<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In the present paper, a new and improved visual sensor data fusion method is proposed that uses visible and far-infrared 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.</p><p>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.</p></abstract>

In the present paper, a new and improved visual sensor data fusion method is proposed that uses visible and far-infrared 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.

Target Identification Using Sensors of Different Nature

Norwegian University of Science and Technology

Applied Computer Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Target Identification Using Sensors of Different Nature"}

In the present paper, a new and improved visual sensor data fusion method is proposed that uses visible and far-infrared light sensors. Additionally, lux meter...

Target Identification Using Sensors of Different Nature

Online veröffentlicht: 27. Dez. 2017

Seitenbereich: 28 - 35

DOI: https://doi.org/10.1515/acss-2017-0015

Schlüsselwörter
Hyperspectral sensor data processing, object recognition in various light conditions, sensor data fusion, target identification

© 2017 Anete Vagale et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Target Identification Using Sensors of Different Nature

Online veröffentlicht: 27. Dez. 2017

Seitenbereich: 28 - 35

DOI: https://doi.org/10.1515/acss-2017-0015

SchlüsselwörterHyperspectral sensor data processing, object recognition in various light conditions, sensor data fusion, target identification

© 2017 Anete Vagale et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Hyperspectral sensor data processing, object recognition in various light conditions, sensor data fusion, target identification