Multi-scale camouflage
Multi-scale camouflage is a type of military camouflage combining patterns at two or more scales, often (though not necessarily) with a digital camouflage pattern created with computer assistance. The function is to provide camouflage over a range of distances, or equivalently over a range of scales (scale-invariant camouflage), in the manner of fractals, so some approaches are called fractal camouflage. Not all multiscale patterns are composed of rectangular 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 root of the modern multi-scale camouflage patterns can be traced back to 1930s experiments in Europe for the German and Soviet armies. Digital patterns date to the 1970s with work by U.S. Army officer Lt. Col. Timothy O'Neill for camouflaging armoured vehicles. This was followed by Canadian development of Canadian Disruptive Pattern (CADPAT), first issued in 2002, and then with US work led by O'Neill which created Marine pattern (MARPAT), launched between 2002 and 2004.
Principle
Scale invariance
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.[2] 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 often fractal, where plants and rock formations exhibit similar patterns across several magnitudes of scale. The idea behind multi-scale patterns is both to mimic the self-similarity of nature, and also to offer scale invariant or so-called fractal camouflage[3] that works at close range as well as at traditional combat range.[4]
Animals such as the flounder have the ability to adapt their camouflage patterns to suit the background, and they do so extremely effectively,[5] selecting patterns that match the spatial scales of the current background.[5]
Design trade-offs
When a pattern is called digital, this most often means that it is visibly composed of computer-generated pixels.[6] The term is sometimes also used of computer generated patterns like the non-pixellated Multicam and the Italian fractal Vegetato pattern.[7] Neither pixellation nor digitization contribute 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.[8][9]
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's Universal Camouflage Pattern (UCP), for example, adopted after limited testing in 2003–4, performed poorly because of low pattern contrast ("isoluminance"—beyond very close range, the design looks like a field of solid light grey, failing to disrupt an object's outlines) and arbitrary colour selection, neither of which could be saved by quantizing (digitizing) the pattern geometry.[1][10][11] The design was replaced from 2015 with Operational Camouflage Pattern, a non-pixellated pattern.[12][13]
History
Interwar development in Europe
The idea of a multi-scale pattern extends back to the interwar period in Europe. Early printed patterns of camouflage, like the 1929 Italian telo mimetico, have larger and smaller elements in the patterns.[14][15]
German WWII experiments
During the Second World War, Johann Georg Otto Schick[lower-alpha 1] designed a series of patterns such as Platanenmuster (plane tree pattern) and erbsenmuster (pea-dot pattern) for the Waffen-SS, combining micro- and macro-patterns in one scheme.[16][17]
The German Army developed the idea further in the 1970s into Flecktarn, which combines smaller shapes with dithering; this softens the edges of the large scale pattern, making the underlying objects harder to discern.[18]
Soviet WWII experiments
Pixel-like shapes pre-date computer-aided design by many years, already being used in Soviet Union experiments with camouflage patterns, such as "TTsMKK"[lower-alpha 2] 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.[20]
1970s tank camouflage
In the 1970s, the U.S. Army officer Lt. Col. Timothy O'Neill suggested that patterns consisting of square blocks of colour would provide camouflage that was more effective than traditional patches of brown and green. Large patches of colour worked well at long range, and small patches at short range, but neither scheme worked well at all ranges. O'Neill's idea was to create a complex pattern of 2 in (5 cm) squares, in modern terms pixels, so that at short range an observer would see a woodland pattern, while at long range the small pixels would merge into larger patches, giving the appearance of a woodland pattern at a larger scale also, [1](dead link).
2000s fractal-like digital patterns
By 2000, O'Neill's idea was combined with patterns like the German Flecktarn to create pixellated camouflage patterns for battledress like the Canadian Forces' CADPAT, issued in 2002, and then the US Marines' MARPAT, rolled out between 2002 and 2004.[8] The CADPAT and MARPAT patterns were somewhat self-similar (in the manner of fractals and patterns in nature such as vegetation), being designed to work at two different scales; a genuinely fractal pattern would be statistically similar at all scales.[21] A target camouflaged with MARPAT takes about 2.5 times longer to detect than older NATO camouflage which worked at only one scale, while recognition, which begins after detection, took 20 percent longer than with older camouflage.[1][21]
Fractal-like patterns work because the human visual system efficiently discriminates images which have different fractal dimension or other second-order statistics like Fourier spatial amplitude spectra; objects simply appear to pop out from the background.[21]
O'Neill helped the Marine 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.[11]
Notes
- ↑ 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).
- ↑ TTsMKK (Russian: ТЦМКК) is short for "three-colour disguise camouflage suit" ("трёхцветный маскировочный камуфлированный костюм", tryokhtsvetniy maskirovochniy kamuflirovanniy kostyum).[19]
References
- 1 2 3 4 O'Neill, Timothy R.; Matthews, M; Swiergosz, M. (2004). "Human Factors Issues in Combat Identification". Physical Review E. 60: 4637–4644. doi:10.1103/physreve.60.4637.
- ↑ Craemer, Guy. "Dual Texture - U.S. Army digital camouflage". United Dynamics Corp. Retrieved 27 September 2012.
- ↑ Hambling, David (8 May 2012). "Invisibility cloaks are almost a reality with fractal-camouflage clothing". Wired (June 2012).
- ↑ Vergun, David. "Army testing combat boots, camouflage patterns". United States Army. Retrieved 28 April 2014.
- 1 2 Akkaynak, 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): 160824. doi:10.1098/rsos.160824.
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.
- ↑ Craemer, Guy (2007). "CADPAT or MARPAT Camouflage". Who did it first; Canada or the US?. Hyperstealth. Retrieved February 3, 2012.
- ↑ Strikehold (2010). "Making Sense of Digital Camouflage". Strikehold. Retrieved 2 September 2012.
- 1 2 Gye, H. (25 June 2012). "How U.S. Army spent $5BILLION on 'failed' pixel camouflage ... because they 'wanted to look cooler than Marines'". Daily Mail. Retrieved 21 November 2012.
'Brand identity trumped camouflage utility,' according to military journalist Eric Graves. 'That's what this really comes down to: we can't allow the Marine Corps to look more cool than the Army.'
- ↑ Engber, D. (5 July 2012). "Lost in the Wilderness, the military's misadventures in pixellated camouflage". Slate. Retrieved 27 September 2012.
- ↑ Hu, Caitlin (2016). "The Art and Science of Military Camouflage". Works That Work (7). Retrieved 8 March 2017.
- 1 2 Kennedy, Pagan (10 May 2013). "Who Made That Digital Camouflage?". New York Times. Retrieved 18 April 2014.
- ↑ Vergun, David (31 March 2014). "Army testing combat boots, camouflage patterns". U.S. Army. Retrieved 22 April 2014.
- ↑ "Army Combat Uniform Summary of Changes" (PDF). US Army. Retrieved 1 April 2017.
- ↑ Turner, B. "Italian three-colour camouflage (2nd pattern)". Kamouflage.net. Retrieved 3 October 2012.
- ↑ Verny, Eric; Bocek, Jonathan. "Italian Camouflage". Der Erste Zug. Retrieved 14 September 2016.
- ↑ Peterson, D. (2001). Waffen-SS Camouflage Uniforms and Post-war Derivatives. Crowood. p. 64. ISBN 978-1-86126-474-9.
- ↑ "Schick, Johann Georg Otto (1882-)". Kalliope-Verbund. Retrieved 29 March 2016.
- ↑ Turner, B. "1938 amoeba pattern, green base". Kamouflage.net. Retrieved 28 September 2012.
- ↑ Dougherty, Martin J. (2017). "Chapter 2: Infantry Camouflage in the Modern Era". In Spilling, Michael. Camouflage At War: An Illustrated Guide from 1914 to the Present Day. London: Amber Books Ltd. p. 69. ISBN 978-1-78274-498-6.
- ↑ Turner, Brad (2004–2010). "1944/45 3-colour deceptive camouflage pattern (TTsMKK)". Kamouflage.net. Retrieved 24 January 2013.* Turner, B. "Bundeswehr Flecktarn, Federal Republic of Germany". Camouflage.net. Retrieved 28 September 2012.
- 1 2 3 Billock, Vincent A; Cunningham, Douglas W.; Tsou, Brian H. Edited by Andrews, Dee H.; Herz, Robert P.; Wolf, Mark B. (2010). Human Factors Issues in Combat Identification. What Visual Discrimination of Fractal Textures Can Tell Us about Discrimination of Camouflaged Targets. Ashgate. pp. 99–101.