利用频谱合成实现分布式SAR高分辨力成像

该文主要研究了利用频谱合成实现分布式SAR高分辨力成像的方法。在分布式SAR系统中，不同卫星对同一地域观测时，其距离向频谱及方位向频谱均具有一定的相对频谱偏移。利用该频谱偏移进行频谱合成形成较宽的距离向频谱及方位向频谱，从而提高系统的距离向分辨力及方位向分辨力。在频谱合成过程中可首先利用INSAR技术估计出多幅图像的相位差，再利用该相位差进行相位校正、图像合成即可形成具有较高分辨率的图像。该文对这一方法进行了理论分析，并给出了仿真结果。

Distributed Satellites SAR High Resolution Imaging via Spectral Synthesis

In this paper, a distributed satellites SAR high resolution imaging method based on spectral synthesis is introduced. In distributed satellites SAR system, the scattering spectrums relative to the same scene acquired by different satellites have spectrum shifts in both range and azimuth directions, when join these shifted spectrums to a wider range and azimuth spectrum, a higher range and azimuth resolution can be acquired. In the processing, InSAR technique can be used to estimate the phase difference of the images. And after phase correction procedure, image combination procedure has been done, a higher resolution image both in range and azimuth direction would be generated. In this paper a theoretical analysis of this method is given, and the simulation results are also provided.