Markov Chain Monte Carlo Sampling on Polar Sea Ice Classification

The Remund-Long (RL) Multi-Sensor Sea Ice Classification algorithm� combines both radiometer and scatterometer data using Principle Component Analysis and reduces the dimensionality and noise level of the data. The algorithm uses an iterative Maximum a Posteriori (MAP) method based on a multi-varian...

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Bibliographic Details
Main Author: Li, Shuyi
Format: Text
Language:unknown
Published: DigitalCommons@USU 2004
Subjects:
Online Access:https://digitalcommons.usu.edu/spacegrant/2004/2004/37
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1228&context=spacegrant