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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201-210 订阅

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A Bayesian approach to simultaneous autofocus and super-resolution

A Bayesian approach to simultaneous autofocus and super-reso...

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conference on algorithms for synthetic aperture radar imagery XI

作者： Lane, RO Copsey, KD Webb, AR QinetiQ Ltd Malvern WR14 3PS Worcs England

ISBN: (纸本)0819453501

This paper presents a numerical Bayesian approach to the autofocus and super-resolution of targets in radar imagery. An ill-posed inverse problem is studied in which the known linear imaging operator is subject to an unknown degree of distortion (defocusing). The goal is simultaneously to reconstruct a high-resolution representation of a target based on noisy lower resolution image measurements and to estimate the degree of defocus. We present a Markov chain Monte Carlo algorithm for parameter estimation, illustrate the approach on an explanatory example and compare our technique with a maximum likelihood approach. Given a model for the sensor measurement process, this technique may be applied to any type of radar image such as those produced by a synthetic aperture radar (SAR), inverse SAR (ISAR) or a real beam imaging radar. The proposed approach fits into a larger set of procedures aiming to exploit targeting information from different radar sensors.

关键词： radar image restoration Bayesian methods autofocus super-resolution Markov chain Monte Carlo

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Using High range resolution (HRR) radar data for reconstructing rigid moving target's scattering centers

Using High range resolution (HRR) radar data for reconstruct...

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conference on algorithms for synthetic aperture radar imagery XI

作者： Fazio, SB Hong, L Def Acquisit Univ Kettering OH 45420 USA

ISBN: (纸本)0819453501

Spatial reconstruction of a rigid, moving target's scattering centers using one dimensional, high range resolution (HRR) radar remains of high interest to synthetic aperture radar (SAR) processing of moving targets. Innovative range and Doppler equations for a rotating target with constant angular velocity were developed by Fazio, Hong, and Wood and presented at the April 2002 spie AeroSense conference in Orlando, Florida. Further research has produced a method of reconstructing a three-dimensional scattering center model of a moving target with variable angular velocity. The reconstruction algorithm uses the relative ranges from a minimum of five observations of three scattering centers. In-plane rotational motion provides necessary information for positioning the projection of the scattering centers onto the observation (reconstruction) plane;while out-of-rotational-plane target motion is necessary to locate the center above or below the reconstruction plane.

关键词： scattering center spatial location structural rigidity moving targets target tracking target identification HRR radar data

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Feature association and occlusion model estimation for synthetic aperture radar

Feature association and occlusion model estimation for synth...

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conference on algorithms for synthetic aperture radar imagery XI

作者： Lavely, EM Weichman, PB ALPATECH Ins Burlington MA 01803 USA

ISBN: (纸本)0819453501

We develop a radar-based automatic target recognition approach for partially occluded objects. The approach may be variously posed as an optimization problem in the phase history, scene reflectivity and feature domains. The latter consists of point scattering features estimated from the phase histories or corresponding images. We adopt simple occlusion models in which the physical scattering responses (isotropic scattering centers, attributed scatterers, etc.) can be occluded in any combination. The formulation supports the use of prior occlusion models (e.g., that occlusion is spatially correlated rather than randomly distributed). We introduce a physics-based noise covariance model for use in cost or objective functions. Occlusion model estimation is a combinatorial problem since the optimal subset of scatterers must be discovered from a potentially much larger set. Further. the number of occluded scatterers must be estimated as a part of the solution. We apply a genetic algorithm to solve the combinatorial problem, and we provide a simple demonstration example using synthetic data.

关键词： SAR image formation automatic target recognition occlusion data association genetic algorithm

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radar clutter modeling for change detection

Radar clutter modeling for change detection

引用

conference on algorithms for synthetic aperture radar imagery XI

作者： Blasch, EP Hensel, M Jackson, J USAF Res Lab Dayton OH USA

ISBN: (纸本)0819453501

To recognize an object in an image, an algorithm must identify not only the object pixels, but also non-object clutter pixels. Non-object pixels can be assessed with a priori clutter models that account for the varying terrain and cultural objects. radar clutter models have been well developed;however, these models typically incorporate a single distribution to capture background effects. In this paper, we propose to use a fusion of distributions through mixture modeling to characterize various background clutter information so as to more accurately develop a clutter model useful for object recognition. In a radar example, we show a fused-distribution using a Rayleigh and Pareto model describing the average and heavy tail clutter characteristics.

关键词： fusion distributions clutter model change detection

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A sub-optimal, yet effective, non-coherent change detection algorithm for multi-look SAR imagery

A sub-optimal, yet effective, non-coherent change detection ...

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conference on Detection and Remediation Technologies for Mines and Minelike Targets IX

作者： Ranney, K Khatri, H USA Res Lab AMSRL SERU Adelphi MD 20783 USA

ISBN: (纸本)0819453382

ne Army Research Laboratory (ARL) has examined single-polarity, synthetic aperture radar (SAR) data collected in spotlight mode at X band as part of an effort to identify land mines in radar imagery. This data set consisted of several single-polarization, extremely high-resolution, spotlight-mode SAR images from multiple passes over a common target area that included various reference reflectors as well as the landmines. In particular, certain mines were placed in the scene for only a portion of the data collection, creating an opportunity for the investigation of various change detection algorithms. We describe a suboptimal, yet effective, change detection algorithm based on a Mahalanobis-like distance metric, and we apply it to a recently collected SAR data set.

关键词： synthetic aperture radar Detection and tracking algorithms Mining Image processing algorithm development Land mines Target detection Sensors Analytical research radar

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An evaluation strategy and co-registered imagery database supporting sensor and algorithm fusion studies for airborne minefield detection

An evaluation strategy and co-registered imagery database su...

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conference on Detection and Remediation Technologies for Mines and Minelike Targets IX

作者： Radzelovage, WC Pawlak, AJ Barbour, BJ Degraaf, EJ Piper, AM Raytheon Integrated Def Syst Tewksbury MA 01876 USA

ISBN: (纸本)0819453382

Airborne automated target detection (ATD) and fusion experiments are frequently limited by the quality, quantity, and rapid availability of geo-registered multi-sensor, multi-platform imagery. This is especially true when working with mine targets that are smaller than the inertial measurement errors on airborne platforms. Working under the sponsorship of NvESD, we have developed and demonstrated an automated approach to inertially geo-register and ground truth imagery from multiple sensor modalities at accuracies on the order of an antitank mine dimension. Data types include ground penetrating, X-band, and Ku-band synthetic aperture radar, visible to near infrared (vIS/NIR) and longwave infrared (LWIR). This database is being used to support feature and decision-level sensor and algorithm fusion studies and to extract sensor utility metrics for a wide range of operational condition subspaces. In addition, we have standardized the format of the ground-truthed imagery products for dissemination to a larger algorithm development community and for compatibility with the U.S. Army Research Laboratory's (ARL) Automatic Target Detection Evaluation Environment (ATD EvalEnv). This environment facilitates mine detection and fusion algorithm performance assessment across sensors, algorithms, and operational conditions. In this paper, we will discuss a process for fusion studies, including the ARL infrastructure and the techniques employed to collect and prepare the inertially co-registered imagery database.

关键词： mine detection minefield detection fusion synthetic aperture radar hyperspectral imaging georegistration mine imagery database

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Statistical ratio rank ordered differences filter for radar speckle removal

Statistical ratio rank ordered differences filter for radar ...

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conference on Image and Signal Processing for Remote Sensing IX

作者： Liu, ZJ Liu, AX Wang, CY Qi, SH CAS Inst Remote Sensing Applicat Lab Remote Sensing Informat Sci Beijing 100101 Peoples R China

ISBN: (纸本)0819451215

The commonly presented speckle in synthetic aperture radar (SAR) imagery makes it very difficult to be visually interpreted or directly used for quantitative application. Therefore, speckle reduction is a prerequisite for many SAR image processing and application projects. In this paper, we discuss a non-linear adaptive algorithm in detail. The key point of the algorithm is to sort the pixel values within a local window, to compute the sequences of standard deviations and means, and then to take the normalized differences between two successive standard deviation/mean ratios. Speckle detection is achieved by thresholding these differences. Speckle noise suppression is achieved by replacing the pixel's digital value with rank-ordered local statistics. Experimental results shows that the proposed method demonstrates promising performance in comparison to some conventional SAR speckle filters in terms of the edge preservation, mean preservation, variance reduction and the visual effect.

关键词： synthetic aperture radar (SAR) speckle removal coefficient of variation (Cov)

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A simulation system for feature-aided tracking research

A simulation system for feature-aided tracking research

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conference on algorithms for synthetic aperture radar imagery XI

作者： Musick, SH Sherwood, JU Piatt, TL Carlson, NA USAF Res Lab Sensors Directorate Wright Patterson AFB OH 45433 USA

ISBN: (纸本)0819453501

Many years of tracking research have shown that the greatest obstacle to effective track estimation is accurately associating sensor kinematic reports to known tracks, new tracks, or clutter. Errors in report association occur more frequently under increasingly stressful conditions, like closely-spaced targets and low measurement rates, which can lead to unstable and even divergent tracking performance. It is widely expected that adding target features will aid report association and result in enhanced track accuracy and lengthened track life. Although sensors can provide features to enhance association, progress in implementing feature aiding has been slowed by the lack of data and tools that could assist exploration and algorithm development. To encourage research in this important discipline, the Sensors Directorate of the Air Force Research Laboratory (AFRL/SN) is sponsoring a challenge problem called Feature-Aided Tracking of Stop-move Objects (FATSO). FATSO's long-range goal is to provide a full suite of public data and software to promote explorations into viable methods of feature aiding. This paper introduces the FATSO project, focusing on an upcoming release that will contain data from a diverse target set and predictor software for generating radar signatures.

关键词： feature aiding tracking radar signatures target database report association

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Adaptive compression algorithm results for complex synthetic aperture radar data

Adaptive compression algorithm results for complex synthetic...

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conference on algorithms for synthetic aperture radar imagery X

作者： Cirillo, FR Poehler, PL Ziemba, N Sci Applicat Int Corp Melbourne FL 32935 USA

ISBN: (纸本)0819449555

Research conducted on complex synthetic aperture radar (SAR) data over the last two years has culminated in the development of a compression algorithim(1) compatible with current imagery standards. This new algorithm also includes adaptive attributes which identify the radar data type, data characteristics, and then selects optimal quantization parameters, generated based on the statistics of the data, from a knowledge base. This algorithm has achieved near-lossless compression ratios in excess of 20 to 1, with reduced Root Mean Square Error (RMSE) and increased Peak Signal to Noise Ratio (PSNR). This algorithm also produces minimal degradation when producing phase-derived radar products. This paper describes the algorithm development, operation, and test results obtained using this compression algorithm., The algorithm component elements are described including the use of an adaptive preprocessor, modified quantizer, and knowledge base. This paper details the improved results observed for compressed data, magnitude imagery, and phase-derived products generated during the study.

关键词： synthetic aperture radar SAR complex data compression adaptive compression algorithm

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synthetic aperture radar imaging based on two order of general key-stone transform

Synthetic aperture radar imaging based on two order of gener...

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conference on algorithms for synthetic aperture radar imagery X

作者： Guo, HW Liang, DN Wang, Y Huang, XT Dong, Z Natl Univ Def Technol Coll Elect Changsha 410073 Hunan Peoples R China

ISBN: (纸本)0819449555

A new concept is defined as General Key-Stone Transform, which can remove any order of range migration. Two new imaging algorithms are obtained according to two order of General Key-Stone Transform concept. One imaging algorithm based on two order of General Key-Stone Transform fits for broadside SAR, the other imaging algorithm based on two orders General Key-Stone Transform fits for side-look SAR. Practice data processing shows that both of them are good SAR imaging algorithms.

关键词： SAR imaging General Key-Stone Transform range migration

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