Each country has different requirements for camouflage parameters. The requirements are used for camouflage quality verification. Spectral reflectance limits are one of the criteria that every material used by army has to satisfy. Most countries use spectral borders to verify spectral behaviour of materials. Measuring of spectral characteristics has a long history in many countries. This article deals with current application of spectral borders in the Czech Republic. It is not allowed to openly publish the precise spectral curves. Therefore, this article shows the principles which play a significant role in establishing them.
This article focuses on results of international measurement that took place in a military training area near Baad Shaarow in the summer of 2017. The main goal of this measurement was collecting information about current attitudes to camouflage targets detection. Participants measured spectral signatures of present targets by using hyperspectral sensors. Image spectroscopy has been in great demand for the last decade. This field was initially used in remote sensing application. The progress in electrotechnology allowed for spreading out into diverse branches. This system has not been used in military technology for too long. The military application involves specific tools. This event was attended by several research groups from several countries. Every group operated a different hyperspectral device and they documented an identical target. Using different devices there was a wide spectrum of apparatus which work in different spectrum from VIS to SWIR. The main part of this work is focused on hyperspectral data comparison.
The article deals with detection of camouflaged objects during winter season. Winter camouflage is a marginal affair in most countries due to short time period of the snow cover. In the geographical condition of Central Europe the winter period with snow occurs less than 1/12 of year. The LWIR or SWIR spectral areas are used for detection of camouflaged objects. For those spectral regions the difference in chemical composition and temperature express in spectral features. Exploitation of the LWIR and SWIR devices is demanding due to their large dimension and expensiveness. Therefore, the article deals with estimation of utilization of VIS region for detecting of camouflaged object on snow background. The multispectral image output for the various spectral filters is simulated. Hyperspectral indices are determined to detect the camouflaged objects in the winter. The multispectral image simulation is based on the hyperspectral datacube obtained in real conditions.