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TitleAgricultural Applications of Airborne Hyperspectral Data: Weed Detection
DownloadDownloads (Preprint)
 
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorDeguise, J -C; Staenz, K; Lefebvre, J
SourceFourth International Airborne Remote Sensing Conference and Exhibition/21st Canadian Symposium on Remote Sensing, Ottawa, Ontario, Canada, 21-24 June; 1999., https://doi.org/10.4095/219524 Open Access logo Open Access
Year1999
Alt SeriesEarth Sciences Sector, Contribution Series 20042722
Documentbook
Lang.English
Mediapaper; on-line; digital
File formatpdf
Released1999 01 01
AbstractWeed infestation in commercial crops in Canada is a major problem to producers. To help the reduction of the amount of herbicides used for the control of weeds, the potential of high spatial resolution airborne hyperspectral data was exploited for the detection of weeds in a crop of canola. Both manual and automatic endmember selection approaches were used to extract the weed endmember spectrum from the image cube. Results obtained from constrained linear spectral unmixing using this endmember are discussed.
GEOSCAN ID219524

 
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