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Texture statistics for classification of land use with multitemporal JERS-1 SAR single-look imagery

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4 Author(s)
Kurosu, T. ; Commun. Res. Lab., Minist. of Posts & Telecommun., Tokyo, Japan ; Uratsuka, S. ; Maeno, H. ; Kozu, T.

Texture statistics are studied using multitemporal JERS-1 synthetic aperture radar (SAR) single-look imagery. A correct autocorrelation function of texture is derived and utilized to calculate textural features. It is demonstrated that a significant improvement in the classification accuracy results if the textural features are used as additional inputs to the classifier

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:37 ,  Issue: 1 )