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Chaîne de traitement automatisée pour l'acquisition par drone d'images multispectrales haute résolution de parcelles de culture
- Source :
- Precision Agriculture '15
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- International audience; In the context of the RHEA European project addressing site-specific weeding on arable crops, a complete aerial image acquisition chain has been developed, providing a geo-referenced multispectral image of a total parcel with 1 cm spatial resolution. Robust automatic ground control point detection and near infrared - visible sensor image registration modules have been implemented and associated with the MicMac photogrammetric software suite to provide a fully automatized mosaicking procedure. This procedure has been successfully applied on various maize and wheat crops for weed patch detection, but could be extended to other precision agriculture applications, especially those requiring a very high spatial resolution.
- Subjects :
- SPECTRAL ANALYSIS
AGRICULTURE
ACQUISITION DE DONNEES
Multispectral image
Image registration
Context (language use)
030218 nuclear medicine & medical imaging
03 medical and health sciences
PRECISION AGRICULTURE
0302 clinical medicine
ANALYSE SPECTRALE
[SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture
Computer vision
Image resolution
DRONE
Aerial image
Remote sensing
2. Zero hunger
Software suite
business.industry
04 agricultural and veterinary sciences
PROCHE INFRAROUGE
Geography
Photogrammetry
VERY HIGH SPATIAL RESOLUTION
NEAR INFRARED
DATA ACQUISITION
040103 agronomy & agriculture
TRES HAUTE RESOLUTION SPATIALE
0401 agriculture, forestry, and fisheries
Artificial intelligence
Precision agriculture
business
AGRICULTURE DE PRECISION
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Precision Agriculture '15
- Accession number :
- edsair.doi.dedup.....11f3877a8e102159b712654a2352eb75
- Full Text :
- https://doi.org/10.3920/978-90-8686-814-8_16⟩