Application of the trajectory error matrix for assessing the temporal transferability of OBIA for slum detection
High temporal and spatial-resolution imageries are a valuable data source for slum monitoring. However, the transferability of OBIA methods across space and time remains problematic, due to the complexity of the term “slum”. Hence, transparency is important when analysing the transferability of OBIA...
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Online Access: | http://dx.doi.org/10.1080/22797254.2018.1496798 |
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doaj-e7acec362c954f93bb66cab4a7bfd1432020-11-24T22:09:36ZengTaylor & Francis GroupEuropean Journal of Remote Sensing2279-72542018-01-0151183884910.1080/22797254.2018.14967981496798Application of the trajectory error matrix for assessing the temporal transferability of OBIA for slum detectionJati Pratomo0Monika Kuffer1Divyani Kohli2Javier Martinez3University of TwenteUniversity of TwenteUniversity of TwenteUniversity of TwenteHigh temporal and spatial-resolution imageries are a valuable data source for slum monitoring. However, the transferability of OBIA methods across space and time remains problematic, due to the complexity of the term “slum”. Hence, transparency is important when analysing the transferability of OBIA methods for slum mapping. Our research developed a framework for measuring the temporal transferability of OBIA methods employing the trajectory error matrix (TEM). We found relatively low trajectory accuracies indicating low temporal transferability of OBIA methods for slum monitoring using point-based assessment methods. However, the analysis of change needs to be combined with an analysis of the certainty of this change by considering the context of the change to deal with common problems such as variations of the viewing angles and uncertainties in producing reference data on slums.http://dx.doi.org/10.1080/22797254.2018.1496798Transferabilityobject-based image analysis (OBIA)slumsmulti-temporaltrajectory error matrix |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jati Pratomo Monika Kuffer Divyani Kohli Javier Martinez |
spellingShingle |
Jati Pratomo Monika Kuffer Divyani Kohli Javier Martinez Application of the trajectory error matrix for assessing the temporal transferability of OBIA for slum detection European Journal of Remote Sensing Transferability object-based image analysis (OBIA) slums multi-temporal trajectory error matrix |
author_facet |
Jati Pratomo Monika Kuffer Divyani Kohli Javier Martinez |
author_sort |
Jati Pratomo |
title |
Application of the trajectory error matrix for assessing the temporal transferability of OBIA for slum detection |
title_short |
Application of the trajectory error matrix for assessing the temporal transferability of OBIA for slum detection |
title_full |
Application of the trajectory error matrix for assessing the temporal transferability of OBIA for slum detection |
title_fullStr |
Application of the trajectory error matrix for assessing the temporal transferability of OBIA for slum detection |
title_full_unstemmed |
Application of the trajectory error matrix for assessing the temporal transferability of OBIA for slum detection |
title_sort |
application of the trajectory error matrix for assessing the temporal transferability of obia for slum detection |
publisher |
Taylor & Francis Group |
series |
European Journal of Remote Sensing |
issn |
2279-7254 |
publishDate |
2018-01-01 |
description |
High temporal and spatial-resolution imageries are a valuable data source for slum monitoring. However, the transferability of OBIA methods across space and time remains problematic, due to the complexity of the term “slum”. Hence, transparency is important when analysing the transferability of OBIA methods for slum mapping. Our research developed a framework for measuring the temporal transferability of OBIA methods employing the trajectory error matrix (TEM). We found relatively low trajectory accuracies indicating low temporal transferability of OBIA methods for slum monitoring using point-based assessment methods. However, the analysis of change needs to be combined with an analysis of the certainty of this change by considering the context of the change to deal with common problems such as variations of the viewing angles and uncertainties in producing reference data on slums. |
topic |
Transferability object-based image analysis (OBIA) slums multi-temporal trajectory error matrix |
url |
http://dx.doi.org/10.1080/22797254.2018.1496798 |
work_keys_str_mv |
AT jatipratomo applicationofthetrajectoryerrormatrixforassessingthetemporaltransferabilityofobiaforslumdetection AT monikakuffer applicationofthetrajectoryerrormatrixforassessingthetemporaltransferabilityofobiaforslumdetection AT divyanikohli applicationofthetrajectoryerrormatrixforassessingthetemporaltransferabilityofobiaforslumdetection AT javiermartinez applicationofthetrajectoryerrormatrixforassessingthetemporaltransferabilityofobiaforslumdetection |
_version_ |
1725810945877344256 |