In this paper, 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.
Effects of parameter tuning and de-speckle filtering on the accuracy of SAR image classification based on gray-level co-occurrence matrix features
Bruzzone, Lorenzo;
1997-01-01
Abstract
In this paper, 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.File in questo prodotto:
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