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Title: SAR polar format implementation with MATLAB.

Abstract

Traditional polar format image formation for Synthetic Aperture Radar (SAR) requires a large amount of processing power and memory in order to accomplish in real-time. These requirements can thus eliminate the possible usage of interpreted language environments such as MATLAB. However, with trapezoidal aperture phase history collection and changes to the traditional polar format algorithm, certain optimizations make MATLAB a possible tool for image formation. Thus, this document's purpose is two-fold. The first outlines a change to the existing Polar Format MATLAB implementation utilizing the Chirp Z-Transform that improves performance and memory usage achieving near realtime results for smaller apertures. The second is the addition of two new possible image formation options that perform a more traditional interpolation style image formation. These options allow the continued exploration of possible interpolation methods for image formation and some preliminary results comparing image quality are given.

Authors:
;
Publication Date:
Research Org.:
Sandia National Laboratories
Sponsoring Org.:
USDOE
OSTI Identifier:
877139
Report Number(s):
SAND2005-7413
TRN: US200606%%712
DOE Contract Number:
AC04-94AL85000
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; EXPLORATION; INTERPOLATION; PERFORMANCE; RADAR; IMAGE PROCESSING; Image analysis.; Synthetic Aperture Radar.; Image processing.

Citation Formats

Martin, Grant D., and Doerry, Armin Walter. SAR polar format implementation with MATLAB.. United States: N. p., 2005. Web. doi:10.2172/877139.
Martin, Grant D., & Doerry, Armin Walter. SAR polar format implementation with MATLAB.. United States. doi:10.2172/877139.
Martin, Grant D., and Doerry, Armin Walter. 2005. "SAR polar format implementation with MATLAB.". United States. doi:10.2172/877139. https://www.osti.gov/servlets/purl/877139.
@article{osti_877139,
title = {SAR polar format implementation with MATLAB.},
author = {Martin, Grant D. and Doerry, Armin Walter},
abstractNote = {Traditional polar format image formation for Synthetic Aperture Radar (SAR) requires a large amount of processing power and memory in order to accomplish in real-time. These requirements can thus eliminate the possible usage of interpreted language environments such as MATLAB. However, with trapezoidal aperture phase history collection and changes to the traditional polar format algorithm, certain optimizations make MATLAB a possible tool for image formation. Thus, this document's purpose is two-fold. The first outlines a change to the existing Polar Format MATLAB implementation utilizing the Chirp Z-Transform that improves performance and memory usage achieving near realtime results for smaller apertures. The second is the addition of two new possible image formation options that perform a more traditional interpolation style image formation. These options allow the continued exploration of possible interpolation methods for image formation and some preliminary results comparing image quality are given.},
doi = {10.2172/877139},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2005,
month =
}

Technical Report:

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  • We present a MATLAB toolbox on multiresolution analysis based on the W-transform introduced by Kwong and Tang. The toolbox contains basic commands to perform forward and inverse transforms on finite 1D and 2D signals of arbitrary length, to perform multiresolution analysis of given signals to a specified number of levels, to visualize the wavelet decomposition, and to do compression. Examples of numerical experiments are also discussed.
  • SAR phase history data represents a polar array in the Fourier space of a scene being imaged. Polar Format processing is about reformatting the collected SAR data to a Cartesian data location array for efficient processing and image formation. In a real-time system, this reformatting or ''re-gridding'' operation is the most processing intensive, consuming the majority of the processing time; it also is a source of error in the final image. Therefore, any effort to reduce processing time while not degrading image quality is valued. What is proposed in this document is a new way of implementing real-time polar-format processingmore » through a variation on the traditional interpolation/2-D Fast Fourier Transform (FFT) algorithm. The proposed change is based upon the frequency scaling property of the Fourier Transform, which allows a post azimuth FFT interpolation. A post azimuth processing interpolation provides overall benefits to image quality and potentially more efficient implementation of the polar format image formation process.« less
  • Limitations on focused scene size for the Polar Format Algorithm (PFA) for Synthetic Aperture Radar (SAR) image formation are derived. A post processing filtering technique for compensating the spatially variant blurring in the image is examined. Modifications to this technique to enhance its robustness are proposed.
  • The purpose of this report is to provide a background to Synthetic Aperture Radar (SAR) image formation using the Polar Format (PFA) processing algorithm. This is meant to be an aid to those tasked to implement real-time image formation using the Polar Format processing algorithm.