on Geoscience and Remote Sensing55(10), 5653-5665.

13) Li, E., Du, P., Samat, A., Meng, Y., & Che, M. (2017). Mid-level feature representation via sparse autoencoder for remotely sensed scene classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing10(3), 1068-1081.

14) Luo, J., Du, P., Samat, A., Xia, J., Che, M., & Xue, Z. (2017). Spatiotemporal Pattern of PM2. 5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression. Scientific reports7, 40607.

15) Liu, S., Du, Q., Tong, X., Samat, A., Pan, H., & Ma, X. (2017). Band Selection-Based Dimensionality Reduction for Change Detection in Multi-Temporal Hyperspectral Images. Remote Sensing9(10), 1008.

16) Liu, S., Du, Q., Tong, X., Samat, A., Bruzzone, L., & Bovolo, F. (2017). Multiscale Morphological Compressed Change Vector Analysis for Unsupervised Multiple Change Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing10(9), 4124-4137.

17) Liu, S., Chi, M., Zou, Y., Samat, A., Benediktsson, J. A., & Plaza, A. (2017). Oil Spill Detection via Multitemporal Optical Remote Sensing Images: A Change Detection Perspective. IEEE Geoscience and Remote Sensing Letters14(3), 324-328.

18) Xie, X., Tian, S., Du, P., Zhan, W., Samat, A., & Chen, J. (2016). Quantitative Estimation of Carbonate Rock Fraction in Karst Regions Using Field Spectra in 2.0–2.5 μm. Remote Sensing8(1), 68.

19) Alifujiang, Y., Abuduwaili, J., Ma, L., Samat, A., & Groll, M. (2017). System Dynamics Modeling of Water Level Variations of Lake Issyk-Kul, Kyrgyzstan. Water9(12), 989.

20)Shen, H., Abuduwaili, J., Samat, A., & Ma, L. (2016). A review on the research of modern aeolian dust in Central Asia. Arabian Journal of Geosciences9(13), 625.

 


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