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Using APES for interferometric SAR imaging

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...

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Published in:IEEE transactions on image processing 1998-09, Vol.7 (9), p.1340-1353
Main Authors: Palsetia, M.R., Li, Jian
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Language:English
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Li, Jian
description 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.
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subjects Adaptive filters
Applied sciences
Exact sciences and technology
Filtering algorithms
Finite impulse response filter
Frequency
Image processing
Information, signal and communications theory
Phase estimation
Radar polarimetry
Radar scattering
Signal processing
Synthetic aperture radar
Synthetic aperture radar interferometry
Telecommunications and information theory
Yield estimation
title Using APES for interferometric SAR imaging
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