SITS-Extreme
收藏arXiv2025-06-13 更新2025-11-28 收录
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https://github.com/hfangcat/SITS-ExtremeEvents
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资源简介：
SITS-Extreme数据集是本文提出的一种框架，旨在利用卫星图像时间序列来检测极端事件。该数据集通过整合多个预先灾难观测，有效地过滤掉无关的变化，隔离与灾难相关的信号，从而实现更准确的检测。该数据集利用了低到中等分辨率的开放源卫星图像，如Sentinel-1和Sentinel-2，以便在全球范围内进行大规模的灾难监测。
The SITS-Extreme dataset is a framework proposed in this paper, aiming to detect extreme events using satellite image time series. By integrating multiple pre-disaster observations, this dataset effectively filters out irrelevant changes and isolates disaster-related signals, thereby enabling more accurate detection. This dataset leverages low-to-medium resolution open-source satellite imagery such as Sentinel-1 and Sentinel-2 to facilitate large-scale global disaster monitoring.
提供机构：
KTH皇家理工学院, 斯德哥尔摩, 瑞典
创建时间：
2025-06-13
