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Localization of mealybug in remotely sensed images of a cotton field
Year:
2017
Source of publication :
Optics InfoBase Conference Papers
Authors :
Klapp, Iftach
;
.
Sapir, Omer
;
.
Volume :
Part F65-EE 2017
Co-Authors:
Klapp, I., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel
Sapir, O., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel, Department of Mathematics, Tel Aviv University, Tel Aviv, Israel
Niv, A., The Israel Cotton Board Ltd., PoX 834, Herzeliya, Israel
Axelrod, M., The Israel Cotton Board Ltd., PoX 834, Herzeliya, Israel
Sochen, N., Department of Mathematics, Tel Aviv University, Tel Aviv, Israel
Facilitators :
From page:
To page:
(
Total pages:
1
)
Abstract:
A method that takes into consideration the influence of imaging-system blur on the local-intensity histogram enables recognizing mealybug clusters covering only a few pixels in cotton field images taken from a drone.
Note:
Related Files :
COTTON
Cotton fields
Intensity histograms
Remotely sensed images
Show More
Related Content
More details
DOI :
10.1364/EE.2017.ETh1A.5
Article number:
Affiliations:
Database:
Scopus
Publication Type:
Conference paper
;
.
Language:
English
Editors' remarks:
ID:
21474
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:44
Scientific Publication
Localization of mealybug in remotely sensed images of a cotton field
Part F65-EE 2017
Klapp, I., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel
Sapir, O., Department of Sensing, Information and Mechanization Engineering, Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Bet Dagan, Israel, Department of Mathematics, Tel Aviv University, Tel Aviv, Israel
Niv, A., The Israel Cotton Board Ltd., PoX 834, Herzeliya, Israel
Axelrod, M., The Israel Cotton Board Ltd., PoX 834, Herzeliya, Israel
Sochen, N., Department of Mathematics, Tel Aviv University, Tel Aviv, Israel
Localization of mealybug in remotely sensed images of a cotton field
A method that takes into consideration the influence of imaging-system blur on the local-intensity histogram enables recognizing mealybug clusters covering only a few pixels in cotton field images taken from a drone.
Scientific Publication
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