TL;DR使用 Sentinel-2 卫星数据和 Random Forests 算法的语义分割技术可用于高精度地图绘制,为农业和经济发展提供一种可行技术。
Abstract
semantic segmentation of land cover classes is fundamental for agricultural
and economic development work, from sustainable forestry to urban planning, yet
existing training datasets have significant limitations. To generate an open
and comprehensive training library of high resolution