Vexcel Corporation, Boulder, CO 80301, USA.
IEEE Trans Image Process. 1998;7(9):1340-53. doi: 10.1109/83.709665.
We present an adaptive finite impulse response (FIR) filtering approach, which is referred to as the Amplitude and Phase EStimation (APES) algorithm, for interferometric synthetic aperture radar (SAR) imaging. We compare the APES algorithm with other FIR filtering approaches including the Capon and fast Fourier transform (FFT) methods. We show via both numerical and experimental examples that the adaptive FIR filtering approaches such as Capon and APES can yield more accurate spectral estimates with much lower sidelobes and narrower spectral peaks than the FFT method. We show that although the APES algorithm yields somewhat wider spectral peaks than the Capon method, the former gives more accurate overall spectral estimates and SAR images than the latter and the FFT method.
我们提出了一种用于干涉合成孔径雷达（SAR）成像的自适应有限脉冲响应（FIR）滤波方法，称为幅度和相位估计（APES）算法。我们将 APES 算法与其他 FIR 滤波方法（包括 Capon 和快速傅里叶变换（FFT）方法）进行了比较。通过数值和实验示例，我们表明自适应 FIR 滤波方法（如 Capon 和 APES）可以产生具有更低旁瓣和更窄频谱峰值的更准确的谱估计，而 FFT 方法则不然。我们表明，尽管 APES 算法产生的频谱峰值比 Capon 方法稍宽，但前者比后者和 FFT 方法给出了更准确的总体频谱估计和 SAR 图像。
