To Expedite Roadway Identification and Damage Assessment in LiDAR 3D Imagery for Disaster Relief Public Assistance
نویسندگان
چکیده
Aerial surveys using LiDAR systems can play a vital role in the quantitative assessment of infrastructure damage caused by hurricanes, floods, and other natural disasters. GmAPD provides high-resolution 3D point-cloud data which enables surveyor to take accurate measurements damages roads, buildings, communication towers, power lines, etc. Due high point cloud density, very large volume is generated during an aerial survey. The collected airborne imaging post-processed with calibration, geo-registration, segmentation. Albeit accurate, extracting useful information from this slow laborious process. For disaster response, methods automating process have spurred development simple, fast algorithms that be used recognize physical structures later assessed for structural damage. In paper, we describe efficient algorithm extract roadways massive Lidar data-set assist Federal Emergency Management Agency (FEMA) assessing road conditions as step toward helping surveyors expedite providing distributing public assistance relief.
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ژورنال
عنوان ژورنال: Infrastructures
سال: 2022
ISSN: ['2412-3811']
DOI: https://doi.org/10.3390/infrastructures7030039