The cause of the low recognition ability of the holographic systellis is the "hard" algorithm or activity for the sDecial a priori program. The necessity or such algorithm stipulated secific method of a cohe...
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ISBN:
(纸本)0819411957
The cause of the low recognition ability of the holographic systellis is the "hard" algorithm or activity for the sDecial a priori program. The necessity or such algorithm stipulated secific method of a coherent template-image formir]*** problem can be solved by an intro'luction of the oreprocessirig operation into an ongoing incoherent and template channels in the real time scale, arid by means of synthesis of the template-image with the help of a computer. The .rtlcle deals with the scheme of a holographic processor, ex— tending possibilities of such approach, and the principles. of its design reasization are cpnsidered. The scheme, the photos of the working model and the technical data, received during the engineering tests are also given.
Multitarget, multisensor passive sonar tracing has many similarities to the radar problem. In particular, data association issues are critical to overall system performance when tracking barely detectable acoustic sou...
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ISBN:
(纸本)0819411906
Multitarget, multisensor passive sonar tracing has many similarities to the radar problem. In particular, data association issues are critical to overall system performance when tracking barely detectable acoustic sources in a very cluttered ambient background. The purpose of this paper is to provide an overview of some of the crucial data management issues in passive acoustic tracking for those who are familiar with radar tracking. The problem of associating multiple detections in time to form input sequences to nonlinear target trackers is discussed. The problem of associating these input sequences, or contacts, with particular sources and then assigning the contacts to localization and tracking resources will also be described.
A real-time multiresolutional approach for target tracking is developed in this paper. The wavelet transform is utilized to provide the multiresolutional measurements and bridge information at different resolutional l...
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ISBN:
(纸本)0819411906
A real-time multiresolutional approach for target tracking is developed in this paper. The wavelet transform is utilized to provide the multiresolutional measurements and bridge information at different resolutional levels. The approach is applied to tracking maneuvering targets and novel results are obtained.
Under the Army Night Vision & Electronic Sensors Directorate and the Army Research Laboratory (S3I) sponsored ATR Relational Template Matching (ARTM) program, we have developed a novel model-based forward-look...
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ISBN:
(纸本)0819411930
Under the Army Night Vision & Electronic Sensors Directorate and the Army Research Laboratory (S3I) sponsored ATR Relational Template Matching (ARTM) program, we have developed a novel model-based forward-looking infrared (FLIR) automatic target recognition (ATR) algorithm with superior performance over other model-based and template matching algorithms. The ARTM algorithm represents a significant advance over other approaches because its performance is relatively insensitive to the extreme variations of target signatures in FLIR imagery. The algorithm has been extensively evaluated in Army-sponsored competitive tests on low-depression ground target scenarios. The ARTM algorithm correctly recognizes target signatures at less than one-half the signal-to-noise level required by other approaches. Also the algorithm performs consistently over signature variations with up to 30 percent shape error.
This paper deals with the classification of pen gestures using the learning vector quantization algorithm, a supervised learning technique. Both single stroke and multi stroke gestures are considered. The slope inform...
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ISBN:
(纸本)0819412813
This paper deals with the classification of pen gestures using the learning vector quantization algorithm, a supervised learning technique. Both single stroke and multi stroke gestures are considered. The slope information from the strokes is extensively preprocessed before classification. The preprocessing and the classification algorithms chosen help to obtain very high rates of gesture classification. This is especially true in the multi stroke case. The recognition of the pen gestures is independent of their position, orientation, and size.
We develop a physical model that characterizes the appearance of textured color surfaces in three dimensions. The model is derived from properties of surfaces and the physics of image formation. The color texture mode...
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ISBN:
(纸本)0819411469
We develop a physical model that characterizes the appearance of textured color surfaces in three dimensions. The model is derived from properties of surfaces and the physics of image formation. The color texture model describes the dependence of the spatial correlations within and between bands of a color image on surface reflectance, illumination, and the scene geometry. We show that there are important advantages in using color information for texture analysis. From our model, we derive an algorithm for recognizing instances of color textures independent of scene geometry. This algorithm is useful for the recognition of three dimensional objects and the segmentation of color images of three dimensional scenes. Experimental results are provided to confirm the model and to illustrate the performance of the algorithm.
This paper describes a morphology-based hierarchical process for the detection and segmentation of low and high contrast targets in second generation FLIR imagery. The computational framework is based on the applicati...
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ISBN:
(纸本)0819411930
This paper describes a morphology-based hierarchical process for the detection and segmentation of low and high contrast targets in second generation FLIR imagery. The computational framework is based on the application of simple non-linear binary and grayscale operations that lead to real-time implementations. The process consists of two major processing steps: target-cueing/coarse-segmentation and contour refinement. Our multi-stage detection/segmentation process was applied to both real and simulated FLIR imagery. Preliminary results indicate that the developed morphology-based detector exhibits excellent detection performance for both low and high contrast targets in complex backgrounds while maintaining a low false alarm rate. Contour refinement is based on the watershed transform that is applied in a hierarchical fashion. In addition, our segmenter extracted accurate target outlines under poor conditions in which edge-based techniques or traditional watershed algorithms would have failed.
Some hybrid (analogue—digital) optoelectronic image processing system are considerecL Optical correlation processors with the pro— grammable trans-Formation core forming are proposed. Optical processor operation in ...
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ISBN:
(纸本)0819411957
Some hybrid (analogue—digital) optoelectronic image processing system are considerecL Optical correlation processors with the pro— grammable trans-Formation core forming are proposed. Optical processor operation in the matrix—vector multiplication mode is discussed. A comparision analysis of optical image processors and digital universal and matrix calculators is carried outS.
As detection processing becomes increasingly advanced, for example, in infrared search and track (IRST) systems, the detection threshold becomes the bottleneck to overall system performance. Significantly reducing thi...
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ISBN:
(纸本)0819411906
As detection processing becomes increasingly advanced, for example, in infrared search and track (IRST) systems, the detection threshold becomes the bottleneck to overall system performance. Significantly reducing this threshold requires the capability to track targets in a high clutter environment. In theory, the multiple hypothesis tracking (MHT) algorithm is a solution to this problem. However, in practice, MHT in its basic form becomes computationally prohibitive for all but low to moderate false alarm densities. In this paper, we evaluate a computationally feasible alternate form, which we call a bi-level MHT algorithm. The basic form of this algorithm has been previously proposed, but results on its performance have been lacking. In addition to describing an implementation of a bi-level MHT algorithm, this paper present Monte Carlo simulation results characterizing the performance of the algorithm, and demonstrates the tradeoff between track acquisition range and false track rate for a simple IRST fly-by scenario.
We discuss and present preliminary results about an algorithm which is trained to locate objects in images. The algorithm determines the parameters for a generalized Hough transform based on training images. Our train...
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ISBN:
(纸本)0819411981
We discuss and present preliminary results about an algorithm which is trained to locate objects in images. The algorithm determines the parameters for a generalized Hough transform based on training images. Our training images consist of binary edge images from noisy imagery and identified points and boundaries for the objects being located in this imagery. The resulting generalized Hough transform will find objects of the same type at a wide variety of scales and any orientation present in the training data.
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