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CART V: Recent advancements in computer aided camouflage assessment

: Müller, T.; Müller, M.

Postprint urn:nbn:de:0011-n-1811517 (3.5 MByte PDF)
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Copyright 2011 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Erstellt am: 15.10.2011

Holst, G.C. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Infrared imaging systems: Design, analysis, modeling, and testing XXII : 26 - 28 April 2011, Orlando, Florida, United States
Bellingham, WA: SPIE, 2011 (Proceedings of SPIE 8014)
ISBN: 978-0-8194-8588-5
Paper 80140X
Conference "Infrared Imaging Systems - Design, Analysis, Modeling, and Testing" <22, 2011, Orlando/Fla.>
Defense, Security and Sensing Symposium <2011, Orlando/Fla.>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
image exploitation; camouflage assessment; template matching; cross correlation; semi-automatic annotation; ATD; MTI; multi sensor; visual; infrared; SAR image data; multispectral camouflage

In order to facilitate systematic, computer aided improvements of camouflage and concealment assessment methods, the software system CART (Camouflage Assessment in Real-Time) was built up for the camouflage assessment of objects in multispectral image sequences (see contributions to SPIE 2007-2010 [1], [2], [3], [4]). It comprises a semi-automatic marking of target objects (ground truth generation) including their propagation over the image sequence and the evaluation via user-defined feature extractors as well as methods to assess the object's movement conspicuity. In this fifth part in an annual series at the SPIE conference in Orlando, this paper presents the enhancements over the recent year and addresses the camouflage assessment of static and moving objects in multispectral image data that can show noise or image artefacts. The presented methods fathom the correlations between image processing and camouflage assessment. A novel algorithm is presented based on template matching to assess the structural inconspicuity of an object objectively and quantitatively. The results can easily be combined with an MTI (moving target indication) based movement conspicuity assessment function in order to explore the influence of object movement to a camouflage effect in different environments. As the results show, the presented methods contribute to a significant benefit in the field of camouflage assessment