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2011.14004
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Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques
24 November 2020
Jihyeon Janel Lee
Joseph Z. Xu
Kihyuk Sohn
W. Lu
David Berthelot
Izzeddin Gur
Pranav Khaitan
Ke-Wei
Ke Huang
Kyriacos M. Koupparis
Bernhard Kowatsch
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Papers citing
"Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques"
7 / 7 papers shown
Automated Wildfire Damage Assessment from Multi view Ground level Imagery Via Vision Language Models
Miguel Esparza
Archit Gupta
Ali Mostafavi
Kai Yin
Yiming Xiao
132
2
0
02 Sep 2025
An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series
Olivier Dietrich
T. Peters
Vivien Sainte Fare Garnot
Valerie Sticher
Thao T-T Whelan
Konrad Schindler
Jan Dirk Wegner
445
12
0
21 Feb 2025
CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery
Thomas Manzini
Priyankari Perali
Raisa Karnik
Robin Murphy
267
10
0
24 Jul 2024
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning
Yanbing Bai
Xinyi Wu
Lai Xu
Jihan Pei
Erick Mas
Shunichi Koshimura
255
2
0
28 May 2024
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data
Tarun Kalluri
Jihyeon Janel Lee
Kihyuk Sohn
Sahil Singla
Manmohan Chandraker
Joseph Z. Xu
Jeremiah Liu
360
3
0
22 May 2024
Disaster mapping from satellites: damage detection with crowdsourced point labels
Danil Kuzin
Olga Isupova
Brooke D. Simmons
S. Reece
162
8
0
05 Nov 2021
Building Damage Mapping with Self-PositiveUnlabeled Learning
J. Xia
Xiangwei Zhu
B. Adriano
218
4
0
04 Nov 2021
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