Last edited by Takree
Wednesday, May 13, 2020 | History

4 edition of Detection and identification of visually obscured targets found in the catalog.

Detection and identification of visually obscured targets

  • 366 Want to read
  • 10 Currently reading

Published by Taylor & Francis in Philadelphia, PA .
Written in English

    Subjects:
  • Explosive ordnance disposal -- Technique.,
  • Explosive ordnance disposal -- Safety measures.,
  • Bombing and gunnery ranges -- Waste disposal.,
  • Remote sensing.

  • Edition Notes

    Includes bibliographical references and index.

    Statementedited by Carl Baum.
    SeriesElectromagnetics library, A SUMMA book
    ContributionsBaum, Carl E., 1940-
    Classifications
    LC ClassificationsUF860 .D43 1998
    The Physical Object
    Paginationxvii, 434 p. :
    Number of Pages434
    ID Numbers
    Open LibraryOL364186M
    ISBN 10156032533X
    LC Control Number98024454

      Abstract: This article researches the detection and identification of weak targets under the infrared undulate background, combining the actual test environment of shooting range based on the analysis of the existing image target detection and recognition algorithms limitations. The proposed real-time band-pass filtering algorithms, locally adaptive threshold fusion and segmentation algorithms. state-of-the-art algorithms and approaches to visual concept detection. This includes a discussion of the ImageCLEF large-scale visual concept detection task, which used the MIR Flickr image collection. Next, we present an overview of promising trends and ideas for improving the performance of visual concept classifiers.

    The present study used a visual target detection task introduced by Mason () to avoid the involvement of verbal processes. The task—similar to the report tasks—presented strings of letters, but participants only had to indicate whether a predefined target was included. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI Monday - Thursday 18 - 21 April

    Optical technique for classification, recognition and identification of obscured objects. The resolution was so low (due to defocusing) that visual identification or classification of the two objects was impossible. (detection of obscured objects). The tested object was a toy truck. History and Evolution of the Johnson Criteria Tracy A. Sjaardema, Collin S. Smith, and Gabriel C. Birch Prepared by Sandia National Laboratories Albuquerque, New Mexico and Livermore, California Sandia National Laboratories is a multi-program laboratory managed and operated by .


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Detection and identification of visually obscured targets Download PDF EPUB FB2

This book gives a comprehesive overview on development topics of UXO and mine detection at once without encumbering with physical insight. The contributors represent the top of the scientific 1/5(1).

Beginning with a review of the current need for identification of buried and surface unexplored ordnance such as mines, shells, bombs, this book then explains existing techniques for electromagnetic detection of such by: Detection And Identification Of Visually Obscured Targets - CRC Press Book Beginning with a review of the current need for identification of buried and surface unexplored ordnance such as mines, shells, bombs, this book then explains existing techniques for electromagnetic detection of such targets.

Book Description. Beginning with a review of the current need for identification of buried and surface unexplored ordnance such as mines, shells, bombs, this book then explains existing techniques for electromagnetic detection of such targets.

Offering a review of the need for identification of buried and surface unexplored ordnance such as mines, shells, bombs, this book explains techniques for electromagnetic detection of such targets. It presents a treatment of target signatures (natural frequencies and related parameters) for identification and discrimination of false alarms.

Beginning with a review of the current need for identification of buried and surface unexplored ordnance such as mines, shells, bombs, this book then explains existing techniques for electromagnetic detection of such Detection and identification of visually obscured targets book.

An inversion scheme is presented for spheroidal targets that incorporates fully polarimetric measurements for both magneto-static and electro-dynamic excitations. The performance of the inversion algorithm.

Vision Models for Target Detection and Recognition 1st Edition The analysis of the interaction of the human visual system with night vision devices is not different from the analysis needed in the case of an operator examining structures using a remote (endoscopic) camera, etc.

The book is organized into three general sections. Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI Editor(s): Steven S. Bishop ; Jason C.

Isaacs For the purchase of this volume in printed format, please visit The narrow, high resolution foveal visual field is generally considered the “focus” of our attention, both visual and cognitive. During the day, we scan this visual spotlight all around the environment targeting things like faces, words, images on a package, and a variety of other objects.

Detection and identification thresholds measured for AIT and FT2 only used the homogeneous background. The mean detection and identification thresholds for AIT and the two filter-generated targets were compared to determine if the information contained within the filters' outputs is that which is required for detection and identification of the.

Hybrid electromagnetic models for the purpose of detection and identification of visually obscured targets Article (PDF Available) January with 76 Reads How we measure 'reads'Author: Mojtaba Dehmollaian.

Detection and identification of visually obscured targets. [Carl E Baum] -- Beginning with a review of the current need for identification of buried and surface unexplored ordnance such as mines, shells, bombs, this book then explains existing techniques for electromagnetic.

DMCA Hybrid electromagnetic models for the purpose of detection and identification of visually obscured targets (). The size of the particles retained and also the filterable volume is a direct consequence of the mesh size used.

The mesh sizes used for sampling in previous studies varied between 50 and µm (Hidalgo-Ruz et al. ).Another factor influencing the filtered volume is. Carl E.

Baum has published five books: Transient Lens Synthesis: Differential Geometry in Electromagnetic Theory, Electromagnetic Symmetry, Ultra-Wideband, Short-Pulse Electromagnetics 3, Detection and Identification of Visually Obscured Targets, and Ultra-Wideband, Short-Pulse Electromagnetics 8. An excellent piece on improving the judgement and manual skills associated with making the right call in the first place.

I also think there is a critical need to deal with the extremely over-hyped insecurity that is the critical bread and butter of every fear monger and arms salesman, but the bane of our overall social existence as humans today.

automatic target detection,navigational aids and robotic control provides additional ,we focus Box 1 | Neuronal mechanisms for the control of attention The brain regions that participate in the deployment of visual attention include most of the early visual processing area.A simplified overview of the main brain areas involved is.

Perception & Psychophysics 42 (2), From detection to identification: Response to multiple targets in rapid serial visual presentation DONALD E. BROADBENT and MARGARET H. BROADBENT University ofOxford. If the target is separated from the background then it is down to shape disruption to keep the observer from identifying what he’s looking at as a target.

Target identification is based on the symmetry axis / visual skeleton of the observed object. Johnson's criteria, or the Johnson criteria, created by John Johnson, describe both spatial domain and frequency domain approaches to analyze the ability of observers to perform visual tasks using image intensifier technology.

It was an important breakthrough in evaluating the performance of visual devices and guided the development of future systems.Each activated node runs an energy detection algorithm whose output is sampled at an a priori fixed rate depending on the characteristics of expected targets (see Section ).

Suppose a target enters Cell A. Tracking of the target consists of the following five steps: (a) Some and perhaps all of the nodes in Cell A detect the target.visual search for targets. (clouds, atmospheric attenuation, reflectance factors) of visual detection are discussed briefly and references from which data can be obtained are cited.

A number of laboratory experiments concerning visual detection are described, and It is hypothesized that the sides of the hills are less obscured when they.