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Modified Non Linear Diffusion Approach for Multiplicative Noise

机译:用于乘法噪声的改进的非线性扩散方法

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摘要

Synthetic Aperture Radar (SAR) is a useful coherent imaging tool for extracting information from various fields such as astronomy and meteorology. SAR images are often corrupted by granular noise known as speckle which follows a multiplicative model. Speckle reflection in homogenous as well as heterogeneous areas obscures the contrast between the target-of-interest and its surroundings. This paper proposes a modified Non Linear Diffusion Approach for despeckling SAR images. The essence is to develop an approach that can suppress speckle and preserve the structural content as an improvement over conventional anisotropic diffusion filtering.
机译:合成孔径雷达(SAR)是一种有用的相干成像工具,用于从各种领域提取信息,例如天文学和气象。 SAR图像通常由称为散斑的粒度噪声损坏,这遵循乘法模型。 在均匀的斑点反射以及异构区域掩盖了兴趣目标与周围环境之间的对比。 本文提出了一种用于检测SAR图像的改进的非线性扩散方法。 本质是开发一种方法,可以抑制散斑并保留结构内容作为对传统各向异性扩散滤波的改进。

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