International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV. Part B1. Istanbul 2004 
  
The analysis aim was to select spectral sub-ranges in which 
detection of the object from the background is the most 
probable. 
Kontrast 
  
  
Wavelength [nm] 
Graph 9. Sample 4 (white fabric) and snow contrast. 
Using the above graph it is possible to select the best spectral 
sub-ranges for imagery recording in order to distinguish the 
sample from the background. UV range is the best for the 
presented example. 
Thee following figures present images of a set of samples 
acquired by means of the system 
  
w 
VIS image 
e 
  
IR image 
  
UV image 
E 
CONCLUSIONS 
Producers of technical equipment of television standard do not 
consider it to be applied for reconnaissance tasks realization. 
There are no television standard devices that may be directly 
applied to detection of camouflaged objects from natural 
background. One of the problem solutions may be constructing 
a multispectral system for detection of camouflaged objects 
from natural background based on locally commercially 
available re;ativel inexpensive video cameras. Selection. of 
appropriate devices (based on the analysis of their 
specifications) enabled construction of a system that, 
theoretically, with application of an appropriate recording 
methodology should provide imagery enabling detection of 
camouflaged objects from natural background in real time. 
Detection of camouflaged objects from natural background is 
based on spectral compositions created in real time on the 
system monitor screen of 3 selected spectral channels or in 
post-processing of all recorded spectral channels. 
The presented method of imagery acquisition by means of 
television standard video technique and creating multispectral 
compositions in real time may find wide application not only in 
reconnaissance topics realization but also in natural 
environment studies or natural disasters monitoring. It is a 
useful tool in processes related with detection and surveying 
objects and phenomena of interest. Application of the 
developed system and imagery recording method may also be 
expected for crop surveying for the purposes of the IACS 
system. 
REFERENCES 
Brock G. C., 1970, Image evaluation, The Focal Press London. 
Field Spec!M, 1097, User's Guide. 
JENSEN J., 2000, Remote sensing of the environment, an earth 
resource perspective, New Jersey. 
Scott T., 1995, Remote Sensing, London 
Sony Corporation, 1997,,3CCD color video camera”.