[Studies in Computational Intelligence 481] Artur Babiarz, Robert Bieda, Karol Jędrasiak, Aleksander Nawrat (auth.), Aleksander Nawrat, Zygmunt Kuś (eds.) - Vision Based Systemsfor UAV Applications (2013, Sprin

112 G. Bieszczad et al.
MTF function describes the image distortions introduced by a camera. It is defined
an a module from normalized to unity FFT transform of luminance distribution in
a point source image, for null spatial frequency.
On the basis of derived MRTD characteristics the detection, recognition and
identification ranges were calculated for a standard NATO target, according to
STANAG 4347. Spatial noise of an imaging system can be calculated using 3D
noise model. Each noise component of a system influences the image quality. The
analysis of the contribution of each particular noise source is difficult, or rather
impossible, as the influence of different noise sources may result in the same type
of image degradation. Thus in order to perform noise analysis the 3D noise model
was introduced.
In order to determine 3D noise components several images of uniform background
were acquired and on this basis the matrix noise model of camera system
was created.
6 Summary
The presented high resolution thermal camera with microbolometer focal plane
array made of amorphous silicon operates in 8-12 μm spectral range. The applied
FPA array, made by ULIS (France), has a size of 640x480 pixels, which amounts
to the total number of 307 200 infrared detectors. Thermal resolution is 0.08 degrees
Celsius and spatial resolution reaches 1.35 mrad. Such parameters allow for
the detection of a human being from over 1300 meters’ distance. The camera is
equipped with atheromalized lens with single FOV of about 50° and F-number of
1.25. The applied passively athermalized lens can operate in a broad temperature
range without the need of man al refocusing.
Fig. 21. Sample image produced by the presented high resolution thermal camera