3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)

Detalhes bibliográficos
Autor(a) principal: RODOLFO GEORJUTE LOTTE
Data de Publicação: 2018
Tipo de documento: Tese
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7354674
id BRCRIS_1ca054552e2aa3bfeefe6ac605653821
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv 3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)
title 3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)
spellingShingle 3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)
structure-from-motion
RODOLFO GEORJUTE LOTTE
title_short 3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)
title_full 3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)
title_fullStr 3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)
3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)
title_full_unstemmed 3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)
3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)
title_sort 3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)
topic structure-from-motion
publishDate 2018
format doctoralThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7354674
author_role author
author RODOLFO GEORJUTE LOTTE
author_facet RODOLFO GEORJUTE LOTTE
dc.contributor.advisor1.fl_str_mv Carlos Ho Shi Ning / Yosio Edemir Shimabukuro
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/1913003589198061
dc.publisher.none.fl_str_mv INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS
publisher.none.fl_str_mv INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS
instname_str INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS
dc.publisher.program.fl_str_mv SENSORIAMENTO REMOTO
dc.description.course.none.fl_txt_mv SENSORIAMENTO REMOTO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPES3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN)structure-from-motion2018doctoralThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=7354674authorRODOLFO GEORJUTE LOTTECarlos Ho Shi Ning / Yosio Edemir Shimabukurohttp://lattes.cnpq.br/1913003589198061INSTITUTO NACIONAL DE PESQUISAS ESPACIAISINSTITUTO NACIONAL DE PESQUISAS ESPACIAISINSTITUTO NACIONAL DE PESQUISAS ESPACIAISSENSORIAMENTO REMOTOSENSORIAMENTO REMOTOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv LOTTE, RODOLFO GEORJUTE. 3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN). 2018. Tese.
dc.identifier.citation.fl_str_mv LOTTE, RODOLFO GEORJUTE. 3-dimensional (3D) urban mapping: a study of detection and reconstruction of building´s facade through structure-from-motion (SFM) and convolutional neural network (CNN). 2018. Tese.
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