Replacing human interpretation of agricultural land in Afghanistan with a deep convolutional neural network
Copyright policy ) A. M. Hamer; D. M. Simms; T. W. Waine;
Replacing human interpretation of agricultural land in Afghanistan with a deep convolutional neural network
Afghanistan’s annual opium survey relies upon time-consuming human interpretation of satellite images to map the area of potential poppy cultivation for statistical sample design. Deep Convolutiona...
classification of vegetation, Government of Afghanistan, 006, Convolutional Neural Networks (CNNs), gradient-based optimization algorithm
classification of vegetation, Government of Afghanistan, 006, Convolutional Neural Networks (CNNs), gradient-based optimization algorithm
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).7 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
selected citations
Citations provided by BIP!
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 7
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