Earthquake-affected building segmentation model
收藏DataCite Commons2026-03-20 更新2026-05-04 收录
下载链接：
https://data.mendeley.com/datasets/8myf3nj6ng/1
下载链接
链接失效反馈官方服务：
资源简介：
This dataset contains the training, validation, and test data used to develop and evaluate a U-Net deep learning (DL) segmentation model for building detection in earthquake-affected areas from very high-resolution WorldView-2 imagery. It consists of satellite image patches and corresponding binary building masks for pixel-level segmentation, representing diverse post-earthquake urban environments. The dataset supports deep learning-based building extraction and damage-related spatial analysis in disaster-affected regions.
提供机构：
Mendeley Data
创建时间：
2026-03-20
