By Topic

Texture fusion and feature selection applied to SAR imagery

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Solberg, A.H.S. ; Norwegian Comput. Center, Oslo, Norway ; Jain, A.K.

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

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:35 ,  Issue: 2 )