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检索条件"任意字段=SPIE Conference on Algorithm for Synthetic Aperture Radar Imagery V"

共 386 条记录，以下是151-160 订阅

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An implementation of a fast backprojection image formation algorithm for spotlight-mode SAR

An implementation of a fast backprojection image formation a...

引用

conference on algorithms for synthetic aperture radar imagery Xv

作者： Wahl, Daniel E. Yocky, David A. Jakowatz, Charles v., Jr. Sandia Natl Labs Albuquerque NM 87185 USA

ISBN: (纸本)9780819471611

In this paper we describe an algorithm for fast spotlight-mode synthetic aperture radar (SAR) image formation that employs backprojection as the core, but is implemented such that its compute time is comparable to the often-used Polar Format algorithm (PFA). (Standard backprojection is so much slower than PFA that it is impractical to use in many operational scenarios.) We demonstrate the feasibility of the algorithm on real SAR phase history data sets and show some advantages in the SAR image formed by this technique.

关键词： spotlight-mode SAR backprojection image formation

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Fast CSAR algorithm

Fast CSAR algorithm

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conference on algorithms for synthetic aperture radar imagery Xv

作者： Burki, Jehanzeb Barnes, Christopher F. Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)9780819471611

Fourier analysis based focusing of synthetic aperture radar (SAR) data collected during circular flight path is a recent advancement in SAR signal processing. Fast CSAR algorithm uses the Householder transform to obtain a ground plane circular SAR (CSAR) signal phase history from the slant plane CSAR phase history by inverting the linear shift-varying system model, thereby circumventing the need for explicitly computing a pseudoinverse. The Householder transform has recently been shown to have improved error bounds and stability as an underdetermined and ill-conditioned system solver, and the Householder transform is computationally efficient.

关键词： synthetic aperture radar (SAR) 2D aperture synthesis CSAR Fourier optics circular aperture Fourier transform householder transform

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Recovering shape from shadows in synthetic aperture radar imagery

Recovering shape from shadows in synthetic aperture radar im...

引用

conference on Radio Sensor Technology XII

作者： Dickey, F. M. Doerry, A. W. Sandia Natl Labs Livermore CA 94550 USA

ISBN: (纸本)9780819471383

There has been little interest in the information associated with the shadows in high resolution synthetic aperture radar (SAR) images. In this paper we give an algorithm for the reconstruction of an object's shape from the shadows cast by the object in a sequence of SAR images. The algorithm is a back-projection type algorithm based on the intersection of solids. The effects of diffraction and synthetic aperture occlusion on SAR shadow resolution are also addressed.

关键词： SAR radar image shadows shape 3D

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Imaging that exploits spatial, temporal, and spectral aspects of far-field radar data

Imaging that exploits spatial, temporal, and spectral aspect...

引用

conference on algorithms for synthetic aperture radar imagery Xv

作者： Cheney, Margaret Borden, Brett Rensselaer Polytech Inst Troy NY 12181 USA Naval Postgrad Sch Monterey CA USA

ISBN: (纸本)9780819471611

We develop a linearized imaging theory that combines the spatial, temporal, and spectral aspects of scattered waves. We consider the case of fixed sensors and a general distribution of objects, each undergoing linear motion;thus the theory deals with imaging distributions in phase space. We derive a model for the data that is appropriate for any waveform, and show how it specializes to familiar results when the targets are far from the antennas and narrowband waveforms are used. We develop a phase-space imaging formula that can be interpreted in terms of filtered backprojection or matched filtering. For this imaging approach, we derive the corresponding point-spread function. We show that special cases of the theory reduce to: a) Range-Doppler imaging, b) Inverse synthetic aperture radar (ISAR), c) Spotlight synthetic aperture radar (SAR), d) Diffraction Tomography, and e) Tomography of Moving Targets. We also show that the theory gives a new SAR imaging algorithm for waveforms with arbitrary ridge-like ambiguity functions.

关键词： radar synthetic aperture radar Transmitters Image filtering radar imaging Receivers Data modeling Doppler tomography Tomography Imaging systems

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Three-dimensional sparse-aperture moving-target imaging

Three-dimensional sparse-aperture moving-target imaging

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conference on algorithms for synthetic aperture radar imagery Xv

作者： Ferrara, Matthew Jackson, Julie Stuff, Mark Air Force Research Lab. (United States) The Ohio State Univ. (United States) Michigan Tech Research Institute (United States)

ISBN: (纸本)9780819471611

If a target's motion can be determined, the problem of reconstructing a 3D target image becomes a sparse-aperture imaging problem. That is, the data lies on a random trajectory in k-space, which constitutes a sparse data collection that yields very low-resolution images if backprojection or other standard imaging techniques are used. This paper investigates two moving- target imaging algorithms: the. first is a greedy algorithm based on the CLEAN technique, and the second is a version of Basis Pursuit Denoising. The two imaging algorithms are compared for a realistic moving-target motion history applied to a Xpatch-generated backhoe data set.

关键词： 3D image processing 3D acquisition Detection and tracking algorithms radar Scattering 3D image reconstruction 3D modeling Sensors Motion models Denoising

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Sparse reconstruction for radar

Sparse reconstruction for RADAR

引用

conference on algorithms for synthetic aperture radar imagery Xv

作者： Potter, Lee C. Schniter, Philip Ziniel, Justin Ohio State Univ Dept Elect & Comp Engn Columbus OH 43210 USA

ISBN: (纸本)9780819471611

Imaging is not itself a system goal, but is rather a means to support inference tasks. For data processing with linearized signal models, we seek to report all high-probability interpretations of the data and to report confidence labels in the form of posterior probabilities. A low-complexity recursive procedure is presented for Bayesian estimation in linear regression models. A Gaussian mixture is chosen as the prior on the unknown parameter vector. The algorithm returns both a set of high posterior probability mixing parameters and an approximate minimum mean squared error (MMSE) estimate of the parameter vector. Emphasis is given to the case of a sparse parameter vector. Numerical simulations demonstrate estimation performance and illustrate the distinctions between MMSE estimation and maximum a posteriori probability (MAP) model selection. The proposed treesearch algorithm provides exact ratios of posterior probabilities for a set of high probability solutions to the sparse reconstruction problem. These relative probabilities serve to reveal potential ambiguity among multiple candidate solutions that are ambiguous due to low signal-to-noise ratio and/or significant correlation among columns in the super-resolving regressor matrix.

关键词： sparse reconstruction radar imaging Gaussian mixture models

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Beamforming as a foundation for spotlight-mode SAR image formation by backprojection

Beamforming as a foundation for spotlight-mode SAR image for...

引用

conference on algorithms for synthetic aperture radar imagery Xv

作者： Jakowatz, Charles v., Jr. Wahl, Daniel E. Yocky, David A. Sandia Natl Labs Albuquerque NM 87185 USA

ISBN: (纸本)9780819471611

In this paper we show that the technique for spotlight-mode SAR image formation generally known as "backprojection" or "time-domain" is most easily derived and described in terms of the well-known methods of phased-array beamforming. By contrast, backprojection has been typically developed via analogy to tomographic imaging [1], which restricts this technique to the case of planar wavefronts. We demonstrate how the very simple notion of delay-and-sum beamforming leads directly to the backprojection algorithm for SAR, including the case for curved wavefronts. We further explain why backprojection offers a certain elegant simplicity for SAR imaging, and allows direct one-step computation of several useful SAR products, including an orthographically correct image free of any geometric or defocus effects from wavefront curvature and also free of the effects of terrain-elevation-induced defocus. (This product requires as an input a pre-existing digital elevation map (DEM) of the scene to be imaged.) In addition, we'll demonstrate why beamforming yields a mode-independent SAR image formation algorithm, i.e. one that can just as easily accommodate strip-map or spotlight-mode phase histories collected on an arbitrary flight path.

关键词： spotlight-mode SAR beamforming backprojection time domain polar formatting SAR image formation

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Multibaseline IFSAR for 3D target reconstruction

Multibaseline IFSAR for 3D target reconstruction

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conference on algorithms for synthetic aperture radar imagery Xv

作者： Ertin, Emre Moses, Randolph L. Potter, Lee C. Ohio State Univ Dept Elect Engn Columbus OH 43210 USA

ISBN: (纸本)9780819471611

We consider three dimensional target construction from SAR data collected on multiple complete circular apertures at different elevation angle. The 3-D resolution of circular SAR systems is constrained by two factors: the sparse sampling in elevation and the limited azimuthal persistence of the reflectors in the scene. Three dimensional target reconstruction with multipass circular SAR data is further complicated by nonuniform elevation spacing in real flight paths and non-constant elevation angle throughout the circular pass. In this paper we first develop parametric spectral estimation methods that extend standard IFSAR method of height estimation to apertures at more than two elevation angles. Next, we show that linear interpolation of the phase history data leads to unsatisfactory performance in 3-D reconstruction from nonuniformly sampled elevation passes. We then present a new sparsity regularized interpolation algorithm to preprocess nonuniform elevation samples to create a virtual uniform linear array geometry. We illustrate the performance of the proposed method using simulated backscatter data.

关键词： synthetic aperture radar three dimensional Imaging circular SAR wide-angle imaging

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Subaperture algorithm for airborne spotlight SAR imaging with nonideal motions - art. no. 68330O

Subaperture algorithm for airborne spotlight SAR imaging wit...

引用

conference on Electronic Imaging and Multimedia Technology v

作者： Li, Yong Zhu, Daiyin Nanjing Univ Aeronaut & Astronaut Coll Informat Sci & Technol Nanjing 210016 Peoples R China

ISBN: (纸本)9780819470089

In airborne synthetic aperture radar (SAR), the arbitrary aircraft maneuvers significantly degrade the achievable performance of the imaging system. Compared with other SAR processing algorithms, the time-domain subaperture processing is tested to be more effective in handling the problems, where the real-time adjustment of the radar parameters is required. In this paper, a subaperture image formation for high-quality SAR imaging without changing any parameters is presented. Some new characters are briefly described. Sets of the simulation results are then given as demonstrations to show its effectivity.

关键词： synthetic aperture radar (SAR) subaperture algorithm path deviation motion compensation

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variational method of speckle reduction and boundary detection in SAR imagery

Variational method of speckle reduction and boundary detecti...

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Geoinformatics 2008 and Joint conference on GIS and Built Environment: Classification of Remote Sensing Images

作者： Xia, Zhipeng Tang, Xiaona Li, Fang Zhang, Guixu Department of Computer Science East China Normal University Shanghai 200241 China Department of Mathematics East China Normal University Shanghai 200241 China

synthetic aperture radar (SAR) images have been widely used in remote sensing applications. However, the SAR image contains speckle noise. In this paper, we propose a variational method to delineate the boundary of objects in SAR images. It is implemented by two steps: The first step is speckle reduction and the second step is boundary detection. The two steps are implemented with a unified frame of energy minimization. In each step, we define an energy functional, and the corresponding minimizer of the functional is regarded as the result. An ERS-2 PRecision Image (PRI) over Proserpine area in Australia is used to demonstrate the algorithm. The results of both steps appear to be very promising. © 2008 spie.

关键词： synthetic aperture radar

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