Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 4647-4649 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781665427920 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia Duration: 17-07-2022 → 22-07-2022 |
Publication series
| Name | International Geoscience and Remote Sensing Symposium (IGARSS) |
|---|---|
| Volume | 2022-July |
Conference
| Conference | 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 |
|---|---|
| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 17-07-22 → 22-07-22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- General Earth and Planetary Sciences
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