摘要
研究合成孔径雷达(Synthetic Aperture Radar,SAR)图像的相干斑抑制和特征增强问题.传统的SAR图像相干斑抑制方法通常会导致边缘和目标的模糊,针对该问题,本文基于SAR图像的先验信息和处理理念,通过合理构造扩散系数和正则化参数,提出了一种新的更适合SAR图像相干斑抑制和特征增强的自适应正则化变分方法.理论分析和实验结果表明,该方法不仅能有效地抑制相干斑,而且还能有效保护并增强图像的目标和边缘特征.
The problem of speckle removal and feature enhancement of SAR image was studied. Traditional speckle removal methods generally result in the lost of image features. Based on the idea of SAR image processing and the prior knowledge of SAR image, we presented an adaptive regularization variation method by constructing diffusion coefficient and regularization parameter. Theoretical analysis and numerical results demonstrate that the proposed method can efficiently depress the speckle and enhance the feature of SAR image.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2007年第2期112-116,共5页
Journal of Infrared and Millimeter Waves
基金
全国优秀博士论文作者专项基金(200140)
国家自然科学基金(60272013)资助项目
关键词
SAR图像
相干斑抑制
特征增强
正则化变分
SAR image, speckle removal
feature enhancement
regularization variation
