This paper describes infrared (IR) scene generation and validation activities at the U.S. Army Aviation and Missile Command's (AMCOM) Dual-Mode Hardware-in-the-Loop (HWIL) Simulation. The HWIL simulation validatio...
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ISBN:
(纸本)0819436534
This paper describes infrared (IR) scene generation and validation activities at the U.S. Army Aviation and Missile Command's (AMCOM) Dual-Mode Hardware-in-the-Loop (HWIL) Simulation. The HWIL simulation validation results are based on comparison of infrared seeker data collected in the HWIL simulation to infrared seeker data collected during captive flight tests (CFTs). Use of CFT data allows a simulation developer to quantify not only the radiometric fidelity of the simulation inputs, but also the effects that any limitations of the inputs may have on simulation validity with respect to a particular seeker and its algorithms. validation of this type of simulation is a complex process and all aspects of the validation are covered. Topics include real-time IR signature modeling and validation, simulation output verification, projected energy verification, and total end-to-end simulation validation. Also included are descriptions of the different types of CFT scenarios necessary for simulation validation and the comparison methodologies used for each case.
The aging sanitary sewer systems of North America are compelling municipalities to consider taking pro-active steps to anticipate rehabilitation needs of sewer pipes rather than reacting to crisis repairs. Effective a...
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ISBN:
(纸本)0921303912
The aging sanitary sewer systems of North America are compelling municipalities to consider taking pro-active steps to anticipate rehabilitation needs of sewer pipes rather than reacting to crisis repairs. Effective and economical management of a pipeline system involves the assessment of its present structural condition, and the successful prediction of its service condition to meet present and future demands. An effective condition prediction model will allow the utility manger to optimize their capital and maintenance budgets by identifying when a repair or replacement is economically justified. Sinha (Sinha, et. al, 1999), has developed an automatic assessment system using the digitized data provided by the recently developed Sewer Scanner and Evaluation Technology (SSET) camera. Automated condition assessments can synthesized with the condition prediction model developed by Kathula (Kathula, et. al, 1999) at the Trenchless Technology Center of Louisiana Tech University. This paper will look at the potential integration of the digital imageprocessingalgorithms developed for the detection of defects, the artificial intelligence techniques for classification of these defects, the Markov chain probability based method for condition prediction, and the computing platform for integrating these systems.
In this paper the method of image compression is presented. It is designed for data processing in real-time systems of remote sensing. In the midpoint there are compression algorithm based on component transformation ...
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ISBN:
(纸本)0769507506
In this paper the method of image compression is presented. It is designed for data processing in real-time systems of remote sensing. In the midpoint there are compression algorithm based on component transformation with pixel interpolation and algorithm of stabilization of encoded image forming speed, which provide high compression ratio, stable speed of an output data flow and controlled error of image reconstruction.
This article summarizes the results of our research aimed to the development of methods, algorithms, and software for image acquisition, digital processing, and creation of textual-graphical databases of archival phot...
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This article summarizes the results of our research aimed to the development of methods, algorithms, and software for image acquisition, digital processing, and creation of textual-graphical databases of archival photo-documents and an integrated system for processing and archiving of photo-documents. The developed methods, algorithms, and software tools were successfully tested under creation of textual-graphical databases. These databases have started the conversion process of unique collections accumulated and stored at the different organizations of the Russian Academy of Sciences into the digital form.
Multimodal speech processing in which visual facial features are jointly processed with audio features is a rapidly advancing field. Lip movements and configurations provide useful information to improve speech and sp...
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ISBN:
(纸本)0769507506
Multimodal speech processing in which visual facial features are jointly processed with audio features is a rapidly advancing field. Lip movements and configurations provide useful information to improve speech and speaker recognition. However, the use of this visual information requires accurate and fast lip tracking algorithms. A new technique is outlined that is able to estimate the outer lip contour directly from a given lip intensity imagevia linear regression. This estimate can be improved by a active shape model that is able to track a speakers lips without requiring time consuming iterative energy minimization techniques. Results of performance are presented against known tracking algorithms using the M2vTS database.
The work presents a new method for image compression, using tritree decomposition (TT). TT was originally proposed by Wille (1992) for generation of non-structured finite element meshes for numerical solution of diffe...
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The work presents a new method for image compression, using tritree decomposition (TT). TT was originally proposed by Wille (1992) for generation of non-structured finite element meshes for numerical solution of differential equation systems. TT decomposition is similar to quadtree decomposition (QT), which has been broadly used by imageprocessingalgorithms, mainly for segmentation and compression. However, while QT subdivides the image into progressively smaller quadratic regions, TT decomposition subdivides the image into triangular regions. The goal is to segment the image into a set of triangular homogeneous regions, where the differences among the pixel values don't exceed a certain threshold. A tree is built to represent the decomposition. Each triangle will be a node of the tree TT. The initial triangle, that contains the whole image, is the root of the tree. The final triangles, representing the compressed image, are the leaves of the tree. Reconstruction of the image is accomplished by planar interpolation among the vertices of each triangular leaf.
This article deals with image restoration of blurred images. General techniques for solving of the restoration problem are considered. The developed multifunctional model of image formation and restoration systems is ...
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This article deals with image restoration of blurred images. General techniques for solving of the restoration problem are considered. The developed multifunctional model of image formation and restoration systems is presented. This digital model is used as a main tool for the experimental implementation and comparison of the described restoration methods and algorithms.
A fruitful field of cellular neural net (CNN) research is the development of analogic algorithms utilizing combinations of single templates to perform complex imageprocessing task; dedicated to industrial application...
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A fruitful field of cellular neural net (CNN) research is the development of analogic algorithms utilizing combinations of single templates to perform complex imageprocessing task; dedicated to industrial applications, vision problems in robotics, pattern analysis, etc. In this work a software implementation for the automatic generation of analogic algorithms by mean of a genetic search is presented First, we briefly present an improved automatic templates generation. Next, an algorithm for generating templates in cascade will be showed like the natural and original extension of the already known tool. Lastly, the multitemplate tree concept derived from the AI field is applied in the automatic generation of analog algorithms, and its solution based in both genetic evolutionary search and heuristic methods are exposed.
One of the critical elements in the radar imagery in scattering natural media (turbulent atmosphere) is the problem of developing the system-oriented statistical signal processing techniques exploiting in some optimal...
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One of the critical elements in the radar imagery in scattering natural media (turbulent atmosphere) is the problem of developing the system-oriented statistical signal processing techniques exploiting in some optimal way all the available "degrees of freedom" of the image formation method. Control of these degrees of freedom is the hope for solving many existing algorithm design and system-level problems that cause the ill-posed nature of the radar image formation and restoration tasks. We address a new approach to radar imaging (RI) problems stated and treated as ill-posed problems of restoring the extended object power scattering function by processing the data signals distorted in a stochastic measurement channel. We exploit the idea of combining/fusing the experiment design and descriptive regularization theory methods for inverse problems solution. The developed RI algorithms are illustrated with the simulation results.
In the automotive sector, a strong need for external sensors has developed to gather data about the vehicles environment, e.g., for collision avoidance or vehicle guidance. Laser scanners are an ideal choice for a sta...
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In the automotive sector, a strong need for external sensors has developed to gather data about the vehicles environment, e.g., for collision avoidance or vehicle guidance. Laser scanners are an ideal choice for a stand-alone sensor system or to supplement an existing system. IBEO has introduced the LD A AF, a sensor being cost-effective and easy to use, while offering long range and high precision. This sensor creates a high-resolution image of the surrounding area. The built-in signal processing includes a complete object detection and tracking algorithm. This algorithm converts the measured data into objects with parameters like size and speed. The objects are sent to the host computer via a CAN interface. Several configurable parameters allow an easy adaption to different environmental situations, e.g., indoor or outdoor use with low or high vehicle speeds, and multiple output formats.
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