Two algorithms processing polarimetric synthetic-aperture-radar data found effective in assigning various parts of SAR images to classes representing different types of terrain. Partially automate interpretation of SAR imagery, reducing amount of photointerpretation needed and putting whole interpretation process on more quantitative and systematic basis. First algorithm implements Bayesian classification scheme "supervised" by use of training data. Second algorithm implements classification procedure unsupervised.
Classification Of Terrain In Polarimetric SAR Images
NASA Tech Briefs ; 17 , 3
01.03.1993
Sonstige
Keine Angabe
Englisch
Terrain Classification in Central Navarre (Spain) Using Polarimetric Radar Images
British Library Conference Proceedings | 2009
|Polarimetric Decomposition Applied to 3D SAR Images of Forested Terrain
Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2010
|Passive polarimetric IR target classification
IEEE | 2001
|