2020年SAR水体样本及标签数据集

数据来源于欧空局哨兵1号SAR数据，利用欧空局提供的SNAP专业处理软件对下载的SAR数据进行辐射标定、几何纠正处理。结合Google Earth高分辨率光学图像，进行专家解译，获得水体标签数据，对结果进行裁切得到水体样本及对应的标签数据。数据切片大小为256×256像素。数据与标签共计2000个。

The dataset is derived from the Sentinel-1 Synthetic Aperture Radar (SAR) data of the European Space Agency (ESA). The downloaded SAR data were subjected to radiometric calibration and geometric correction using the professional SNAP software provided by ESA. Combined with the high-resolution optical images from Google Earth, expert interpretation was carried out to acquire water body label data. Subsequently, the processed results were cropped to generate water body samples and their corresponding label data. Each data slice has a size of 256×256 pixels, and there are 2000 pairs of data and labels in total.

搜集汇总

背景与挑战

背景概述

该数据集是2020年11月针对鄱阳湖、洞庭湖等水域的SAR水体样本及标签数据集，基于Sentinel-1 SAR数据，通过SNAP软件进行辐射校准和几何校正处理，并结合Google Earth高分辨率光学图像进行专家解释，生成了2000个256×256像素的图像块，包括SAR图像和对应水体标签。数据集分辨率为20米，主要用于摄影测量与遥感技术领域的水体监测研究，支持不可移动文物自然灾害风险评估项目。