Land Cover Classification Accuracy from Electro-Optical, X, C, and L-Band Synthetic Aperture Radar Data Fusion
Date
2016
Authors
Hammann, Mark Gregory
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Abstract
The fusion of electro-optical (EO) multi-spectral satellite imagery with Synthetic Aperture Radar (SAR) data was explored with the working hypothesis that the addition of multi-band SAR will increase the land-cover (LC) classification accuracy compared to EO alone. Three satellite sources for SAR imagery were used: X-band from TerraSAR-X, C-band from RADARSAT-2, and L-band from PALSAR. Images from the RapidEye satellites were the source of the EO imagery. Imagery from the GeoEye-1 and WorldView-2 satellites aided the selection of ground truth.
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Keywords
Remote sensing, Geographic information science and geodesy, Geography, Data Fusion, Land Cover Classification, Remote Sensing, SAR, Satellite Imagery, Synthetic Aperture RADAR