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Localization of mealybug in remotely sensed images of a cotton field

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2017Publisher:OSAJournal:Light, Energy and the Environment
Authors: Iftach Klapp; Omer Sapir; Ariela Niv; Michal Axelrod; Nir Sochen;

doi: 10.1364/ee.2017.eth1a.5

Localization of mealybug in remotely sensed images of a cotton field

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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