Application of ensemble kalman filter to geophysical parameters retrieval in remote sensing: A case study of kernel-driven BRDF model inversion

Science in China, Series D: Earth Sciences

Volumn 49, Issue 6, 2006, Pages 632-640

  Qin, Jun ^a   Yan, Guangjian ^a   Liu, Shaomin ^a   Liang, Shunlin ^b   Zhang, Hao ^a   Wang, Jindi ^a   Li, Xiaowen ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

A priori knowledge; Albedo; BRDF; Ensemble kalman filter; Kernel driven model; Posterior distribution; Remote sensing inversion

Indexed keywords

ALGORITHMS; GLOBAL OPTIMIZATION; KALMAN FILTERING; MATHEMATICAL MODELS; REMOTE SENSING;

A POSTERIORI KNOWLEDGE; ENSEMBLE KALMAN FILTER (ENKF); KERNEL-DRIVEN MODEL; OPTIMIZATION ALGORITHMS; POSTERIOR DISTRIBUTION; REMOTE SENSING INVERSION;

GEOPHYSICS;

ALGORITHM; GEOPHYSICAL METHOD; INVERSE PROBLEM; KALMAN FILTER; MODIS; OPTIMIZATION; REMOTE SENSING;

EID: 33750582107     PISSN: 10069313     EISSN: 18622801     Source Type: Journal    
DOI: 10.1007/s11430-006-0632-x     Document Type: Article

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