Title :
Texture fusion and feature selection applied to SAR imagery
Author :
Solberg, Anne H Schistad ; Jain, Anil K.
Author_Institution :
Norwegian Comput. Center, Oslo, Norway
fDate :
3/1/1997 12:00:00 AM
Abstract :
The discrimination ability of four different methods for texture computation in ERS SAR imagery is examined and compared. Feature selection methodology and discriminant analysis are applied to find the optimal combination of texture features. By combining features derived from different texture models, the classification accuracy increased significantly
Keywords :
feature extraction; geophysical signal processing; geophysical techniques; image classification; image texture; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; ERS; SAR imagery; classification accuracy; discriminant analysis; feature extraction; feature selection; geophysical measurement technique; image classification; image texture; land surface; optimal combination; radar imaging; radar remote sensing; spaceborne radar; synthetic aperture radar; terrain mapping; texture computation; texture fusion; Backscatter; Computer science; Councils; Fractals; Frequency estimation; Image texture; Image texture analysis; Pixel; Statistics; Synthetic aperture radar;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
