Monitoring War Destruction from Space: A Machine Learning Approach

12 October 2020

Papers citing "Monitoring War Destruction from Space: A Machine Learning Approach"

6 / 6 papers shown

Title
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 138 3 0 21 Feb 2025
xBD: A Dataset for Assessing Building Damage from Satellite Imagery Ritwik Gupta Richard Hosfelt Sandra Sajeev N. Patel B. Goodman Jigar Doshi Eric T. Heim Howie Choset Matthew E. Gaston 53 273 0 21 Nov 2019
Domain Adaptation for Visual Applications: A Comprehensive Survey G. Csurka OOD 61 507 0 17 Feb 2017
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment Nazia Attari Ferda Ofli Mohammad Awad J. Lucas Sanjay Chawla 92 44 0 20 Nov 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation Baochen Sun Kate Saenko OOD 97 3,144 0 06 Jul 2016
Automatic Building Extraction in Aerial Scenes Using Convolutional Networks Jiangye Yuan 62 84 0 21 Feb 2016