叶状体地面芽植物 hemicryptophyte thallosa
Studying semi-automatic extraction of areal ground features.
3．研究面状地物的半自动提取方法。
参考来源 - 基于地图矢量数据面状地物变化检测技术研究Now how quickly and accurately to extract Area Feature from remote sensing images is still a very important research direction.
现在如何从遥感影像上,快速、准确地提取面状地物信息仍然是一个非常重要的研究方向。
参考来源 - 遥感影像上面状地物信息自动提取方法的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
提出基于地图矢量数据面状地物变化检测的流程。
Putting forward the change detection flow of areal ground features based on vector map data.
利用小波变换和数学形态学的方法对高分辨率遥感影像的面状地物居民地进行识别提取。
This article discusses the method of using Wavelet Transform and Mathematics Morphologic Subject to extract the canal of the area objects on the high resolution remote sensing image.
现在很多专家和研究人员在自己的研究领域设计了很多具有特色的面状地物的提取算法，并取得了很多成果。
Now many experts and researchers have designed a lot of distinctive extraction algorithm in their field to extract area features and made many results.
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