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30 December 1994 Use of morphological filters for SAR data filtering
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Abstract
The identification and classification of targets in synthetic aperture radar images has been difficult due to the presence of multiplicative noise from the coherent energy source. This manifests itself in the image as the familiar `speckle.' A variety of solutions to this problem have been proposed by others, all with different degrees of success. In many cases, users have resorted to the simple and partly effective solution of using a median filter. Mathematical morphology is a technique which is finding some selective uses in the realm of remote sensing image analysis especially outside of France (where it was first introduced by Matheron). We have investigated in the past its applicability to define/detect target `shapes' in satellites images. Our current work evaluates the success of using various morphological filters to reduce/remove speckle-based noise on SAR images. A number of target types on land (forested area) and water (open ocean and ice pack) were tested. They all present specific features that have to be preserved after filtering. In this work, we report on the results as compared to more conventional filtering approaches, evaluated with respect to the criteria of noise reduction and feature preservation.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marie-Catherine Mouchot, Eric Pelet, and Thomas Alfoldi "Use of morphological filters for SAR data filtering", Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); https://doi.org/10.1117/12.196741
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