摘要
SAR图像空间自适应Gamma MAP滤波去噪后,常残留一些类似脉冲噪声的像素点;为了滤除这些噪声,提高图像质量,采用基于阈值的极值中值滤波;在对SAR图像进行预处理时,将基于阈值的极值中值滤波算法级联到Gamma MAP算法滤波后的SAR图像;测试图像和数据显示,该方法提高了SAR图像质量,保留了SAR图像边缘细节,能很好地检测奇异性目标,易于硬件并行架构实现。
After airborne SAR image spatial adaptive Gamma MAP filter de--noising, some pixels similar to the impulse noise are often left. In order to filter out these noise and improve image quality, the extremum median filtering based on threshold was used. When airborne SAR images are being preprocessed, the extremum median filtering based on threshold is cascaded to the SAR image after the filtering of the Gamma MAP algorithm. Test images and data show, the method enhanced the quality of SAR images, retained the SAR image edge detail, detected well singular goal and was easily achieved through hardware parallel architecture.
出处
《计算机测量与控制》
CSCD
北大核心
2012年第10期2782-2784,共3页
Computer Measurement &Control
基金
航空科学基金资助(20115896022)
作者简介
作者简介:李涛(1986-),男,山东人,硕士研究生,主要从事智能信息处理方向的研究。