6533b85efe1ef96bd12c0475
RESEARCH PRODUCT
Weed detection by aerial imaging: impact of soil, crop and weed spectral mixing
Marine LouargantSylvain VilletteGawain JonesN. VigneauJean-noël PaoliChristelle Geesubject
[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agricultureAcquisition chainmultispectral[ SDV.SA.STA ] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture[SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agricultureUnmanned aerial vehicleWeed classificationdescription
International audience; This study aims to evaluate spectral information potential of images captured with a UAV, for site specific weed management. The image acquisition chain was modeled in order to compute the digital values of image pixels, according to the field conditions and objects lying on the ground surface projected in the pixels. The object spectra are mixed in the same pixel to estimate the impact of the spatial resolution of the image. The classification potential into crop, weed and soil classes was studied usinf simulations based on the present multispectral sensor characteristics and according to different mixing rates.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2015-07-12 |