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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291-300 订阅

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Application of fast backprojection techniques for some inverse problems of synthetic aperture radar

Application of fast backprojection techniques for some inver...

引用

spie conference on algorithm for synthetic aperture radar imagery v

作者： Nilsson, S Andersson, LE Swedish Def Res Estab Div Sensor Technol S-58111 Linkoping Sweden

ISBN: (纸本)0819428191

In certain radar imaging applications one encounters the problem of reconstructing a reflectivity function from information about its averages over circles with center on a straight line. A robust inversion method is a filtered backprojection method, similar to the one used in medical tomography. We will present a fast algorithm for this backprojection operator. Numerical examples are given.

关键词： backprojection synthetic aperture radar circular averages

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Subband prescreening of foliage penetrating SAR imagery

Subband prescreening of foliage penetrating SAR imagery

引用

spie conference on algorithm for synthetic aperture radar imagery v

作者： Miller, TR Potter, LC Ohio State Univ Columbus OH 43210 USA

ISBN: (纸本)0819428191

In this paper we present the results of an empirical study investigating subband prescreener detection. The prescreener is used with ultra-wideband foliage penetrating synthetic aperture radar imagery. Our results demonstrate that, for the selected set of computationally simple features, lower resolution imagery can be used at the early detection stages. We also present initial multiband detection results. These results indicate that a combination of lower resolution subbands can be used in a fast prescreening algorithm without appreciable performance loss when compared tb the fullband detector.

关键词： prescreener FOPEN SAR subband

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Distortion-invariant filters for foliage penetration (FOPEN) synthetic aperture radar

Distortion-invariant filters for foliage penetration (FOPEN)...

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spie conference on algorithm for synthetic aperture radar imagery v

作者： Casasent, D Cox, W Carnegie Mellon Univ Lab Opt Data Proc Dept Elect & Comp Engn Pittsburgh PA 15213 USA

ISBN: (纸本)0819428191

New distortion-invariant filters are considered for object detection and clutter rejection in ultra-wideband synthetic aperture radar (SAR) imagery. Because of the foliage penetration (FOPEN) ability of this SAR sensor, the data is attractive for automatic target recognition (ATR). We detail the first use of 2-D distortion-invariant filters for object detection in FOPEN data. Since FOPEN imagery of a particular target is dependent upon the foliage obscuring the object, we use filters designed using targets in an open area and test them on objects in foliage. Initial results indicate attractive distortion-invariant detection and low false alarm rates.

关键词： correlation filters detection distortion-invariant filters foliage penetration (FOPEN) radar synthetic aperture radar (SAR)

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Range stacking: An interpolation-free SAR reconstruction algorithm

Range stacking: An interpolation-free SAR reconstruction alg...

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spie conference on algorithm for synthetic aperture radar imagery v

作者： Soumekh, M SUNY Buffalo Dept Elect & Comp Engn Buffalo NY 14260 USA

ISBN: (纸本)0819428191

A method for digital image formation in synthetic aperture radar (SAR) systems is presented. The proposed approach is based on the wavefront reconstruction theory for SAR imaging systems. However, this is achieved without image formation in the spatial frequency domain of the target function which requires interpolation. The proposed method forms the target function at individual range points within the radar range swath;this is referred to as range stacking. The range stacking reconstruction method is applicable in stripmap and spotlight (broadside and squint) SAR systems. Results using a wide-beamwidth FOliage PENetrating (FOPEN) SAR database are provided, and the effect of beamwidth filtering on the signature of moving targets in the imaging scene is shown.

关键词： synthetic aperture radar (SAR) digital reconstruction

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Geometric invariance for synthetic aperture radar (SAR) sensors

Geometric invariance for synthetic aperture radar (SAR) sens...

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spie conference on algorithm for synthetic aperture radar imagery v

作者： velten, vJ USAF Res Lab SNAT Wright Patterson AFB OH 45433 USA

ISBN: (纸本)0819428191

synthetic aperture radar (SAR) sensors have many advantages over electro-optical sensors (EO) for target recognition applications, such as range-independent resolution and superior poor weather performance. However, the relative unavailability of SAR data to the basic research community has retarded analysis of the fundamental invariant properties of SAR sensors relative to the extensive invariant literature for EO, and in particular photographic sensors. This paper develops the basic geometric imaging transformation associated with SAR from first principles, and then gives an existence proof for several geometric scatter configurations which give rise to SAR image invariants.

关键词： synthetic aperture radar scattering centers geometric invariance model-based vision

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A design for HMM-based SAR ATR

A design for HMM-based SAR ATR

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spie conference on algorithm for synthetic aperture radar imagery v

作者： Kottke, DP Fiore, PD Brown, KL Fwu, JK A Lockheed Martin Co Sanders Nashua NH 03061 USA

ISBN: (纸本)0819428191

This paper describes progress on an Automatic Target Recognition (ATR) system for synthetic aperture radar (SAR) imagery. The system is based upon a feature extraction, data ordering, and statistical modeling paradigm. Feature extraction is performed by applying image segmentation to convert the SAR imagery into one of four pixel classes. A description of a real-time image segmentation design is given. The segmented imagery is re-ordered from a two dimensional (2D) spatial representation to a sequential representation through the use of multiple Radon Transforms (RT). Finally, the re-ordered data is classified by target type by appling Hidden Markov Model (HMM) decoding techniques. Performance results on the MSTAR public targets database is provided.

关键词： hidden Markov modeling (HMM) target recognition image segmentation synthetic aperture radar (SAR)

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Target/shadow segmentation and aspect estimation in synthetic aperture radar imagery

Target/shadow segmentation and aspect estimation in syntheti...

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spie conference on algorithm for synthetic aperture radar imagery v

作者： Meth, R Univ Maryland Dept Elect Engn College Pk MD 20742 USA

ISBN: (纸本)0819428191

This paper discusses algorithms that are useful for the classification of targets in SAR imagery. Two algorithms are presented for segmenting a target region from background clutter;one based on constant false alarm rate (CFAR) detection, and another histogram based technique. The histogram based technique is extended to extract shadow regions associated with a target. A method is then presented for estimating the orientation of segmented targets. These algorithms are applied to SAR imagery from the Lincoln Lab ADTS and MSTAR datasets. The aspect estimate is shown to be superior to estimates obtained from the direction of the axis of least inertia.

关键词： SAR ATR target segmentation aspect estimation

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Standard SAR ATR evaluation experiments using the MSTAR public release data set

Standard SAR ATR evaluation experiments using the MSTAR publ...

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spie conference on algorithm for synthetic aperture radar imagery v

作者： Ross, T Worrell, S velten, v Mossing, J Bryant, M USAF Res Lab Sensors Directorate Sensor ATR Technol Div Wright Patterson AFB OH 45433 USA

ISBN: (纸本)0819428191

The recent public release of high resolution synthetic aperture radar (SAR) data collected by the DARPA/AFRL Moving and Stationary Target Acquisition and Recognition (MSTAR) program has provided a unique opportunity to promote and assess progress in SAR ATR algorithm development. This paper will suggest general principles to follow and report on a specific ATR performance experiment using these principles and this data. The principles and experiments are motivated by AFRL experience with the evaluation of the MSTAR ATR.

关键词： ATR automatic target recognition evaluation SAR data sets performance standards

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IFSAR reductions from ERS-1/2 tandem data

IFSAR reductions from ERS-1/2 tandem data

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spie conference on algorithm for synthetic aperture radar imagery v

作者： Poehler, PL Mansfield, AW Rogers, GW Rais, H Sci Applicat Int Corp Mclean VA 22102 USA

ISBN: (纸本)0819428191

Recent advances in the areas of phase history processing, interferometric synthetic aperture radar (IFSAR) processing algorithms, and the use of photogrammetric techniques have made it possible to extract extremely accurate DEM generation from synthetic aperture radar (SAR) images. Recent improvements by the authors in the phase unwrapping and interferogram conditioning steps are described which make it possible to obtain good elevation accuracy from noisy interferograms resulting from temporal decorrelation due to foliage or extreme terrain. Results are shown of data reductions from separate passes of the ERS-1,/2 Tandem System over Ft. Irwin, California, and Aschaffenburg, Germany.

关键词： synthetic aperture radar interferometry terrain elevation DTED phase unwrapping residues photogrammetry radargrammetry

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Pose estimation in SAR using an information theoretic criterion

Pose estimation in SAR using an information theoretic criter...

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spie conference on algorithm for synthetic aperture radar imagery v

作者： Principe, JC Xu, DX Fisher, JW Univ Florida Computat NeuroEngn Lab Gainesville FL 32611 USA

ISBN: (纸本)0819428191

In this paper we formulate pose estimation statistically and show that pose can be estimated from a low dimensional feature space obtained by maximizing the mutual information between the aspect angle and the output of a nonlinear mapper. We use the Havrda-Charvat definition of entropy to implement a nonparametric estimator based on the Parzen window method. Results in the MSTAR data set are presented and show the performance of the methodology.

关键词： Statistical analysis synthetic aperture radar Associative arrays Information theory Content addressable memory Feature extraction Principal component analysis Databases Image analysis Image filtering

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