Texture fusion and feature selection applied to SAR imagery
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- IEEE Trans. Geoscience and Remote Sensing
دوره 35 شماره
صفحات -
تاریخ انتشار 1997