End-to-end performance modeling of passive remote sensing systems

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The ultimate goal of end-to-end system modeling is to simulate all known physical effects which determine the content of the data, before flying an instrument system. In remote sensing, one begins with a scene, viewed either statistically or dynamically, computes the radiance in each spectral band, renders the scene, transfers it through representative atmospheres to create the radiance field at an aperture, and integrates over sensor pixels. We have simulated a comprehensive sequence of realistic instrument hardware elements and the transfer of simulated data to an analysis system. This analysis package is the same as that intended for use of ... continued below

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5 p.

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Smith, B.W.; Borel, C.C.; Clodius, W.B.; Theiler, J.; Laubscher, B. & Weber, P.G. July 1, 1996.

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Description

The ultimate goal of end-to-end system modeling is to simulate all known physical effects which determine the content of the data, before flying an instrument system. In remote sensing, one begins with a scene, viewed either statistically or dynamically, computes the radiance in each spectral band, renders the scene, transfers it through representative atmospheres to create the radiance field at an aperture, and integrates over sensor pixels. We have simulated a comprehensive sequence of realistic instrument hardware elements and the transfer of simulated data to an analysis system. This analysis package is the same as that intended for use of data collections from the real system. By comparing the analyzed image to the original scene, the net effect of nonideal system components can be understood. Iteration yields the optimum values of system parameters to achieve performance targets. We have used simulation to develop and test improved multispectral algorithms for (1) the robust retrieval of water surface temperature, water vapor column, and other quantities; (2) the preservation of radiometric accuracy during atmospheric correction and pixel registration on the ground; and (3) exploitation of on-board multispectral measurements to assess the atmosphere between ground and aperture.

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5 p.

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OSTI as DE96010938

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  • 10. SPIE`s international symposium on aerospace/defense sensing and controls, Orlando, FL (United States), 8-12 Apr 1996

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  • Other: DE96010938
  • Report No.: LA-UR--96-1360
  • Report No.: CONF-9604105--13
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 256787
  • Archival Resource Key: ark:/67531/metadc665695

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  • July 1, 1996

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

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  • Feb. 25, 2016, 4:17 p.m.

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Smith, B.W.; Borel, C.C.; Clodius, W.B.; Theiler, J.; Laubscher, B. & Weber, P.G. End-to-end performance modeling of passive remote sensing systems, article, July 1, 1996; New Mexico. (digital.library.unt.edu/ark:/67531/metadc665695/: accessed April 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.