Target Identification Using Sensors of Different Nature

Applied Computer Systems 2017
Anete Vagale, Agris Ņikitenko, Eduards Puķins-Slava, Ottar L. Osen

In the present paper, a new and improved visual sensor data fusion method is proposed that uses visible and farinfrared light sensors. Additionally, lux meter data are used for decision level fusion of beliefs of recognised target classes. The database consisting of 4 ambient light condition images is created using Canon and FLIR cameras. The developed approach has been tested using database images, neural network training and classification, particularly for low light level conditions. Enhancements of target identification precision are proved by practical implementation and testing of the proposed method.

Keywords
Hyperspectral sensor data processing, object recognition in various light conditions, sensor data fusion, target identification.
DOI
10.1515/acss-2017-0015

Vagale, A., Ņikitenko, A., Slava, E., Osen, O. Target Identification Using Sensors of Different Nature. Applied Computer Systems, 2017, Vol.22, pp.28-35. ISSN 2255-8683. e-ISSN 2255-8691. Available from: doi:10.1515/acss-2017-0015

Publication language
English (en)