Post-disaster building damage detection using multi-source variational domain adaptation

Transferability of Convolutional Neural Network Models for Identifying Damaged Buildings Due to Earthquake

(2021) Wanting Yang et al.   Remote Sensing

MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation

(2021) Sicheng Zhao et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

CNN Algorithm for Roof Detection and Material Classification in Satellite Images

(2021) Jonguk Kim et al.   Electronics

Detection of Earthquake-Induced Building Damages Using Polarimetric SAR Data

(2020) Sang-Eun Park et al.   Remote Sensing

Effects of a natural disaster on mortality risks over the longer term

(2020) Elizabeth Frankenberg et al.   Nature Sustainability

Building Damage Detection from Post-Event Aerial Imagery Using Single Shot Multibox Detector

(2019) Yundong Li et al.   Applied Sciences-Basel

Building Damage Detection via Superpixel-Based Belief Fusion of Space-Borne SAR and Optical Images

(2019) Xiao Jiang et al.   IEEE SENSORS JOURNAL

Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning

(2018) Anand Vetrivel et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep visual domain adaptation: A survey

(2018) Mei Wang et al.   NEUROCOMPUTING

Semisupervised classification of hurricane damage from postevent aerial imagery using deep learning

(2018) Yundong Li et al.   Journal of Applied Remote Sensing

Identifying Collapsed Buildings Using Post-Earthquake Satellite Imagery and Convolutional Neural Networks: A Case Study of the 2010 Haiti Earthquake

(2018) Min Ji et al.   Remote Sensing

Remote Sensing-Based Proxies for Urban Disaster Risk Management and Resilience: A Review

(2018) Saman Ghaffarian et al.   Remote Sensing

The View from Puerto Rico — Hurricane Maria and Its Aftermath

(2017) Carmen D. Zorrilla   NEW ENGLAND JOURNAL OF MEDICINE

A survey of multi-source domain adaptation

(2015) Shiliang Sun et al.   Information Fusion

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE