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Other ORP type . 2022
License: CC BY
Data sources: Datacite
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Other literature type . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Other ORP type . 2022
License: CC BY
Data sources: Datacite
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U-Net code for building segmentation in the deprived urban areas (slums) of Nairobi, Kenya.

appsOther research productkeyboard_double_arrow_right Other ORP type , Other literature type 03 May 2022Publisher:Zenodo
Authors: Abascal, Angela;

doi: 10.5281/zenodo.6514859 , 10.5281/zenodo.6514858

U-Net code for building segmentation in the deprived urban areas (slums) of Nairobi, Kenya.

Abstract

U-Net code for building segmentation in the deprived urban areas (slums) of Nairobi, Kenya. The analysis used satellite images as input. Funding: The research pertaining to these results received financial aid from the Belgian Federal Science Policy (BELSPO) according to the agreement of subsidy no. SR/11/380.

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Keywords

remote sensing, building footprints, deep learning, UNET

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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