摘要
本文从复图像域出发研究多颗卫星SAR(合成孔径雷达)图像之间的频谱关系,利用InSAR技术实现频谱合成提高距离向分辨率。当分布式小卫星的星间基线超过极限时会产生频谱空缺的情况降低成像质量,因此本文引入谱估计的方法,提出了适用于谱估计方法的分布式小卫星SAR图像频域信号模型,分析并比较了GAPES与最大熵谱估计方法对消除频谱空缺问题的性能。
The frequency relationship among complex images in distributed satellite SAR system is studied , and high range resolution image is achieved through spectral synthesis using lnSAR technology. Because of large baseline, there may be some gaps among the synthesized spectral. In such case, the quality of the image will be reduced. So GAPES and maximum entropy algorithm are intro- duced to resolve this problem, and than the performance of them is analysed.
出处
《微计算机信息》
2009年第7期284-286,共3页
Control & Automation
关键词
分布式小卫星SAR
复图像
距离向高分辨率
频谱合成
谱估计
Distributed small satellite SAR
complex image
high range resolution
spectral synthesis
spectral estimation
