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

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

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Infrastructure assessment for disaster management using multi-sensor and multi-temporal remote sensing imagery. / Butenuth, Matthias; Frey, Daniel; Nielsen, Allan Aasbjerg; Skriver, Henning.

In: International Journal of Remote Sensing, Vol. 32, No. 23, 2011, p. 8575-8594.

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

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Author

Butenuth, Matthias; Frey, Daniel; Nielsen, Allan Aasbjerg; Skriver, Henning / Infrastructure assessment for disaster management using multi-sensor and multi-temporal remote sensing imagery.

In: International Journal of Remote Sensing, Vol. 32, No. 23, 2011, p. 8575-8594.

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

Bibtex

@article{19ebd609dbed46f78dd54558eee07f8a,
title = "Infrastructure assessment for disaster management using multi-sensor and multi-temporal remote sensing imagery",
publisher = "Taylor & Francis Ltd.",
author = "Matthias Butenuth and Daniel Frey and Nielsen, {Allan Aasbjerg} and Henning Skriver",
year = "2011",
doi = "10.1080/01431161.2010.542204",
volume = "32",
number = "23",
pages = "8575--8594",
journal = "International Journal of Remote Sensing",
issn = "0143-1161",

}

RIS

TY - JOUR

T1 - Infrastructure assessment for disaster management using multi-sensor and multi-temporal remote sensing imagery

A1 - Butenuth,Matthias

A1 - Frey,Daniel

A1 - Nielsen,Allan Aasbjerg

A1 - Skriver,Henning

AU - Butenuth,Matthias

AU - Frey,Daniel

AU - Nielsen,Allan Aasbjerg

AU - Skriver,Henning

PB - Taylor & Francis Ltd.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www2.imm.dtu.dk/pubdb/views/publication_details.php?id=5955

U2 - 10.1080/01431161.2010.542204

DO - 10.1080/01431161.2010.542204

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

SN - 0143-1161

IS - 23

VL - 32

SP - 8575

EP - 8594

ER -