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曾超--Reconstructing MODIS LST Based on Multitemporal Classification and Robust Regression

发布日期:2015-04-29 15:39:35 阅读次数:[3018]次 作者:

核心提示:来源出版物: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

作者: Zeng, C (Zeng, Chao); Shen, HF (Shen, Huanfeng); Zhong, ML (Zhong, Mingliang); Zhang, LP (Zhang, Liangpei); Wu, PH (Wu, Penghai)
 卷: 12  期: 3  页: 512-516  DOI: 10.1109/LGRS.2014.2348651  出版年: MAR 2015  
摘要: The Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) product can offer accurate LST with high temporal and spatial resolution, but the quality is often degraded by cloud. To improve the usability of the MODIS LST, this letter proposes a reconstruction method based on multitemporal data. First, a multitemporal classification is employed to distinguish the different land surface types. The invalid LST values can then be predicted using a robust regression with the multitemporal information from the other LSTs. Finally, postprocessing is proposed to eliminate outliers. Simulated and actual experiments show that the method can accurately reconstruct the missing values.
地址: [Zeng, Chao; Zhang, Liangpei] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
[Shen, Huanfeng; Zhong, Mingliang] Wuhan Univ, Sch Resource & Environm Sci, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.
[Wu, Penghai] Anhui Univ, Sch Resources & Environm Engn, Hefei 230601, Peoples R China.
通讯作者地址: Zeng, C (通讯作者),Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
电子邮件地址: zengchaozc@hotmail.com; shenhf@whu.edu.cn; zml890414@163.com; zlp62@public.wh.hb.cn; dbqwph2007@gmail.com

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