Calving Events Detection and Quantification from Time-lapse Images : A Case Study of Tunabreen Glacier, Svalbard
A fully automated method for detecting and measuring calving regions of a glacier is an important tool to gather massive statistical data of calving events. A new framework to achieve the goals is presented in this thesis. First, time-lapse images are registered to the first image in the set. Regist...
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Uppsala universitet, Institutionen för informationsteknologi
2015
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ftuppsalauniv:oai:DiVA.org:uu-257062 2023-05-15T16:22:13+02:00 Calving Events Detection and Quantification from Time-lapse Images : A Case Study of Tunabreen Glacier, Svalbard Adinugroho, Sigit 2015 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-257062 eng eng Uppsala universitet, Institutionen för informationsteknologi IT 15038 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-257062 info:eu-repo/semantics/openAccess Student thesis info:eu-repo/semantics/bachelorThesis text 2015 ftuppsalauniv 2023-02-23T21:38:31Z A fully automated method for detecting and measuring calving regions of a glacier is an important tool to gather massive statistical data of calving events. A new framework to achieve the goals is presented in this thesis. First, time-lapse images are registered to the first image in the set. Registration process makes use of the M-Estimator Sample Consensus (MSAC) method to estimate a transformation model that relates a pair of Speeded-Up Robust Features (SURF). Then, the terminus of a glacier is separated from other objects by a semi-automatic Chan-vese level-set segmentation. After that, calving regions in a terminus are detected as a combined difference of Local Binary Patterns (LBP) of two successive images. Clustered points that form a difference image are transformed into polygons representing changed regions by applying the α-shape method. Finally, the areas of changed regions are estimated by the pixel scaling method. The results highlight the performance of the method under normal conditions and reveal the impact of various weather conditions to the performance of the method. Bachelor Thesis glacier Svalbard Uppsala University: Publications (DiVA) Svalbard Tunabreen ENVELOPE(17.387,17.387,78.461,78.461) |
institution |
Open Polar |
collection |
Uppsala University: Publications (DiVA) |
op_collection_id |
ftuppsalauniv |
language |
English |
description |
A fully automated method for detecting and measuring calving regions of a glacier is an important tool to gather massive statistical data of calving events. A new framework to achieve the goals is presented in this thesis. First, time-lapse images are registered to the first image in the set. Registration process makes use of the M-Estimator Sample Consensus (MSAC) method to estimate a transformation model that relates a pair of Speeded-Up Robust Features (SURF). Then, the terminus of a glacier is separated from other objects by a semi-automatic Chan-vese level-set segmentation. After that, calving regions in a terminus are detected as a combined difference of Local Binary Patterns (LBP) of two successive images. Clustered points that form a difference image are transformed into polygons representing changed regions by applying the α-shape method. Finally, the areas of changed regions are estimated by the pixel scaling method. The results highlight the performance of the method under normal conditions and reveal the impact of various weather conditions to the performance of the method. |
format |
Bachelor Thesis |
author |
Adinugroho, Sigit |
spellingShingle |
Adinugroho, Sigit Calving Events Detection and Quantification from Time-lapse Images : A Case Study of Tunabreen Glacier, Svalbard |
author_facet |
Adinugroho, Sigit |
author_sort |
Adinugroho, Sigit |
title |
Calving Events Detection and Quantification from Time-lapse Images : A Case Study of Tunabreen Glacier, Svalbard |
title_short |
Calving Events Detection and Quantification from Time-lapse Images : A Case Study of Tunabreen Glacier, Svalbard |
title_full |
Calving Events Detection and Quantification from Time-lapse Images : A Case Study of Tunabreen Glacier, Svalbard |
title_fullStr |
Calving Events Detection and Quantification from Time-lapse Images : A Case Study of Tunabreen Glacier, Svalbard |
title_full_unstemmed |
Calving Events Detection and Quantification from Time-lapse Images : A Case Study of Tunabreen Glacier, Svalbard |
title_sort |
calving events detection and quantification from time-lapse images : a case study of tunabreen glacier, svalbard |
publisher |
Uppsala universitet, Institutionen för informationsteknologi |
publishDate |
2015 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-257062 |
long_lat |
ENVELOPE(17.387,17.387,78.461,78.461) |
geographic |
Svalbard Tunabreen |
geographic_facet |
Svalbard Tunabreen |
genre |
glacier Svalbard |
genre_facet |
glacier Svalbard |
op_relation |
IT 15038 http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-257062 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766010186695180288 |