合成孔径雷达图像散斑降噪的定量方法

R. V. Geetha, S. Kalaivani
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引用次数: 1

摘要

在过去的三、四十年中,sar合成孔径雷达成像以其全天候工作能力和全天候数据采集能力成为光学卫星成像的重要应用领域;这种成像技术的主要问题是存在被称为“斑点”的粒状噪声,这将影响图像的整体质量,因此高度要求使用有效的斑点减少技术来抑制斑点。各种滤波技术可用于降低散斑噪声和提高图像质量。本文的主要目的是在充分的数学参数分析的基础上,提出一种定量的SAR图像去斑点算法。
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Quantitative approach of speckle noise reduction on synthetic Aperture radar images
Over the past three to four decades the SAR-synthetic Aperture Radar imagery has become a beneficial and important application over the optical Satellite imagery, Because of its ability to operate in all-weather condition and capability of all time data acquisition; The main issue in this imaging technique is presence of grainy noise termed as `speckle', Which will affect the overall quality of image, hence it is highly required to use effective speckle reduction techniques to suppress speckle. Various filtering techniques are available to reduce the speckle noise and to enhance the quality of the image. The main objective of this paper is to present a quantitative approach of de-specking algorithm on SAR images with adequate mathematical parametric analysis.
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