MATISSE-v1.5 and MATISSE-v2.0: new developments and comparison with MIRAMER measurements

Pierre Simoneau; Karine Caillault; Sandrine Fauqueux; Thierry Huet; Luc Labarre; Claire Malherbe; Bernard Rosier

doi:10.1117/12.818473

22 April 2009 MATISSE-v1.5 and MATISSE-v2.0: new developments and comparison with MIRAMER measurements

Pierre Simoneau, Karine Caillault, Sandrine Fauqueux, Thierry Huet, Luc Labarre, Claire Malherbe, Bernard Rosier

Proceedings Volume 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX; 73000L (2009) https://doi.org/10.1117/12.818473
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

MATISSE is a background scene generator developed for the computation of natural background spectral radiance images and useful atmospheric radiatives quantities (radiance and transmission along a line of sight, local illumination, solar irradiance ...). The spectral bandwidth ranges from 0.4 to 14 μm. Natural backgrounds include atmosphere (taking into account spatial variability), low and high altitude clouds, sea and land. The current version MATISSE-v1.5 can be run on SUN and IBM workstations as well as on PC under Windows and Linux environment. An IHM developed under Java environment is also implemented. MATISSE-v2.0 recovers all the MATISSE-v1.5 functionalities, and includes a new sea surface radiance model depending on wind speed, wind direction and the fetch value. The release of this new version in planned for April 2009. This paper gives a description of MATISSE-v1.5 and MATISSE-v2.0 and shows preliminary comparison results between generated images and measured images during the MIRAMER campaign, which hold in May 2008 in the Mediterranean Sea.

Citation Download Citation

Pierre Simoneau, Karine Caillault, Sandrine Fauqueux, Thierry Huet, Luc Labarre, Claire Malherbe, and Bernard Rosier "MATISSE-v1.5 and MATISSE-v2.0: new developments and comparison with MIRAMER measurements", Proc. SPIE 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, 73000L (22 April 2009); https://doi.org/10.1117/12.818473

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