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Journal ArticleDOI

A SAR correlation algorithm which accommodates large-range migration

TLDR
Simulation results provided here indicate that this processing algorithm yields a satisfactory compressed impulse response for SAR data with large-range migration whereas previous methods were subject to a broadening of the impulse response along range.
Abstract
This paper presents an algorithm for azimuth correlation of synthetic aperture radar (SAR) data with extraordinarily large-range migration which cannot be accommodated by the existing frequency domain interpolation approach used in current Seasat SAR processing. We first provide a mathematical model for the SAR range-correlated point-target response both in the spatial and frequency domains. A simple and efficient processing algorithm derived from the exact two-dimensional correlation algorithm is given. This algorithm enables azimuth correlation by two cascaded one-dimensional correlation steps. The first step is to transform the range-correlated SAR data into the frequency domain in azimuth, followed by a newly developed range convolution filter to correct the range-dispersed spectrum of the range-correlated point-target response (RCPTR). The second step is the frequency-domain range migration correction approach for the azimuth compression. Simulation results provided here indicate that this processing algorithm yields a satisfactory compressed impulse response for SAR data with large-range migration whereas previous methods were subject to a broadening of the impulse response along range.

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Journal ArticleDOI

A tutorial on synthetic aperture radar

TL;DR: This paper provides first a tutorial about the SAR principles and theory, followed by an overview of established techniques like polarimetry, interferometry and differential interferometric as well as of emerging techniques (e.g., polarimetric SARinterferometry, tomography and holographic tomography).
Journal ArticleDOI

Synthetic aperture radar interferometry

TL;DR: In this article, a review of the technology and signal theoretical aspects of InSAR is presented, where the phase differences of at least two complex-valued SAR images acquired from different orbit positions and/or at different times are exploited to measure several geophysical quantities, such as topography, deformations, glacier flows, ocean currents, vegetation properties, etc.
Journal ArticleDOI

Precision SAR processing using chirp scaling

TL;DR: Based on quantitative comparison, the chirp scaling algorithm provides image quality equal to or better than the precision range/Doppler processor, as defined by the system bandwidth.
Journal ArticleDOI

A comparison of range-Doppler and wavenumber domain SAR focusing algorithms

TL;DR: Different algorithms are compared with each other in terms of their focusing quality and their ability to handle the space-variance of the correlation kernel: the range- doppler approach with and without secondary range compression, modified range-Doppler algorithms, and four versions of the wavenumber domain processor.
Journal ArticleDOI

Extended chirp scaling algorithm for air- and spaceborne SAR data processing in stripmap and ScanSAR imaging modes

TL;DR: In this article, a generalized formulation of the extended chirp scaling (ECS) approach for high precision processing of air- and spaceborne SAR data is presented, which allows an effective phase-preserving processing of ScanSAR data without interpolation for azimuth geometric correction.
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