王宇1, 2,
范怀涛1
1.中国科学院空天信息创新研究院 北京 100190
2.中国科学院大学电子电气与通信工程学院 北京 100049
基金项目:国家自然科学基金(61901442)
详细信息
作者简介:蔡永华：男，1996年生，博士生，研究方向为星载SAR图像与信号处理
王宇：男，1980年生，研究员，博士生导师，研究方向为SAR系统设计与信号处理技术，新体制星载SAR技术等
范怀涛：男，1990年生，副研究员，研究方向为高分辨率宽幅星载SAR成像
通讯作者:蔡永华 caiyonghuanwpu@126.com
中图分类号:TN959.74计量
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被引次数:0
出版历程
收稿日期:2020-01-15
修回日期:2020-12-04
网络出版日期:2020-12-15
刊出日期:2021-05-18
A Scalloping Correction Method for ScanSAR Image Based on Improved Kalman Filter Model
Yonghua CAI1, 2,,,Yu WANG1, 2,
Huaitao FAN1
1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
2. School of Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
Funds:The National Natural Science Foundation of China (61901442)
摘要
摘要:星载扫描合成孔径雷达(ScanSAR)采取Burst工作模式，该模式在获得宽幅测绘能力的同时，也导致图像中产生了固有的扇贝效应，严重影响图像的视觉效果和定量应用。该文结合对ScanSAR图像方位向统计特性的分析，针对现有滤波模型稳定性差和时间复杂度高等缺点，提出了一种改进的Kalman滤波模型，对图像方位向标准差和均值进行滤波以校正扇贝条纹。在高分三号(GF-3)卫星获取的真实ScanSAR图像上的校正结果验证了改进算法的有效性和高效性，此外在建筑群和海陆交界等复杂场景图像上的实验结果表明，改进算法具有较强的鲁棒性。
关键词:扫描合成孔径雷达/
扇贝效应/
辐射校正/
Kalman滤波/
高分三号卫星
Abstract:The spaceborne Scanning Synthetic Aperture Radar (ScanSAR) adopts the Burst working mode. While obtaining wide-range mapping capabilities, this mode also causes an inherent scalloping in the image, which seriously affects the visual effects and quantitative applications of the image. Based on the analysis of the azimuth statistical characteristics of ScanSAR images and aimed at the shortcomings of the existing filtering model such as poor stability and high time complexity, an improved Kalman filtering model is proposed, which filters the standard deviation and mean of image in azimuth position to correct scallop stripes. The correction results on the real ScanSAR images acquired by the GF-3 satellite verify the effectiveness and efficiency of the improved algorithm. Furthermore, the experimental results on complex scene images such as buildings and the junction of sea and land indicate that the strong robustness of the improved algorithm.
Key words:Scanning Synthetic Aperture Radar (ScanSAR)/
Scalloping/
Radiometric correction/
Kalman filtering/
GF-3
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