Emergency  managers  of  today  grapple  with  post-hurricane damage assessment that is often labor-intensive, slow,costly,   and   error-prone.   As   an   important   first   step   towards addressing  the   challenge,   this   paper   presents   the   development of  benchmark  datasets  to  enable  the  automatic  detection  ofdamaged buildings from post-hurricane remote sensing imagerytaken  from  both  airborne  and  satellite  sensors.  Our  work  has two  major  contributions:  (1)  we  propose  a  scalable  framework to  create  benchmark  datasets  of  hurricane-damaged  buildings

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] Youngjun Choe, Valentina Staneva, Tessa Schneider, Andrew Escay, Christopher Haberland, Sean Chen, "Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/1s3n-f891. Accessed: Dec. 14, 2024.
@data{1s3n-f891-18,
doi = {10.21227/1s3n-f891},
url = {http://dx.doi.org/10.21227/1s3n-f891},
author = {Youngjun Choe; Valentina Staneva; Tessa Schneider; Andrew Escay; Christopher Haberland; Sean Chen },
publisher = {IEEE Dataport},
title = {Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery},
year = {2018} }
TY - DATA
T1 - Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery
AU - Youngjun Choe; Valentina Staneva; Tessa Schneider; Andrew Escay; Christopher Haberland; Sean Chen
PY - 2018
PB - IEEE Dataport
UR - 10.21227/1s3n-f891
ER -
Youngjun Choe, Valentina Staneva, Tessa Schneider, Andrew Escay, Christopher Haberland, Sean Chen. (2018). Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery. IEEE Dataport. http://dx.doi.org/10.21227/1s3n-f891
Youngjun Choe, Valentina Staneva, Tessa Schneider, Andrew Escay, Christopher Haberland, Sean Chen, 2018. Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery. Available at: http://dx.doi.org/10.21227/1s3n-f891.
Youngjun Choe, Valentina Staneva, Tessa Schneider, Andrew Escay, Christopher Haberland, Sean Chen. (2018). "Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery." Web.
1. Youngjun Choe, Valentina Staneva, Tessa Schneider, Andrew Escay, Christopher Haberland, Sean Chen. Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/1s3n-f891
Youngjun Choe, Valentina Staneva, Tessa Schneider, Andrew Escay, Christopher Haberland, Sean Chen. "Benchmark Dataset for Automatic Damaged Building Detection from Post-Hurricane Remotely Sensed Imagery." doi: 10.21227/1s3n-f891