副研究员

倪丽

电子邮箱:nili@aircas.ac.cn
办公电话:010-82178177

 

研究领域/方向

高光谱数据处理与应用

 

 

教育背景


2011.09-2015.06 中国科学院大学&中国科学院遥感与数字地球研究所 地图学与地理信息系统专业 博士学位

2003.09-2006.06 武汉大学 摄影测量与遥感专业 硕士学位

1999.09-2003.06 武汉大学 摄影测量与遥感专业 学士学位

 

 

工作经历


2019.01- ,中科院空天信息研究院数字地球重点实验室,副主任

2017. 02- ,中科院空天信息研究院(原遥感地球所),副研究员

2011.01-2017.01 中科院遥感地球所(原对地观测中心),助理研究员

2008.02-2010.12 中科院对地观测中心,研究实习员

2006.06-2008.01 航天量子数码科技(北京)有限公司 技术支持

 

 

承担科研项目情况


2015.01-2017.12 国家自然科学基金青年基金项目“窄幅高光谱图像辅助宽幅多光谱图像地表精细分类研究” 项目负责人

2018.01-2021.12 国家自然科学基金面上基金项目“静止轨道高光谱热红外时谱信息联合的地表温度一体化反演方法研究” 项目负责人

2012.01-2015.06 国家863计划重大项目“星机地综合定量遥感系统与应用示范” 项目骨干

2016.07-2020.12 国家重点研发计划项目“地球资源环境动态监测技术” 项目骨干

 

 

获奖及荣誉

 

 

 

主要论著


1.L. Ni, B. Zhang, L.R. Gao, S.S. Li, Y.F. Wu, Optimising the use of hyperspectral and multispectral data for regional crop classification, Proceedings of the SPIE, Vol.8745, 87451V, 2013, doi:10.1117/12.2015646 (EI)

2.L. Ni*, B. Zhang, Q. Shen, L. R. Gao, X. Sun, S. S. Li and H. Wu, Edge constrained MRF method for classification of hyperspectral imagery, Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) 2014, 6th Workshop on. 24-77 June, Lausanne, Switzerland, 2014.

3.L. Ni, L.R. Gao, S.S. Li, J. Li, B. Zhang, Edge-constrained Markov random field classification by integrating hyperspectral image with LiDAR data over urban areas, Journal of Applied Remote Sensing, Vol.8, 085089,1-13, 2014. (SCI)

4.L. Ni*, H. Wu, B. Zhang, W. J. Zhang and L. R. Gao, Improvement of linear spectral emissivity constraint method for temperature and emissivity separation of hyperspectral thermal infrared data, Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) 2015, 7th Workshop on. 2-5 June, Tokyo, Japan, 2015.

5.S.S. Li, L. Ni*, X.P. Jia, L.R. Gao, B. Zhang & M. Peng, Multi-scale superpixel spectral–spatial classification of hyperspectral images, International Journal of Remote Sensing, Vol. 37, No. 20, 4905–4922, 2016. (SCI)

6.Y.Z. Zhang, L. Ni, H. Wu*, and X.G. Jiang, Evaluations of the Wavelet-transformed Temperature and Emissivity Separation Method: Lessons Learned from Simulated and Filed-Measured TIR Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(6): 1839-1847. doi:10.1109/JSTARS, 2018. (SCI)

7.Y.Z. Zhang, L. Ni, H. Wu*, X.G. Jiang and Y. Han, Fast and accurate measurement of spectral emissivity with a portable field infrared spectrometer: ancillary equipment and methods, International Journal of Remote Sensing, doi:10.1080/01431161, 2018. (SCI)

8.W. Li, L. Ni, Z.L. Li, H. Wu*, Downscaling land surface temperature by using random forest regression algorithm. Proceedings of IEEE IGARSS 2018, July 22-27, pp. 2535-2538, 2018. (EI)

9.M.S. Chen, L. Ni, X.G. Jiang, Z.L. Li, H. Wu*, Retrieval of atmospheric and land surface parameters from satellite-based thermal infrared hyperspectral data using an artificial neural network technique, Proceedings of IEEE IGARSS 2018. July 22-27, pp. 2753-2756, 2018. (EI)

10.H. Wu, L. Ni, Z.L. Li*, A fast parametric model of estimating atmospheric parameters for Landsat 8 thermal infrared sensor, Proceedings of IEEE IGARSS 2018, July 22-27, pp. 6187-6190, 2018. (EI)

11.W. Li, L. Ni, Z.L. Li, S.B. Duan, and H. Wu*, Evaluation of Machine Learning Algorithms in Spatial Downscaling of MODIS Land Surface Temperature, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. doi:10.1109/JSTARS, 2019. (SCI)

 

 

招生信息

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指导学生情况

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