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Multi-scale camouflage

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From Wikipedia, the free encyclopedia
Type of camouflage that combines patterns

TheCanadian Forces were the first army to issuepixellated digital multi-scalecamouflage for all units with their disruptively patternedCADPAT, issued in 2002, shown here in its 'Temperate Woodland' variant.

Multi-scale camouflage is a type ofmilitary camouflage combining patterns at two or more scales, often (though not necessarily) with adigital camouflage pattern created with computer assistance. The function is to providecamouflage over a range of distances, or equivalently over arange of scales (scale-invariant camouflage), in the manner offractals, so some approaches are calledfractal camouflage. Not all multiscale patterns are composed ofrectangular pixels, even if they were designed using a computer. Further, not all pixellated patterns work at different scales, so being pixellated or digital does not of itself guarantee improved performance.

The first standardized pattern to be issued was the single-scale Italiantelo mimetico. The root of the modern multi-scale camouflage patterns can be traced back to 1930s experiments in Europe for theGerman andSoviet armies. This was followed by the Canadian development of the Canadian Disruptive Pattern (CADPAT), first issued in 2002, and then with US work which created the Marine pattern (MARPAT), launched between 2002 and 2004.

Principle

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TheUniversal Camouflage Pattern provided insufficient contrast todisrupt a soldier's outline effectively, appearing at a moderate distance as a single colour.

Scale invariance

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The scale of camouflage patterns is related to their function. Large structures need larger patterns than individual soldiers to disrupt their shape. At the same time, large patterns are more effective from afar, while small scale patterns work better up close.[1] Traditional single scale patterns work well in their optimal range from the observer, but an observer at other distances will not see the pattern optimally. Nature itself is very oftenfractal, where plants and rock formations exhibit similarpatterns across several magnitudes of scale. The idea behind multi-scale patterns is both to mimic theself-similarity of nature, and also to offerscale invariant or so-called fractal camouflage.[2][3]

Animals such as theflounder have the ability toadapt their camouflage patterns to suit the background, and they do so extremely effectively,[4] selecting patterns that match the spatial scales of the current background.[4]

Design trade-offs

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Operational Camouflage Pattern, a disruptive but non-pixellated pattern, replaced the Universal Camouflage Pattern beginning in 2015.

A pattern being called digital most often means that it is visibly composed of computer-generatedpixels.[5] The term is sometimes also used of computer generated patterns like the non-pixellatedMultiCam and the Italian fractalVegetato pattern.[6] Neither pixellation nor digitization contributes to the camouflaging effect. The pixellated style, however, simplifies design and eases printing on fabric, compared to traditional patterns. While digital patterns are becoming widespread, critics maintain that the pixellated look is a question of fashion rather than function.[7]

The design process involves trading-off different factors, including colour, contrast, and overall disruptive effect. A failure to consider all elements of pattern design tends to result in poor results. The US Army'sUniversal Camouflage Pattern (UCP), for example, adopted after limited testing in 2003 and 2004, performed poorly because of low pattern contrast (isoluminance—beyond very close range, the design looks like a field of solid light grey, failing todisrupt an object's outlines) and arbitrary colour selection, neither of which could be saved by quantizing (digitizing) the pattern geometry.[8][9] The design was replaced from 2015 with theOperational Camouflage Pattern, a non-pixellated pattern.[10][11]

History

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ItalianTelo mimetico, first used in 1929

Interwar development in Europe

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The idea of patterned camouflage extends back to theinterwar period in Europe. The first printed camouflage pattern was the 1929 Italiantelo mimetico, which used irregular areas of three colours at a single scale.[12]

German WWII experiments

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Waffen-SS 1944Erbsenmuster (pea-dot pattern) combines large and small scale patterns.
Main article:German World War II camouflage patterns

During the Second World War,Johann Georg Otto Schick[a] designeda series of patterns such asPlatanenmuster (plane tree pattern) andErbsenmuster (pea-dot pattern) for theWaffen-SS, combining micro- and macro-patterns in one scheme.[13][14]

Soviet WWII experiments

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Pixel-like shapes pre-datecomputer-aided design by many years, already being used in Soviet Union experiments with camouflage patterns, such as "TTsMKK"[b] developed in 1944 or 1945. The pattern uses areas of olive green, sand, and black running together in broken patches at a range of scales.[15]

1976 research by Timothy O'Neill

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In 1976,Timothy O'Neill created a pixellated pattern named "Dual-Tex". He called the digital approach "texture match". The initial work was done by hand on a retired M113armoured personnel carrier; O'Neill painted the pattern on with a 2-inch (5.1 cm) roller, forming squares of colour by hand. Field testing showed that the result was good compared to the U. S. Army's existingcamouflage patterns, and O'Neill went on to become an instructor and camouflage researcher atWest Point military academy.[16][9]

2000s fractal-like digital patterns

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Patterns in nature, like thefoliage of thisBuxus sempervirens bush, are often broken into visual elements with small and large scales, such as branches and leaves.

By 2000, development was underway to create pixellated camouflage patterns forcombat uniforms like theCanadian Forces'CADPAT, which was developed in 1997 and later issued in 2002, and then the US Marines'MARPAT, rolled out between 2002 and 2004. The CADPAT and MARPAT patterns were somewhatself-similar (in the manner of fractals and patterns in nature such as vegetation), designed to work at two different scales. A genuinely fractal pattern would be statistically similar at all scales. A target camouflaged with MARPAT takes about 2.5 times longer to detect than olderNATO camouflage which worked at only one scale, while recognition, which begins after detection, took 20 percent longer than with older camouflage.[17][18][19]

Fractal-like patterns work because the human visual system efficiently discriminates images that have differentfractal dimension or other second-order statistics likeFourierspatial amplitude spectra; objects simply appear to pop out from the background.[17] Timothy O'Neill helped theMarine Corps to develop first a digital pattern for vehicles, then fabric for uniforms, which had two colour schemes, one designed for woodland, one for desert.[9]

Notes

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  1. ^Schick (1882–) was a professor in Munich in the 1930s, and from 1935 director of the newly formed camouflage department (named "T" for "Tarnung", camouflage).
  2. ^TTsMKK (Russian:ТЦМКК) is short for "three-colour disguise camouflage suit" ("трёхцветный маскировочный камуфлированный костюм",tryokhtsvetniy maskirovochniy kamuflirovanniy kostyum).[15]

References

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  1. ^Craemer, Guy."Dual Texture - U.S. Army digital camouflage". United Dynamics Corp. Archived from the original on 27 September 2013. Retrieved27 September 2012.
  2. ^Hambling, David (8 May 2012)."Invisibility cloaks are almost a reality with fractal-camouflage clothing".Wired. No. June 2012.
  3. ^Vergun, David."Army testing combat boots, camouflage patterns". United States Army. Retrieved28 April 2014.
  4. ^abAkkaynak, Derek; et al. (March 2017)."Changeable camouflage: how well can flounder resemble the colour and spatial scale of substrates in their natural habitats?".Royal Society Open Science.4 (3): 160824.Bibcode:2017RSOS....460824A.doi:10.1098/rsos.160824.PMC 5383827.PMID 28405370.Our results show that all flounder and background spectra fall within the same colour gamut and that, in terms of different observer visual systems, flounder matched most substrates in luminance and colour contrast.
  5. ^Craemer, Guy (2007)."CADPAT or MARPAT Camouflage".Who did it first; Canada or the US?. Hyperstealth. RetrievedFebruary 3, 2012.
  6. ^Strikehold (2010)."Making Sense of Digital Camouflage". Strikehold. Archived fromthe original on 30 November 2012. Retrieved2 September 2012.
  7. ^Engber, D. (5 July 2012)."Lost in the Wilderness, the military's misadventures in pixellated camouflage".Slate. Retrieved27 September 2012.
  8. ^Hu, Caitlin (2016)."The Art and Science of Military Camouflage".Works That Work (7). Retrieved8 March 2017.
  9. ^abcKennedy, Pagan (10 May 2013)."Who Made That Digital Camouflage?".The New York Times.Archived from the original on Jan 5, 2024.
  10. ^Vergun, David (31 March 2014)."Army testing combat boots, camouflage patterns". U.S. Army. Retrieved22 April 2014.
  11. ^"Army Combat Uniform Summary of Changes"(PDF). US Army. Retrieved1 April 2017.
  12. ^Verny, Eric; Bocek, Jonathan."Italian Camouflage". Der Erste Zug. Retrieved14 September 2016.
  13. ^Peterson, D. (2001).Waffen-SS Camouflage Uniforms and Post-war Derivatives. Crowood. p. 64.ISBN 978-1-86126-474-9.
  14. ^"Schick, Johann Georg Otto (1882-)". Kalliope-Verbund. Retrieved29 March 2016.
  15. ^abDougherty, Martin J. (2017)."Chapter 2: Infantry Camouflage in the Modern Era". In Spilling, Michael (ed.).Camouflage At War: An Illustrated Guide from 1914 to the Present Day. London: Amber Books. p. 69.ISBN 978-1-78274-498-6.
  16. ^Fusco, Vincent (3 June 2010)."West Point explores science of camouflage". U. S. Army. Retrieved24 August 2017.
  17. ^abBillock, Vincent A; Cunningham, Douglas W.; Tsou, Brian H (2010). Andrews, Dee H.; Herz, Robert P.; Wolf, Mark B. (eds.).Human Factors Issues in Combat Identification. What Visual Discrimination of Fractal Textures Can Tell Us about Discrimination of Camouflaged Targets. Ashgate. pp. 99–101.ISBN 9781409486206.
  18. ^Billock, Vincent A.; Cunningham, Douglas W.; Tsou, Brian H.,What Visual Discrimination Of Fractal Textures Can Tell Us About Discrimination Of Camouflaged Targets, pp. 99–112,CiteSeerX 10.1.1.570.3015 Presented at the Human Factors Issues in Combat Identification Workshop, Gold Canyon, Arizona, May 13, 2008.
  19. ^O’Neill, T., Matthews, M., & Swiergosz, M. (2004). Marine Corps innovative camouflage. Midyear meeting of the American Psychological Association, Divisions 19 & 21. Supplementary data athttp://www.hyperstealth.com/digital-design/index.htm
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