TY - GEN
T1 - Recent Trends and Challenges in Analysis of UAV Aerial Images for Post-Disaster Scene Understanding
AU - Verma, Ujjwal
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Last few years have seen a tremendous increase in natural disasters such as earthquakes, floods, hurricanes, etc., primarily due to climate change. Apart from the steps taken to mitigate climate change, there is also a need for rapid and efficient planning and management of post-disaster relief and rescue efforts. Unmanned Aerial Vehicles (UAV) based system offers mobility, rapid deployment and customized flight path for surveying the disaster affected area. Therefore, images acquired from Unmanned Aerial Vehicles (UAV) may be utilized for post-disaster damage assessment. This work summarizes current methods for assessing damage after an earthquake and flood by analyzing optical UAV aerial images. Moreover, this work highlights the challenges encountered and discusses the possible way forward for a robust postdisaster scene understanding from UAV aerial images.
AB - Last few years have seen a tremendous increase in natural disasters such as earthquakes, floods, hurricanes, etc., primarily due to climate change. Apart from the steps taken to mitigate climate change, there is also a need for rapid and efficient planning and management of post-disaster relief and rescue efforts. Unmanned Aerial Vehicles (UAV) based system offers mobility, rapid deployment and customized flight path for surveying the disaster affected area. Therefore, images acquired from Unmanned Aerial Vehicles (UAV) may be utilized for post-disaster damage assessment. This work summarizes current methods for assessing damage after an earthquake and flood by analyzing optical UAV aerial images. Moreover, this work highlights the challenges encountered and discusses the possible way forward for a robust postdisaster scene understanding from UAV aerial images.
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U2 - 10.1109/IGARSS46834.2022.9883265
DO - 10.1109/IGARSS46834.2022.9883265
M3 - Conference contribution
AN - SCOPUS:85140393743
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4647
EP - 4649
BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Y2 - 17 July 2022 through 22 July 2022
ER -
