Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/353452
Type: Artigo
Title: Correcting misaligned rural building annotations in open street map using convolutional neural networks evidence
Author: Vargas-Muñoz, John E.
Marcos, Diego
Lobry, Sylvain
Santos, Jefersson A. dos
Falcao, Alexandre X.
Tuia, Devis
Abstract: Mapping rural buildings in developing countries is crucial to monitor and plan in those vulnerable areas. Despite the existence of some rural building annotations in OpenStreetMap (OSM), those are of insufficient quantity and quality to train models able
Subject: Fotografia aérea
Reconhecimento de padrões
Redes neurais convolucionais
Markov, Campos aleatórios de
Segmentação de imagens
Aerial photography
Pattern perception
Convolutional neural networks
Markov random fields
Image segmentation
Country: Estados Unidos
Editor: Institute of Electrical and Electronics Engineers
Rights: Fechado
Identifier DOI: 10.1109/IGARSS.2018.8518711
Address: https://ieeexplore.ieee.org/document/8518711
Date Issue: 2018
Appears in Collections:IC - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000451039801116.pdf1.11 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.