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...
Main Author: | |
---|---|
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 |