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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets 1999"

共 764 条记录，以下是561-570 订阅

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Detecting subpixel targets from hyperspectral images using wavelet transform

Detecting subpixel targets from hyperspectral images using w...

引用

Proceedings of the 1999 signal and data processing of small targets

作者： Chen, Grace H. Noonan, Joseph P. IISI Corp Inc North Billerica United States

We present a new method for detecting subpixel targets from hyperspectral images using wavelet transform. In this paper, we focus on cases where the spectral information is available and the observed target signatures are close to that of the background. In the present approach, instead of using the spectral information directly, we wavelet transform the spectrum of each spatial pixel and perform the analysis in the wavelet domain. The signatures of the true target and the background contaminants can be well separated in the wavelet domain if the spectral signature of the target is quasi-localized in the spectral domain. This paper exploits this concept to detect weak, subpixel targets.

关键词： Radar target recognition

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Super-resolution for FOPEN SAR data

Super-resolution for FOPEN SAR data

引用

conference on signal processing, Sensor Fusion, and Target Recognition VIII

作者： Shekarforoush, H Banerjee, A Chellappa, R Univ Maryland Ctr Automat Res College Pk MD 20742 USA

ISBN: (纸本)081943194X

Detecting targets occluded by foliage in Foliage penetrating (FOPEN) Ultra-Wide-Band Synthetic Aperture Radar (UWB SAR) images is an important and challenging problem. Given the different nature of FOPEN SAR imagery and very low signal-to-clutter ratio in UWB SAR data, conventional detection algorithms usually fail to yield robust target detection results on raw data with minimum false alarms. Hence improving the resolving power by means of a super-resolution algorithm plays an important role in hypothesis testing for false alarm mitigation and target localization. In this paper we present a new single-frame super-resolution algorithm based on estimating the polyphase components of the observed signal projected on an optimal basis. The estimated polyphase components are then combined into a single super-resolved image using the standard inverse polyphase transform, leading to improved target signature while suppressing noise.

关键词： super-resolution foliage penetrating SAR polyphase transform

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Target detection via combination of feature-based target-measure images

Target detection via combination of feature-based target-mea...

引用

conference on signal processing, Sensor Fusion, and Target Recognition VIII

作者： Pérez-Jácome, JE Madisetti, VK Georgia Inst Technol Ctr Signal & Image Proc ECE Atlanta GA 30332 USA

ISBN: (纸本)081943194X

We present an approach to perform automatic target detection of small targets from coregistered visual, thermal, and range images, using five features of value for target discrimination: Brightness, Texture, Temperature, Surface Planarity, and Height. For each, we propose a set of operations to extract targets from the images, using inherent target properties that differentiate them from clutter. Each of the target extractors yields a "Target Measure" image, based on a specific feature. These, when combined appropriately, yield better results than those obtained by individual, single image detectors. Two methods are presented to perform information fusion on the target measure images: Binary Combination and Fuzzy Combination. Experimental results using both combination methods on synthetic and real imagery are given with very satisfactory results. A morphological operation called "erosion of strength n" is introduced and utilized as a powerful tool for removal of spurious information in binary images.

关键词： target detection multisensor feature-based target measure fuzzy combination morphologic

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Fully adaptive space-spectral detection of small targets in the absence of a priori knowledge of the spectral signature of the target

Fully adaptive space-spectral detection of small targets in ...

引用

Proceedings of the 1999 signal and data processing of small targets

作者： Singer, Paul Frank Sasaki, Doreen M. Raytheon Co El Segundo United States

The ability to detect and track dim unresolved targets in heavy clutter can be improved by the inclusion of the spectral dimension. Because of the great variation in targets, operating conditions and environmental factors the spectral signature of the target is typically unknown. This paper presents a fully adaptive matched filter and tracking paradigm which assumes no a priori information about the spectral signature of the target. It is shown that the full SCR gain can be realized in the absence of the spectral signature of the target. The ROC curve of the detector is used to show that the performance loss due to the absence of spectral information is entirely due to an increase in the false alarm probability. This increase in PFA adversely effects tracker performance. The SCR track feature is developed to mitigate these effects. Track features provide an information shunt around the detection threshold nonlinearity that would otherwise block the flow of useful information to the tracker.

关键词： Radar target recognition

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Pattern recognition of the targets with help of polarization properties of the signal

Pattern recognition of the targets with help of polarization...

引用

Proceedings of the 1999 signal and data processing of small targets

作者： Ponomaryov, Volodymyr I. de Rivera, Luis Nino Baez Castellanos, Aldo Popov, Anatoly V. Inst Politecnico Nacional Mexico Mexico

We proposed to use the possibility of recognition of the targets on background of the scattering from the surface, weather objects with the help of polarimetric 3-cm radar. It has been investigated such polarization characteristics: the amplitudes of the polarization matrix elements;an anisotropy coefficient;depolarization coefficient;asymmetry coefficient;the energy of a backscattering signal;object shape factor. The inaccuracy of the measurement of the object backscattering cross-section was less than 1 dB at ranges up to 15 km and less than 1.5 dB at ranges up to 100 km. During the experiments urban objects and 6 various ships of small displacement having the closest values of the backscattering cross-section were used. The analysis has shown: the factor of the polarization selection for anisotropy objects and weather objects had the values about 0.02-0.08. Isotropy objects had the values of polarimetric correlation factor for hydrometers about 0.7-0.8, for earth surface about 0.8-0.9, for sea surface -from 0.33 to 0.7. The results of the work of recognition algorithm of a class `concrete objects', and `metal objects' are submitted as example in the paper. The results of experiments have shown that the probability of correct recognition of the identified objects was in the limits from 0.93 to 0.97.

关键词： Radar target recognition

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Adaptive clutter and jammer cancellation for element-digitised airborne radar 33

Adaptive clutter and jammer cancellation for element-digitis...

引用

33rd Asilomar conference on signals, Systems, and Computers, ACSSC 1999

作者： Mather, J.L. Rees, H.D. Skidmore, I.D. Signal Processing Group DERA St. Andrew's Road Malvern WorcestershireWR143PS United Kingdom

ISBN: (纸本)0780357000

We describe a novel multi-layer (domain factorisation) adaptive beamforming method, for an element-digitised array radar (EDAR). This enables adaptive beamforming weights for an array of many hundreds or thousands of elements to be calculated with realistic sample support and computational workload. Range-dependent gain adaption (RDGA) coupled with adaptive weighting of each element of the array permits much more effective cancellation of clutter and jamming than sub-Array based space-Time adaptive processing. Simulations of airborne intercept (AI) radar demonstrate the power of this approach for detection of small targets against severe clutter and main-beam jamming. © 1999 IEEE.

关键词： Beamforming

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Use of K-near optimal solutions to improve data association in multi-frame processing

Use of K-near optimal solutions to improve data association ...

引用

Proceedings of the 1999 signal and data processing of small targets

作者： Poore, Aubrey B. Yan, Xin Colorado State Univ Fort Collins United States

The problem of data association remains central in multitarget, multisensor, and multiplatform tracking. Lagrangian relaxation methods have been shown to yield near optimal answers in real-time. The necessarity of improvement in the quality of these solutions warrants a continuing interest in these methods. A partial branch-and-bound technique along with adequate branching and ordering rules are developed. Lagrangian relaxation is used as a branching method and as a method to calculate the lower bound for subproblems. The result shows that the branch-and-bound framework greatly improves the solution quality of the Lagrangian relaxation algorithm and yields better multiple solutions in less time than relaxation alone.

关键词： Radar target recognition

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Robust signal detection with nonstandard decision regions

Robust signal detection with nonstandard decision regions

引用

Proceedings of the 1999 signal and data processing of small targets

作者： Srisook, Manruth Halverson, Don R. Thompson, Michael W. Texas A&M Univ College Station United States

A reality faced in the practical application of signal detection is the inexact statistical knowledge of the underlying random processes. Accordingly, it is often desirable for a detector to possess robustness. In this paper, we review how the concept of manifold slope can be employed to admit the measurement of robustness thus allowing the degree of robustness to be a factor in the design of the signal detector. We then present new results that show how certain nonstandard decision regions can result in what we term `negative boundaries' which have the potential to enhance robustness. An example of this approach is provided and the results compared to the classical Huber approach for robust detection.

关键词： signal detection

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Automatic geocoding of high value targets using structural image analysis and GIS data

Automatic geocoding of high value targets using structural i...

引用

conference on Image and signal processing for Remote Sensing V

作者： Sörgel, U Thönnessen, U FOM FGAN D-76275 Ettlingen Germany

ISBN: (纸本)0819434663

Geocoding based merely on navigation data and sensor model is often not possible or precise enough. In these cases an improvement of the preregistration through image-based approaches is a solution. Due to the large amount of data in remote sensing automatic geocoding methods are necessary. For geocoding purposes appropriate tie points, which are present in image and map, have to be detected and matched. The tie points are base of the transformation function. Assigning the tie points is a combinatorial problem depending on the number of tie points. This number can be reduced using structural tie points like corners or crossings of prominent extended targets (e.g. harbors, airfields). Additionally the reliability of the tie points is improved. Our approach extracts structural tie points independently in the image and in the vector map by a model-based image analysis. The vector map is provided by a GIS using ATKIS data base. The model parameters are extracted from maps or collateral information of the scenario. The two sets of tie points are automatically matched with a Geometric Hashing algorithm. The algorithm was successfully applied to VIS, IR and SAR data.

关键词： structural analysis feature extraction automatic geocoding data fusion

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Adaptive Ozturk-based receivers for small signal detection in impulsive non-Gaussian clutter

Adaptive Ozturk-based receivers for small signal detection i...

引用

Proceedings of the 1999 signal and data processing of small targets

作者： Stadelman, Dennis L. Keckler, Andrew D. Weiner, Donald D. Syracuse Univ Syracuse United States

Gaussian receivers perform poorly in detecting small targets in non-Gaussian clutter, but significant improvement is available by using an appropriate non-Gaussian receiver. Selection of the proper receiver requires an adequate characterization of the unknown probability density function (PDF) of the clutter. In applications where the clutter environment changes and a limited number of homogeneous samples are available to approximate the PDF, an efficient algorithm is essential. The Ozturk PDF approximation algorithm satisfies this requirement, needing on the order of 100 samples from the PDF to be approximated. Significant new results in the application of the Ozturk algorithm to small signal detection are presented. The clutter data are modeled as spherically invariant random vectors (SIRVs). Generalized likelihood ratio test receivers are adaptively selected based on the PDF approximations determined by the Ozturk algorithm. Simulation results are presented which show the effective performance of this adaptive Ozturk-based receiver. Approximation charts for use with the Ozturk algorithm are given for several types of SIRVs, including those with Weibull, Chi, and K-distributed marginal PDFs. Control of the false alarm rate is a significant concern, particularly since the Ozturk algorithm cannot approximate the tail of the clutter PDF well from on the order of 100 points. However, for some important cases of interest, the nonlinear nature of the non-Gaussian receivers is shown to cause most false alarms to arise from a small percentage of points within the body of the input clutter PDF. An easily understood graphical representation provides a guide to the conditions that must be satisfied if the Ozturk-based receiver is to maintain the desired false alarm rate.

关键词： Radar target recognition

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