A review on synthetic aperture radar-based building damage assessment in disasters
P Ge, H Gokon, K Meguro - Remote Sensing of Environment, 2020 - Elsevier
A prompt and overall understanding of building damages following a disaster is critical, as
they are closely related to casualties. As an important active remote sensing technology …
they are closely related to casualties. As an important active remote sensing technology …
3D gray level co-occurrence matrix and its application to identifying collapsed buildings
With the remarkable progress in access to remote sensing imagery data, nowadays
research very often utilizes more than one image. We are often able to use multitemporal …
research very often utilizes more than one image. We are often able to use multitemporal …
Damaged building extraction using modified mask R-CNN model using post-event aerial images of the 2016 Kumamoto earthquake
Y Zhan, W Liu, Y Maruyama - Remote Sensing, 2022 - mdpi.com
Remote sensing is an effective method of evaluating building damage after a large-scale
natural disaster, such as an earthquake or a typhoon. In recent years, with the development …
natural disaster, such as an earthquake or a typhoon. In recent years, with the development …
Post disaster damage assessment using ultra-high-resolution aerial imagery with semi-supervised transformers
Preliminary damage assessments (PDA) conducted in the aftermath of a disaster are a key
first step in ensuring a resilient recovery. Conventional door-to-door inspection practices are …
first step in ensuring a resilient recovery. Conventional door-to-door inspection practices are …
Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake …
Change detection between images is a procedure used in many applications of remote
sensing data. Among these applications, the identification of damaged infrastructures in …
sensing data. Among these applications, the identification of damaged infrastructures in …
A New Method for The Identification of Earthquake-damaged Buildings Using Sentinel-1 Multi-temporal Coherence Optimized by Homogeneous SAR Pixels and …
Emergency response after earthquakes, especially rapid access to building damage
information, is of great significance to ensure timely rescue and reduce casualties. However …
information, is of great significance to ensure timely rescue and reduce casualties. However …
Neural network fusion processing and inverse mapping to combine multisensor satellite data and analyze the prominent features
In the last decade, the increase of active and passive earth observation satellites has
provided us with more remote sensing data. This fact has led to enhanced interest in the …
provided us with more remote sensing data. This fact has led to enhanced interest in the …
Backscattering Characteristics of SAR Images in Damaged Buildings Due to the 2016 Kumamoto Earthquake
S Cho, H Xiu, M Matsuoka - Remote Sensing, 2023 - mdpi.com
Most research on the extraction of earthquake-caused building damage using synthetic
aperture radar (SAR) images used building damage certification assessments and the EMS …
aperture radar (SAR) images used building damage certification assessments and the EMS …
Novel unsupervised classification of collapsed buildings using satellite imagery, hazard scenarios and fragility functions
Although supervised machine learning classification techniques have been successfully
applied to detect collapsed buildings, there is still a major problem that few publications …
applied to detect collapsed buildings, there is still a major problem that few publications …
Using insar and polsar to assess ground displacement and building damage after a seismic event: Case study of the 2021 baicheng earthquake
X Sun, X Chen, L Yang, W Wang, X Zhou, L Wang… - Remote Sensing, 2022 - mdpi.com
During unexpected earthquake catastrophes, timely identification of damaged areas is
critical for disaster management. On the 24 March 2021, Baicheng county was afflicted by a …
critical for disaster management. On the 24 March 2021, Baicheng county was afflicted by a …