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  • Development of a Low-Cost Terrestrial Mobile Mapping System for Urban Vegetation Detection Using Convolutional Neural Networks
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Development of a Low-Cost Terrestrial Mobile Mapping System for Urban Vegetation Detection Using Convolutional Neural Networks

Fuente: Redalyc
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Bibliographic Details
Main Author: Kauê de Moraes Vestena
Format: Artículo científico
Language:en
Published: Universidade Federal do Rio de Janeiro 2022
Subjects:
Geología
nir Imaging
semantic segmentation
Mobile geospatial data acquisition systems
Online Access:
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Internet

https://www.redalyc.org/articulo.oa?id=695375056046
https://www.redalyc.org/journal/6953/695375056046/
https://www.redalyc.org/journal/6953/695375056046/html/
https://www.redalyc.org/journal/6953/695375056046/695375056046.epub
https://www.redalyc.org/journal/6953/695375056046/movil

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