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Title: Infrastructure assessment for disaster management using multi-sensor and multi-temporal remote sensing imagery
Type: Journal articleJournal article
Participant(s):
Forfatter:  Butenuth, Matthias
Technische Universität München, Lehrstuhl für Methodik der Fernerkundung

Forfatter:  Frey, Daniel
Technische Universität München, Lehrstuhl für Methodik der Fernerkundung

Author:  Nielsen, Allan Aasbjerg (Cwisno: 1730)
Technical University of Denmark, National Space Institute
Email:

Author:  Skriver, Henning (Cwisno: 2305)
Technical University of Denmark, National Space Institute
Email:

Abstract: In this paper, a new assessment system is presented to evaluate infrastructure objects such as roads after natural disasters in near-realtime. A particular aim is the exploitation of multi-sensorial and multi-temporal imagery together with further {GIS-}data in a comprehensive assessment framework. The combination is accomplished combining probabilities derived from the different data sets. The assessment system is applied to two different test scenarios evaluating roads after flooding yielding very promising results and evaluation values concerning completeness and correctness. The benefit of the data combination, in particular the multi-temporal component, demonstrates the suitability of the proposed method for different application scenarios.
Published: in journal: International Journal of Remote Sensing (ISSN: 0143-1161) (DOI: http://dx.doi.org/10.1080/01431161.2010.542204), vol: 32, issue: 23, pages: 8575-8594, 2011
DOI:
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