Machine learning is being widely applied to analyze satellite data with problems such as classification and feature detection. Unlike traditional image processing algorithms, geospatial applications need to convert the detected objects from a raster form to a geospatial vector form to further analyze it. This gem delivers a simple and light-weight algorithm for delineating the pixels that are marked by ML algorithms to extract geospatial objects from satellite images. The proposed algorithm is exact and users can further apply simplification and approximation based on the application needs.
翻译:与传统的图像处理算法不同,地理空间应用需要将探测到的物体从光栅形式转换为地理空间矢量形式,以便进一步分析。这一宝石提供了一种简单和轻量级的算法,用于分解以ML算法标示的像素,以便从卫星图像中提取地理空间物体。提议的算法是准确的,用户可以根据应用需要进一步应用简化和近似法。