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Friday, May 1, 2020 | History

4 edition of Modelling, simulation, and calibration of space-based systems found in the catalog.

Modelling, simulation, and calibration of space-based systems

15 April, 2004, Orlando, Florida, USA

by

  • 10 Want to read
  • 27 Currently reading

Published by SPIE in Bellingham, Wash., USA .
Written in English

    Subjects:
  • Remote sensing -- Congresses.,
  • Space interferometry -- Congresses.,
  • Aerosols -- Remote sensing -- Congresses.,
  • Space-based radar -- Congresses.

  • Edition Notes

    Includes bibliographical references and author index.

    StatementPejmun Motaghedi, chair/editor ; sponsored and published by SPIE--the International Society for Optical Engineering.
    GenreCongresses.
    SeriesSPIE proceedings series,, v. 5420, Proceedings of SPIE--the International Society for Optical Engineering ;, v. 5420.
    ContributionsMotaghedi, Pejmun., Society of Photo-optical Instrumentation Engineers.
    Classifications
    LC ClassificationsG70.4 .M635 2004
    The Physical Object
    Paginationviii, 144 p. :
    Number of Pages144
    ID Numbers
    Open LibraryOL3439309M
    ISBN 100819453439
    LC Control Number2005298619
    OCLC/WorldCa57379635

    The latest review articles from our journals. IOP Conference Series Distributed Systems Engineering () Convergent Science Physical Oncology ( to date) Modelling and Simulation in Materials Science and Engineering ( to date) Nanotechnology ( to date). A detailed numerical calibration of shock pressure in the gap test configuration for characterizing non-ideal energetic materials. Modelling and Simulation of Engines and Propulsion Systems I • Monday, 27 July • hrs. Modelling and Simulation of Engines and Propulsion Systems II • Monday, 27 July • hrs. Proc. SPIE , Sensors, Systems, and Next-Generation Satellites XIV, (27 October ); doi: / Modelling the diffusion signal. On the left, diffusion ellipsoids from the diffusion tensor model describe the average diffusion profile within a voxel and provide information for a single dominant fibre orientation. The aim of most q‐space‐based methods is to recover .


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