Informal settlement segmentation using VHR RGB and height information from UAV imagery: a case study of Nepal

Detalhes bibliográficos
Autor(a) principal: Sigdel, Ganesh Prasad
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10362/113715
Resumo: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
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spelling Informal settlement segmentation using VHR RGB and height information from UAV imagery: a case study of NepalInformal SettlementUnmanned Aerial Vehicle (UAV)Deep LearningSemantic SegmentationNormalized Digital Surface Model(nDSM)Visible-Band Difference Vegetation Index (VDVI)Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesInformal settlement in developing countries are complex. They are contextually and radiometrically very similar to formal settlement. Resolution offered by Remote sensing is not sufficient to capture high variations and feature size in informal settlements in these situations. UAV imageries offers solution with higher resolution. Incorporating UAV image and normalized DSM obtained from UAV provides an opportunity of including information on 3D space. This can be a crucial factor for informal settlement extraction in countries like Nepal. While formal and informal settlements have similar texture, they differ significantly in height. In this regard, we propose segmentation of informal settlement of Nepal using UAV and normalized DSM, against traditional approach of orthophoto only or orthophoto and DSM. Absolute height, normalized DSM(nDSM) and vegetation index from visual band added to 8 bit RGB channels are used to locate informal settlements. Segmentation including nDSM resulted in 6 % increment in Intersection over Union for informal settlements. IoU of 85% for informal settlement is obtained using nDSM trained end to end on Resnet18 based Unet. Use of threshold value had same effect as using absolute height, meaning use of threshold does not alter result from using absolute nDSM. Integration of height as additional band showed better performance over model that trained height separately. Interestingly, benefits of vegetation index is limited to settlements with small huts partly covered with vegetation, which has no or negative effect elsewhere.Pla Bañón, FilibertoFernández-Beltrán, RubénCabral, Pedro da Costa BritoRUNSigdel, Ganesh Prasad2021-03-11T17:40:52Z2021-03-052021-03-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/113715TID:202671321enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:51:09Zoai:run.unl.pt:10362/113715Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:22:24.468124Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Informal settlement segmentation using VHR RGB and height information from UAV imagery: a case study of Nepal
title Informal settlement segmentation using VHR RGB and height information from UAV imagery: a case study of Nepal
spellingShingle Informal settlement segmentation using VHR RGB and height information from UAV imagery: a case study of Nepal
Sigdel, Ganesh Prasad
Informal Settlement
Unmanned Aerial Vehicle (UAV)
Deep Learning
Semantic Segmentation
Normalized Digital Surface Model(nDSM)
Visible-Band Difference Vegetation Index (VDVI)
title_short Informal settlement segmentation using VHR RGB and height information from UAV imagery: a case study of Nepal
title_full Informal settlement segmentation using VHR RGB and height information from UAV imagery: a case study of Nepal
title_fullStr Informal settlement segmentation using VHR RGB and height information from UAV imagery: a case study of Nepal
title_full_unstemmed Informal settlement segmentation using VHR RGB and height information from UAV imagery: a case study of Nepal
title_sort Informal settlement segmentation using VHR RGB and height information from UAV imagery: a case study of Nepal
author Sigdel, Ganesh Prasad
author_facet Sigdel, Ganesh Prasad
author_role author
dc.contributor.none.fl_str_mv Pla Bañón, Filiberto
Fernández-Beltrán, Rubén
Cabral, Pedro da Costa Brito
RUN
dc.contributor.author.fl_str_mv Sigdel, Ganesh Prasad
dc.subject.por.fl_str_mv Informal Settlement
Unmanned Aerial Vehicle (UAV)
Deep Learning
Semantic Segmentation
Normalized Digital Surface Model(nDSM)
Visible-Band Difference Vegetation Index (VDVI)
topic Informal Settlement
Unmanned Aerial Vehicle (UAV)
Deep Learning
Semantic Segmentation
Normalized Digital Surface Model(nDSM)
Visible-Band Difference Vegetation Index (VDVI)
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies
publishDate 2021
dc.date.none.fl_str_mv 2021-03-11T17:40:52Z
2021-03-05
2021-03-05T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/113715
TID:202671321
url http://hdl.handle.net/10362/113715
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dc.language.iso.fl_str_mv eng
language eng
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dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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repository.mail.fl_str_mv info@rcaap.pt
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