SAR Image Despeckling Based on Local Gaussian Model and MAP in NSCT Domain

FENG Hong-xiao; HOU Biao; JIAO Li-cheng; BU Xiao-ming; BR

您当前的位置：

首页 >

文章列表页 >

SAR Image Despeckling Based on Local Gaussian Model and MAP in NSCT Domain

更新时间：2025-07-16

- SAR Image Despeckling Based on Local Gaussian Model and MAP in NSCT Domain
- Acta Electronica Sinica Vol. 38, Issue 4, Pages: 811-0816(2010)
- 作者机构：
  
  (西安电子科技大学智能信息处理研究所及智能感知与图像理解教育部重点实验室， ),陕西,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
FENG Hong-xiao, HOU Biao, JIAO Li-cheng, et al. SAR Image Despeckling Based on Local Gaussian Model and MAP in NSCT Domain[J]. Acta Electronica Sinica, 2010, 38(4): 811-0816.
DOI：

FENG Hong-xiao, HOU Biao, JIAO Li-cheng, et al. SAR Image Despeckling Based on Local Gaussian Model and MAP in NSCT Domain[J]. Acta Electronica Sinica, 2010, 38(4): 811-0816. DOI：

摘要

<FONT face=Verdana>对SAR图像应用非对数加性模型，通过研究SAR图像中同质区域在非下采样Contourlet域的分布特性，提出对非下采样Contourlet域中、与同质区域相对应的平稳区域的非对数加性噪声使用高斯分布建模。基于该模型，利用局部滑动窗口和对非对数加性噪声方差的自适应估计，在最大后验准则的基础之上求得真实信号的非下采样Contourlet系数。由于未对图像进行对数变换，本文算法很好地保持了原始图像的辐射特性，相干斑被有效地抑制，均匀区域很少有伪吉布斯效应，同时边缘纹理清晰。无论视觉效果还是客观评价指标本文算法都优于许多现存的抑斑算法。

Abstract

<FONT face=Verdana>Applying nonlogarithmic additive model for SAR image

the distribution characteristic of SAR image isotropic regions are researched in Nonsubsampled Contourlet Transform (NSCT) domain

and then Gaussian Model is proposed to model the nonlogarithmic additive noise of the isotropic region in NSCT domain. Based on this model

we apply local sliding windows and adaptively estimate the variation of the nonlogarithmic additive noise

and then the solution of real NSCT coefficient is determined by using Maximum a Posteriori (MAP). Without applying logarithmic transform for original SAR image

the proposed method holds a good ability of radiometric preservation

the speckle is despeckled well while has less Pseudo-Gibbs phenomenon in uniform regions

edges and textures of despeckled image are also clear. Our algorithm possesses high performance over many traditional algorithms according to vision or objective evaluation.

关键词

Keywords

references

Views

2883

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

SAR Image Despeckling Based on the Estimation of Speckle Variance in Nonsubsampled Contourlet Domain

The Nonsubsampled Contourlet Transform in Multisensor Images Fusion

No-Reference Image Quality Assessment Based on Structure Information and Luminance Statistics

Fusion of Infrared and Visible Images Based on Edge Feature and Adaptive PCNN in NSCT Domain

Related Author

FONT face

Verdana

CHANG Xia

JIAO Li-cheng

LIU Fang

SHA Yu-heng

FONT

JIA Jian

Related Institution

Institute of Intelligent Information Processing,Xidian University

Department of Mathematics,Northwest University

Institute of Intelligent Information ProcessingXidian UniversityXi’anShaanxi 710071China

Department of MathematicsNorthwest UniversityXi’anShaanxi 710069China

Department of Electronic Information Engineering, Zhejiang Sci-Tech University

⁰