Distributed and hierarchical object-based image analysis for damage assessment: a case study of 2008 Wenchuan earthquake, China
Object-based image analysis (OBIA) is an emerging technique for analyzing remote sensing image based on object properties including spectral, geometry, contextual and texture information. To reduce the computational cost of this comprehensive OBIA and make it more feasible in disaster responses, we...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2016-11-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/19475705.2016.1171257 |
| _version_ | 1818047863637147648 |
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| author | Jing Sun Tuong Thuy Vu |
| author_facet | Jing Sun Tuong Thuy Vu |
| author_sort | Jing Sun |
| collection | DOAJ |
| description | Object-based image analysis (OBIA) is an emerging technique for analyzing remote sensing image based on object properties including spectral, geometry, contextual and texture information. To reduce the computational cost of this comprehensive OBIA and make it more feasible in disaster responses, we developed a unique approach – distributed and hierarchical OBIA approach for damage assessment. This study demonstrated a completed classification of YingXiu town, heavily devastated by the 2008 Wenchuan earthquake using Quickbrid imagery. Two distinctive areas, mountainous areas and urban, were analyzed separately. This approach does not require substantial processing power and large amounts of available memory because image of a large disaster-affected area was split in smaller pieces. Two or more computers could be used in parallel to process and analyze these sub-images based on different requirements. The approach can be applicable in other cases whereas the established set of rules can be adopted in similar study areas. More experiments will be carried out in future studies to prove its feasibility. |
| first_indexed | 2024-12-10T10:12:33Z |
| format | Article |
| id | doaj.art-570f72e347e544f5bea2c20be808b7db |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-12-10T10:12:33Z |
| publishDate | 2016-11-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-570f72e347e544f5bea2c20be808b7db2022-12-22T01:53:06ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132016-11-01761962197210.1080/19475705.2016.11712571171257Distributed and hierarchical object-based image analysis for damage assessment: a case study of 2008 Wenchuan earthquake, ChinaJing Sun0Tuong Thuy Vu1Geoinformatics, Royal Institute of TechnologySchool of Geography, University of Nottingham, Malaysia campusObject-based image analysis (OBIA) is an emerging technique for analyzing remote sensing image based on object properties including spectral, geometry, contextual and texture information. To reduce the computational cost of this comprehensive OBIA and make it more feasible in disaster responses, we developed a unique approach – distributed and hierarchical OBIA approach for damage assessment. This study demonstrated a completed classification of YingXiu town, heavily devastated by the 2008 Wenchuan earthquake using Quickbrid imagery. Two distinctive areas, mountainous areas and urban, were analyzed separately. This approach does not require substantial processing power and large amounts of available memory because image of a large disaster-affected area was split in smaller pieces. Two or more computers could be used in parallel to process and analyze these sub-images based on different requirements. The approach can be applicable in other cases whereas the established set of rules can be adopted in similar study areas. More experiments will be carried out in future studies to prove its feasibility.http://dx.doi.org/10.1080/19475705.2016.1171257Seismic zoneslandslidesgeomorphologyremote sensingearthquake |
| spellingShingle | Jing Sun Tuong Thuy Vu Distributed and hierarchical object-based image analysis for damage assessment: a case study of 2008 Wenchuan earthquake, China Geomatics, Natural Hazards & Risk Seismic zones landslides geomorphology remote sensing earthquake |
| title | Distributed and hierarchical object-based image analysis for damage assessment: a case study of 2008 Wenchuan earthquake, China |
| title_full | Distributed and hierarchical object-based image analysis for damage assessment: a case study of 2008 Wenchuan earthquake, China |
| title_fullStr | Distributed and hierarchical object-based image analysis for damage assessment: a case study of 2008 Wenchuan earthquake, China |
| title_full_unstemmed | Distributed and hierarchical object-based image analysis for damage assessment: a case study of 2008 Wenchuan earthquake, China |
| title_short | Distributed and hierarchical object-based image analysis for damage assessment: a case study of 2008 Wenchuan earthquake, China |
| title_sort | distributed and hierarchical object based image analysis for damage assessment a case study of 2008 wenchuan earthquake china |
| topic | Seismic zones landslides geomorphology remote sensing earthquake |
| url | http://dx.doi.org/10.1080/19475705.2016.1171257 |
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