SPECKLE SUPPRESSION AND ANALYSIS FOR SYNTHETIC APERTURE RADAR IMAGES
SPECKLE SUPPRESSION AND ANALYSIS FOR SYNTHETIC APERTURE RADAR IMAGES
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DOI：
10.1117/12.7973877
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发表时间：
1986-05-01
影响因子：
1.3
通讯作者：
LEE, JS
中科院分区：
文献类型：
--
作者：
LEE, JS
合成孔径雷达（SAR）图像中的散斑是由目标散射体对雷达回波的相干干扰产生的。基本上，散斑噪声具有乘性噪声的性质。本文提出了统计噪声模型的定义和验证方法，并提出了两种乘法噪声平滑算法。这两种算法计算效率高，具有实现实时或近实时处理的潜力。几个SEASAT SAR和SIR-B（航天飞机成像雷达）图像用于说明。
Speckle appearing in synthetic aperture radar (SAR) images is generated by coherent interference of radar echoes from target scatters. Basically, speckle noise has the nature of a multiplicative noise. In this paper procedures for defining and verifying a statistical noise model are developed, and two multiplicative noise-smoothing algorithms are pre-sented. These two algorithms are computationally efficient and have the potential of achieving real-time or near-real-time processing. Several SEASAT SAR and SIR-B (Shuttle Imaging Radar) images are used for illustration.