Infrastructure assessment for disaster management using multi-sensor and multi-temporal remote sensing imagery

Publication: Research - peer-reviewJournal article – Annual report year: 2011

View graph of relations

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.
Original languageEnglish
JournalInternational Journal of Remote Sensing
Publication date2011
Volume32
Issue23
Pages8575-8594
ISSN0143-1161
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 4
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

ID: 6225608