An improved particle filter algorithm based on ensemble Kalman filter and Markov chain Monte Carlo method

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 2, 2015, Pages 447-459

  Bi, Haiyun ^a   Ma, Jianwen ^a   Wang, Fangjian ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Data assimilation (DA); ensemble Kalman filter (EnKF); Markov Chain Monte Carlo (MCMC); particle filter (PF)

Indexed keywords

ALGORITHMS; CHAINS; KALMAN FILTERS; MARKOV PROCESSES; RISK ASSESSMENT; SOIL MOISTURE;

ADVANCED MICROWAVE SCANNING RADIOMETER; BRIGHTNESS TEMPERATURES; DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; IMPROVED PARTICLE FILTER; MARKOV CHAIN MONTE CARLO; MARKOV CHAIN MONTE CARLO METHOD; PARTICLE FILTER;

MONTE CARLO METHODS;

AMSR-E; BRIGHTNESS TEMPERATURE; DATA ASSIMILATION; ENSEMBLE FORECASTING; KALMAN FILTER; MARKOV CHAIN; MONTE CARLO ANALYSIS; SOIL MOISTURE;

CHINA; NAGCHU; QINGHAI-XIZANG PLATEAU; XIZANG;

EID: 85028152775     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2014.2322096     Document Type: Article

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