Multispectral Solutions In Surveillance Systems:
The Need For Data Fusion
Author(s)
M. Życzkowski, M. Szustakowski, W. Ciurapiński, M. Kastek,
R. Dulski, M. Karol, M. Kowalski & P. Markowski
Abstract
Surveillance systems are using more and more devices that use multiple spectral
bands to detect threats, such as millimeter-wave radar, terahertz cameras,
infrared cameras, and many others. These devices enable early detection of
occurring threats. However, using such a wide spectrum of devices can
significantly increase the amount of data collected by the system. This creates a
need to determine the suitability of the information of individual devices, and
reduce the amount of data. In this paper, the authors consider problems of data
fusion from multispectral sensors and the possibilities of applications in security
systems. The paper describes the opportunities and risks that potentially carry the
use of data fusion, and shows the ability to detect and identify the target using
data collected by multispectral sensors. A very important aspect of data fusion is
to reduce the amount of data without losing contained information, and improve
the readability, which facilitates its interpretation by a system operator. The
paper focuses on determining the possible ranges of detection for selected
multispectral devices capable of producing the correct synthesis of data.
Keywords: surveillance system, laser photography, data fusion.
Keywords
surveillance system, laser photography, data fusion
Related Book
Other papers in this volume
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