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Wednesday, May 6, 2020 | History

6 edition of Advances in Image Compression and Automatic Target Recognition found in the catalog.

Advances in Image Compression and Automatic Target Recognition

by Andrew G. Tescher

  • 247 Want to read
  • 32 Currently reading

Published by SPIE-International Society for Optical Engine .
Written in English

    Subjects:
  • Data Processing - Optical Data Processing,
  • Electronic Warfare,
  • Radar Technology,
  • Computer Bks - General Information,
  • Science/Mathematics

  • Edition Notes

    SeriesSpie Proceedings, Vol 1099
    The Physical Object
    FormatPaperback
    Number of Pages267
    ID Numbers
    Open LibraryOL11392597M
    ISBN 100819401358
    ISBN 109780819401359
    OCLC/WorldCa20511475

    Multidimensional Automatic Target Recognition System Evaluation An Efficient MRF Image-Restoration Technique Using Deterministic Scale-Based Optimization Machine Intelligent Automatic Recognition of Critical Mobile Targets in Laser Radar Imagery. About the Author—HARRY WECHSLER received the Ph.D. in Computer Science from the University of California, Irvine, in , and he is presently Professor of Computer Science at George Mason research on intelligent systems has been in the areas of PERCEPTION: Computer Vision, Automatic Target Recognition, Signal and Image Processing, MACHINE INTELLIGENCE: Pattern Recognition Cited by:

    Image compression applications make it easier to compress images. The compression tools are user friendly and can be used by anyone with minimal knowledge. The images are compressed just by selecting the images and setting the options. One even gets to choose the algorithms for compressing images and hence have the control over the output image. Differential pulse code modulation (DPCM) is a predictive coding scheme which has been studied extensively. This paper describes an adaptive DPCM compression scheme which is based on an algorithm used in National Image Transmission Format (NITF). This scheme estimates the pixel values using linear and bilinear interpolations. It allows more bits to be assigned to pixels in the noisy areas of.

    Abstract. Van Gael J., Suetens P., Fierens F., Wambacq P., Oosterlinck A., "Recognition of cars on color aerial images for traffic analysis", Proceedings SPIE Author: J. T. Van Gael, P. Suetens, F. Fierens, P. Wambacq, A. Oosterlinck.   Advances in image compression and automatic target recognition; Proceedings of the Meeting, Orlando, FL, Mar. 30, 31, Conference Tescher, A.G. Various papers on image compression and automatic target recognition are presented.


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Advances in Image Compression and Automatic Target Recognition by Andrew G. Tescher Download PDF EPUB FB2

Advances in image compression and automatic target recognition: MarchOrlando, Florida Author: Andrew G Tescher ; Society of Photo-optical Instrumentation Engineers. Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines contributions from field experts to deliver a comprehensive account of the latest developments in signal processing.

These experts detail the results of their research related to audio and speech enhancement, acoustic image estimation, video compression, biometric recognition, hyperspectral image analysis Format: Hardcover.

adshelp[at] The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A. 4 Unification of Automatic Target Tracking and Automatic Target Recognition Introduction Categories of Tracking Problems Number of targets Size of targets Sensor type Target type Tracking Problems Point target tracking Video tracking Extensions of Target Tracking Activity recognition (AR).

Individual topics addressed include: target cluster detection in cluttered SAR imagery, model-based target recognition using laser radar imagery, Smart Sensor front-end processor for feature extraction of images, object attitude estimation and tracking from a single video sensor, symmetry detection in human vision, analysis of high resolution aerial images for object detection, obscured object recognition Author: Andrew G.

Tescher. Advances in image compression and automatic target recognition; Proceedings of the Meeting, Orlando, FL, Mar. 30, 31, Author(eng) Tescher, Andrew G. Author Affiliation(eng) Lockheed Missiles and Space Co.

Issue Date: Language: eng: Description: Various papers on image compression and automatic target recognition are presented. The second edition of this book has been replaced by the third edition.

See TT This second edition of Automatic Target Recognition provides an inside view of the automatic target recognition (ATR) field from the perspective of an engineer working in the field for 40 algorithm descriptions and testing procedures covered in the book are appropriate for addressing military problems.

Proc. SPIEAdvances in Image Compression and Automatic Target Recognition, pg 17 (5 September ); doi: / Autonomous target recognition can be assisted by using CO2 laser radar data which contains 3-D information of the scene viewed from the sensor.

Advances in Pattern Recognition Algorithms, Architectures, and Devices Mohammad S. Alam, FELLOW SPIE an image compression algorithm to achieve a high com- automatic target recognition systems.

This technique has. In the field of automatic target recognition and tracking, traditional image metrics focus on single images, ignoring the sequence information of multiple images. Physics of Automatic Target Recognition addresses the fundamental physical bases of sensing, and information extraction in the state-of-the art automatic target recognition field.

It explores both passive and active multispectral sensing, polarimetric diversity, complex signature exploitation, sensor and processing adaptation, transformation of electromagnetic and acoustic waves in their Format: Hardcover. In this paper, we present an intelligent image compression system whereby regions of interest (ROI) and background information are coded independently of each other.

We apply less compression (more bits) to regions of interest (targets), and more compression (fewer bits) to background : Lei Ma, Min Ahn Q Vong, Glen P.

Abousleman, Jennie Si. Abstract Autonomous target recognition can be assisted by using CO2 laser radar data which contains 3-D information of the scene viewed from the sensor. Using efficient image processing algorithms such as the Hough transform, the orientations and dimensions of the target can be calculated.

Physics of Automatic Target Recognition addresses the fundamental physical bases of sensing, and information extraction in the state-of-the art automatic target recognition field. It explores both passive and active multispectral sensing, polarimetric diversity, complex signature exploitation, sensor and processing adaptation, transformation of electromagnetic and acoustic waves in their.

Book Description. Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines contributions from field experts to deliver a comprehensive account of the latest developments in signal processing. These experts detail the results of their research related to audio and speech enhancement, acoustic image estimation, video.

This second edition of Automatic Target Recognition provides an inside view of the automatic target recognition (ATR) field from the perspective of an engineer working in the field for 40 years.

The algorithm descriptions and testing procedures covered in the book are appropriate for addressing military problems. Proc. SPIE Vol.p.Advances in Image Compression and Automatic Target Recognition, Andrew G.

Tescher; Ed. (SPIE Homepage) Publication Date: 09/ Origin: Bibliographic Code: SPIEM: Abstract Technology has evolved to the point that image sequences can be captured, compressed, transmitted, decompressed, and. The following is a summary of recognition techniques in this dissertation: (1) nonlinear matched filtering and photon counting linear discriminant analysis with photon counting integral imaging for automatic target recognition, (2) thickness feature evaluation method to identify filamentous structure of microorganisms, (3) three-dimensional.

Preprocessing is performed using moment invariants that are shown to be almost constant for images in which the object is translated in position, rotated, or changed in scale.

These moment invariants are used to train a neural network to identify the aircraft for different aspect by: 4. Dynamic range compression deconvolution for enhancement of Automatic Target Recognition system performance Article in Proceedings of SPIE - The International Society for Optical Engineering.

SPIE Vol Advances in Image Compression and Automatic Target Recognition () / / 89 SP/E Vol. Advances Image Compression and Automatic Target Recognition () 89 It would be very desirable to have a systematic method to incorporate the advantages of the knowledge -based approach advantages of the knowledge-based into connectionist networks.Automatic Target Recognition from Inverse Synthetic Aperture Radar Images: /ch In this chapter, Inverse Synthetic Aperture Radar, a special type of active microwave synthetic aperture radar is introduced and its applications in militaryAuthor: Hari Kishan Kondaveeti, Valli Kumari Vatsavayi.Some of the training algorithms that can be used to construct the code- book include the widely used k-means algorithm [10], and neural network type algorithms.

Chiu, C.; Baker, R.L. Quad tree product vector quantization of images. Proceedings of SPIE,Advances in Image Compression and Automatic Target Recognition: ; March Cited by: