A comprehensive review of earthquake-induced building damage detection with remote sensing techniques
L Dong, J Shan - ISPRS Journal of Photogrammetry and Remote …, 2013 - Elsevier
Earthquakes are among the most catastrophic natural disasters to affect mankind. One of the
critical problems after an earthquake is building damage assessment. The area, amount …
critical problems after an earthquake is building damage assessment. The area, amount …
A survey of mobile laser scanning applications and key techniques over urban areas
Urban planning and management need accurate three-dimensional (3D) data such as light
detection and ranging (LiDAR) point clouds. The mobile laser scanning (MLS) data, with up …
detection and ranging (LiDAR) point clouds. The mobile laser scanning (MLS) data, with up …
Detection of urban damage using remote sensing and machine learning algorithms: Revisiting the 2010 Haiti earthquake
AJ Cooner, Y Shao, JB Campbell - Remote Sensing, 2016 - mdpi.com
Remote sensing continues to be an invaluable tool in earthquake damage assessments and
emergency response. This study evaluates the effectiveness of multilayer feedforward …
emergency response. This study evaluates the effectiveness of multilayer feedforward …
Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images
Point clouds generated from airborne oblique images have become a suitable source for
detailed building damage assessment after a disaster event, since they provide the essential …
detailed building damage assessment after a disaster event, since they provide the essential …
Identifying collapsed buildings using post-earthquake satellite imagery and convolutional neural networks: A case study of the 2010 Haiti earthquake
M Ji, L Liu, M Buchroithner - Remote Sensing, 2018 - mdpi.com
Earthquake is one of the most devastating natural disasters that threaten human life. It is vital
to retrieve the building damage status for planning rescue and reconstruction after an …
to retrieve the building damage status for planning rescue and reconstruction after an …
GeoEye-1 and WorldView-2 pan-sharpened imagery for object-based classification in urban environments
The latest breed of very high resolution (VHR) commercial satellites opens new possibilities
for cartographic and remote-sensing applications. In fact, one of the most common …
for cartographic and remote-sensing applications. In fact, one of the most common …
A comparative study of texture and convolutional neural network features for detecting collapsed buildings after earthquakes using pre-and post-event satellite …
M Ji, L Liu, R Du, MF Buchroithner - Remote Sensing, 2019 - mdpi.com
The accurate and quick derivation of the distribution of damaged building must be
considered essential for the emergency response. With the success of deep learning, there …
considered essential for the emergency response. With the success of deep learning, there …
Advances in fusion of optical imagery and LiDAR point cloud applied to photogrammetry and remote sensing
J Zhang, X Lin - International Journal of Image and Data Fusion, 2017 - Taylor & Francis
ABSTRACT Optical imagery and Light Detection And Ranging (LiDAR) point cloud are two
major data sources in the community of photogrammetry and remote sensing. Optical …
major data sources in the community of photogrammetry and remote sensing. Optical …
Extraction of urban building damage using spectral, height and corner information from VHR satellite images and airborne LiDAR data
X Wang, P Li - ISPRS Journal of Photogrammetry and Remote …, 2020 - Elsevier
Earth observation-based damage assessment has been widely studied in recent years.
Considering that the height and spatial variability of buildings change significantly in …
Considering that the height and spatial variability of buildings change significantly in …