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Effects of parameter tuning and de-speckle filtering on the accuracy of SAR image classification based on gray-level co-occurrence matrix features

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3 Author(s)
Bruzzone, L. ; Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy ; Serpico, S.B. ; Vernazza, G.

The results of an experimental investigation of the use of textural features computed from the gray-level co-occurrence matrix for synthetic aperture radar (SAR) image classification are reported and discussed. The investigation, carried out on SAR images acquired with the SIR-C/X-SAR sensor in an Italian agricultural area, makes it possible to derive interesting information about the computation modalities and the effectiveness of the above textural features

Published in:

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International  (Volume:2 )

Date of Conference:

3-8 Aug 1997