Paper
5 October 2017 Hyperspectral discrimination of camouflaged target
Author Affiliations +
Proceedings Volume 10432, Target and Background Signatures III; 1043207 (2017) https://doi.org/10.1117/12.2278578
Event: SPIE Security + Defence, 2017, Warsaw, Poland
Abstract
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vojtěch Bárta and František Racek "Hyperspectral discrimination of camouflaged target ", Proc. SPIE 10432, Target and Background Signatures III, 1043207 (5 October 2017); https://doi.org/10.1117/12.2278578
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Camouflage

Optical filters

Image filtering

Bandpass filters

Short wave infrared radiation

Transmittance

Cameras

Back to Top