论文标题
在卫星图像中建立灾难损害评估，并具有多个颞融合
Building Disaster Damage Assessment in Satellite Imagery with Multi-Temporal Fusion
论文作者
论文摘要
自动变更检测和灾难损害评估目前是需要卫星图像分析师大量劳动力和手动工作的程序。在自然灾害的发生中，及时的变化检测可以挽救生命。在这项工作中，我们报告了有关问题框架，数据处理和培训程序的发现，这些发现特别有助于使用新发布的XBD数据集建立损害评估的任务。我们的见解可导致对XBD基线模型的实质性改善，并且我们在XVIEW2挑战排行榜上得分。我们发布用于竞争的代码。
Automatic change detection and disaster damage assessment are currently procedures requiring a huge amount of labor and manual work by satellite imagery analysts. In the occurrences of natural disasters, timely change detection can save lives. In this work, we report findings on problem framing, data processing and training procedures which are specifically helpful for the task of building damage assessment using the newly released xBD dataset. Our insights lead to substantial improvement over the xBD baseline models, and we score among top results on the xView2 challenge leaderboard. We release our code used for the competition.
