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...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on image processing 1998-09, Vol.7 (9), p.1340-1353
Main Authors: Palsetia, M.R., Li, Jian
Format: Article
Language:English
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.709665