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 time-consuming and may delay governmental resource allocation. A number of research efforts have proposed frameworks...
Main Authors: | Deepank Kumar Singh, Vedhus Hoskere |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/19/8235 |
Similar Items
-
LR Aerial Photo Categorization by Semi-Supervised Perceptual Feature Selection
by: Yinhai Li, et al.
Published: (2023-01-01) -
Detecting the signs of desertification with Landsat imagery: A semi-supervised anomaly detection approach
by: Fouzi Harrou, et al.
Published: (2024-06-01) -
An Efficient and Uncertainty-Aware Decision Support System for Disaster Response Using Aerial Imagery
by: Junchi Bin, et al.
Published: (2022-09-01) -
MS4D-Net: Multitask-Based Semi-Supervised Semantic Segmentation Framework with Perturbed Dual Mean Teachers for Building Damage Assessment from High-Resolution Remote Sensing Imagery
by: Yongjun He, et al.
Published: (2023-01-01) -
Semi-FCMNet: Semi-Supervised Learning for Forest Cover Mapping from Satellite Imagery via Ensemble Self-Training and Perturbation
by: Beiqi Chen, et al.
Published: (2023-08-01)