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 …
[BOOK][B] LiDAR remote sensing and applications
Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …
ecology, geographic information science, remote sensing, and photogrammetric …
Detection of urban damage using remote sensing and machine learning algorithms: Revisiting the 2010 Haiti earthquake
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
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 …
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 …
A comparative study of texture and convolutional neural network features for detecting collapsed buildings after earthquakes using pre-and post-event satellite …
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 …
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 …
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 …