This paper discusses a general methodology for post-tsunami damage assessment and an automatic procedure able to discriminate different kind of damage on built-up structures using VHR satellite data. The procedure for automatic detection of damaged built-up structures has been designed using a multi-criteria approach fusing radiometric, textural and morphological image features related to pre and post disaster data detection. The proposed procedure shows good performances with an estimated overall accuracy equal to 93.97%. The best performances are estimated in the discrimination between non-flooded and flooded built-up structures and in the recognition of collapsed built-up structures with debris in place. Problems of omission error have been detected in the recognition of collapsed built-up structures without debris in place as in the case of completed erased built-up structures placed close to the shoreline.
PESARESI Martino;
GERHARDINGER Andrea;
HAAG Fernand;
2007-12-05
TAYLOR & FRANCIS LTD
JRC31749
0143-1161,
http://dx.doi.org/10.1080/01431160601094492,
https://publications.jrc.ec.europa.eu/repository/handle/JRC31749,
10.1080/01431160601094492,
| Name | Country | City | Type |
|---|
This document is only visible at the Commission level.
You are not authorized to publish or distribute it outside the European Commission.
This is a public document. You can share this publication.
Datasets
| ID | Title | Public URL |
|---|
Dataset collections
| ID | Acronym | Title | Public URL |
|---|
Scripts / source codes
| Description | Public URL |
|---|
Additional supporting files
| File name | Description | File type |
|---|