Publicaties
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Easy sensor localization using an RGB camera Universiteit Antwerpen
When performing an experimental modal test, the user has to define (i.e. draw) a geometry of the structure which includes the 3D locations and orientations of the vibration sensors (accelerometers, strain gages, etc.). This step is often tedious and time-consuming, especially for complex geometries containing a large number of sensors. Incorrect placement of sensors can lead to important errors [1]. In this paper, we propose a camera based ...
Easy sensor localization using an rgb camera Universiteit Antwerpen
Stretchable 45 x 80 RGB LED display using meander wiring technology Universiteit Gent
Fusion of thermal infrared hyperspectral image and visible RGB image for classification Universiteit Gent
Physical modelling of Nikon Coolpix camera RGB responses for application in non-destructive leaf chlorophyll imaging Universiteit Antwerpen
This paper describes computer aided leaf digital image analysis based on leaf reflectance imaging. It is based on a fast, non-destructive measurement technique of leaf chlorophyll content imaging based on measurements of leaf reflectance. The validity of the method is demonstrated by a direct comparison of conventional chlorophyll extraction of both leaf chlorophyll pigments a, b with reflectance based estimates of leaf chlorophyll a, b and ...
Banana disease detection by fusion of close range hyperspectral image and high-resolution RGB image Universiteit Gent
UAV based field phenotyping of winter wheat: what do vegetation indices derived from RGB and multispectral data offer to the breeder? Instituut voor Landbouw-, Visserij- en Voedingsonderzoek
Applying RGB- and Thermal-Based Vegetation Indices from UAVs for High-Throughput Field Phenotyping of Drought Tolerance in Forage Grasses Instituut voor Landbouw-, Visserij- en Voedingsonderzoek Universiteit Gent
The persistence and productivity of forage grasses, important sources for feed production, are threatened by climate change-induced drought. Breeding programs are in search of new drought tolerant forage grass varieties, but those programs still rely on time-consuming and less consistent visual scoring by breeders. In this study, we evaluate whether Unmanned Aerial Vehicle (UAV) based remote sensing can complement or replace this visual breeder ...