Speckle reduction and segmentation of Synthetic Aperture Radar images
- 1 July 1996
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 17 (11) , 2043-2057
- https://doi.org/10.1080/01431169608948758
Abstract
Two simple modifications to the established sigma filter are proposed, and demonstrated to improve both its efficiency at smoothing speckle noise and its ability to preserve fine features. A fully automatic, unsupervised segmentation algorithm, based on the iterative application of the new filter, is described and successfully applied to ERS-1 Synthetic Aperture Radar (SAR) images of sea ice. The simplicity of this segmentation approach, together with its ability to segment classes separated by a gradual change in grey level intensity, may offer significant advantages over techniques based on edge-detection and region growing.Keywords
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