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A THRESHOLD-FREE FILTERING ALGORITHM FOR AIRBORNE LIDAR POINT CLOUDS BASED ON EXPECTATION-MAXIMIZATION
Airborne LiDAR Point clouds Filtering Ground points Expectation-maximization Intensity
2018/5/14
Filtering is a key step for most applications of airborne LiDAR point clouds. Although lots of filtering algorithms have been put forward in recent years, most of them suffer from parameters setting o...
Expectation-maximization analysis of spatial time series
Expectation-maximization analysis spatial time series
2009/11/2
Expectation maximization (EM) is used to estimate the parameters of a Gaussian Mixture Model for spatial time series data. The method is presented as an alternative and complement to Empirical Orthogo...
Novel statistical approach for segmentation of brain magnetic resonance imaging using an improved expectation maximization algorithm
expectation maximization maximum likelihood magnetic resonance imaging (MRI)
2011/4/28
In this paper, an improved expectation maximization (EM) algorithm called statistical histogram based expectation maximization (SHEM) algorithm is presented. The algorithm is put forward to overcome t...