Multispectral Solutions In Surveillance Systems: The Need For Data Fusion
Free (open access)
285 - 293
M. Życzkowski, M. Szustakowski, W. Ciurapiński, M. Kastek, R. Dulski, M. Karol, M. Kowalski & P. Markowski
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.
surveillance system, laser photography, data fusion