Spatially Interpolated Nonlinear Anodization in Synthetic Aperture Radar Imagery
Abstract
Spatially Interpolated Nonlinear Anodization in Synthetic Aperture Original formulation of spatially variant anodization for complex synthetic aperture radar (SAR) imagery oversampled at twice the Nyquist rate (2.OX). Here we report a spatially interpolating, nonintegeroversampled SVA sidelobe. The pixel's apparent IPR location is assessed by comparing its value to the sum of its value plus weighted comparable for exact interpolation. However, exact interpolation implies an ideal sine interpolator3 and large components may not be necessary. Note that P is the summation of IPR diagonal values. The value of a sine IPR on the diagonals is a sinesquared; values much less than cardinal direction (m, n) values. This implies that cardinal direction interpolation requires higher precision than diagonal interpolation. Consequently, we employed a smaller set. The spatially interpolated SVA used an 8point/4point sine interpolator described above. Table 1 shows the Table 1 results show a twotimes speedup using the 1.3x oversampled and spatially interpolated SVA over the Figure 1d. Detected results of 1.3x oversampled sine interpolated spatially variant
 Authors:
 Publication Date:
 Research Org.:
 Sandia National Labs., Albuquerque, NM (US); Sandia National Labs., Livermore, CA (US)
 Sponsoring Org.:
 US Department of Energy (US)
 OSTI Identifier:
 8407
 Report Number(s):
 SAND991629J
TRN: AH200117%%84
 DOE Contract Number:
 AC0494AL85000
 Resource Type:
 Journal Article
 Resource Relation:
 Journal Name: Optics Letters; Other Information: Submitted to Optics Letters; PBD: 29 Jun 1999
 Country of Publication:
 United States
 Language:
 English
 Subject:
 47 OTHER INSTRUMENTATION; ANODIZATION; APERTURES; INTERPOLATION; RADAR; IMAGE PROCESSING
Citation Formats
Eichel, Paul H., Jakowatz, Jr., Charles V., and Yocky, David A. Spatially Interpolated Nonlinear Anodization in Synthetic Aperture Radar Imagery. United States: N. p., 1999.
Web.
Eichel, Paul H., Jakowatz, Jr., Charles V., & Yocky, David A. Spatially Interpolated Nonlinear Anodization in Synthetic Aperture Radar Imagery. United States.
Eichel, Paul H., Jakowatz, Jr., Charles V., and Yocky, David A. Tue .
"Spatially Interpolated Nonlinear Anodization in Synthetic Aperture Radar Imagery". United States.
doi:. https://www.osti.gov/servlets/purl/8407.
@article{osti_8407,
title = {Spatially Interpolated Nonlinear Anodization in Synthetic Aperture Radar Imagery},
author = {Eichel, Paul H. and Jakowatz, Jr., Charles V. and Yocky, David A.},
abstractNote = {Spatially Interpolated Nonlinear Anodization in Synthetic Aperture Original formulation of spatially variant anodization for complex synthetic aperture radar (SAR) imagery oversampled at twice the Nyquist rate (2.OX). Here we report a spatially interpolating, nonintegeroversampled SVA sidelobe. The pixel's apparent IPR location is assessed by comparing its value to the sum of its value plus weighted comparable for exact interpolation. However, exact interpolation implies an ideal sine interpolator3 and large components may not be necessary. Note that P is the summation of IPR diagonal values. The value of a sine IPR on the diagonals is a sinesquared; values much less than cardinal direction (m, n) values. This implies that cardinal direction interpolation requires higher precision than diagonal interpolation. Consequently, we employed a smaller set. The spatially interpolated SVA used an 8point/4point sine interpolator described above. Table 1 shows the Table 1 results show a twotimes speedup using the 1.3x oversampled and spatially interpolated SVA over the Figure 1d. Detected results of 1.3x oversampled sine interpolated spatially variant},
doi = {},
journal = {Optics Letters},
number = ,
volume = ,
place = {United States},
year = {Tue Jun 29 00:00:00 EDT 1999},
month = {Tue Jun 29 00:00:00 EDT 1999}
}

We develop a maximumlikelihood (ML) algorithm for estimation and correction (autofocus) of phase errors induced in syntheticapertureradar (SAR) imagery. Here, M pulse vectors in the rangecompressed domain are used as input for simultaneously estimating M[minus]1 phase values across the aperture. The solution involves an eigenvector of the sample covariance matrix of the rangecompressed data. The estimator is then used within the basic structure of the phase gradient autofocus (PGA) algorithm, replacing the original phaseestimation kernel. We show that, in practice, the new algorithm provides excellent restorations to defocused SAR imagery, typically in only one or two iterations. The performance ofmore »

Twodimensional phase correction of syntheticapertureradar imagery
A twodimensional syntheticapertureradar (SAR) phasecorrection algorithm is described as a natural extension of a onedimensional technique developed previously. It embodies some similarities of phasegradient speckle imaging and incorporates improvements in phase estimation. Diffractionlimited performance has been obtained on actual SAR imagery regardless of scene content or phaseerror structure. The algorithm is computationally efficient, robust, and easily implemented on a generalpurpose computer or specialpurpose hardware. 
Refocus of constant velocity moving targets in synthetic aperture radar imagery
The detection and refocus of moving targets in SAR imagery is of interest in a number of applications. In this paper the authors address the problem of refocusing a blurred signature that has by some means been identified as a moving target. They assume that the target vehicle velocity is constant, i.e., the motion is in a straight line with constant speed. The refocus is accomplished by application of a twodimensional phase function to the phase history data obtained via Fourier transformation of an image chip that contains the blurred moving target data. By considering separately the phase effects ofmore » 
Simulating the Effects of LongRange Collection on Synthetic Aperture Radar Imagery.
Abstract not provided. 