Relevant bibliographies by topics / Optical radar

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  1. Dissertations / Theses

Academic literature on the topic 'Optical radar'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 July 2024

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Dissertations / Theses on the topic "Optical radar"

1

Raghavan, V. P. "High precision laser radar tracking device /." Online version of thesis, 1991. http://hdl.handle.net/1850/11453.

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2

Weverka, Robert T. "Optical signal processing of phased array radar." Diss., Connect to online resource, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3207762.

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3

Seeger, Mauritius. "3-D imaging using optical coherence radar." Thesis, University of Kent, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263698.

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BRUHNS, THOMAS VICTOR. "HARDWARE AND SOFTWARE FOR A COMPUTER CONTROLLED LIDAR SYSTEM." Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/188042.

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The hardware and software for a computer controlled optical radar, or lidar, system are described. The system builds on a previously installed pulsed ruby backscatter lidar, capable of acquiring data at controlled azimuth and elevation angles through the atmosphere. The described system replaces hardwired logic with computer control. Two coupled computers are used to allow a degree of real time control while data are processed. One of these computers reads and controls mount elevation angle, reads the laser energy monitor, and senses firing of the laser. The other computer serves as a user int
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Helt, Michael F. "Vegetation identification with Lidar." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Sep%5FHelt.pdf.

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6

Gast, David W. "LIDAR design for space situational awareness." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://edocs.nps.edu/npspubs/scholarly/theses/2008/Sept/08Sep%5FGast.pdf.

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Thesis (M.S. in Astronautical Engineering)--Naval Postgraduate School, September 2008.<br>Thesis Advisor(s): Agrawal, Brij N. ; Boger, Dan C. "September 2008." Description based on title screen as viewed on November 3, 2008. Includes bibliographical references (p. 79-80). Also available in print.
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Xu, Cuichun. "Statistical processing on radar, sonar, and optical signals /." View online ; access limited to URI, 2008. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3328735.

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8

Hartup, David Carl. "Emitter identification using optical processors." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/15672.

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9

Leeson, Michael J. "The application of quasi-optical techniques to millimetre wave radar." Thesis, University of St Andrews, 1993. http://hdl.handle.net/10023/2774.

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The application of Quasi Optical techniques has been of great benefit to the field of instrumentation for frequencies between 750Hz and several hundred OHz. The application of Quasi Optical techniques to millimetre wave radar, described in this thesis, has produced an FMCW Doppler radar capable of operation at 940Hz and 1400Hz. Total polarization agility and a capability to operate over a very wide bandwidth is demonstrated. Quasi Optical circuits are proposed as solutions for many of the system requirements, and these are fully analyzed. Significant benefits of these techniques are demonstrat
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10

Kim, Jungwhan John. "Road detection on radar imagery." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/53080.

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A facet based road network detection procedure is described for radar imagery. The procedure includes a line detection part and a road detection and connection part. The line detection part analytically detects linear features using a facet Valley finding technique. Valleys are defined as zero crossings of the first directional derivatives of a bicubic facet model taken in a direction extremizing the second directional derivative. The road detection and connection part statistically screens the linear features on a component by component basis, and then optimally connects the screened linear f
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