Texture fusion and feature selection applied to SAR imagery

Author

Solberg, Anne H Schistad ; Jain, Anil K.

Author_Institution

Norwegian Comput. Center, Oslo, Norway

Volume

35

Issue

2

fYear

1997

fDate

3/1/1997 12:00:00 AM

Firstpage

475

Lastpage

479

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;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.563288

Filename

563288