Informal settlement segmentation using VHR RGB and height information from UAV imagery: a case study of Nepal
| Autor(a) principal: | |
|---|---|
| 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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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 |
| format |
masterThesis |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/113715 TID:202671321 |
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http://hdl.handle.net/10362/113715 |
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TID:202671321 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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