试验结果表明,该法较好地避免了过分割现象、效率高,适合遥感影像建筑物的提取。
Experiments show that the method can avoid over-segmentation efficiently, which makes it suitable for the buildings extraction of remote sensing images.
基于灰度形态学,提出一种从高分辨率遥感图像提取道路网络的方法。首先利用灰度形态特征对遥感影像进行分割,进而得到基本的道路网络轮廓。
Based on grey level mathematical morphology, this paper presents a newly developed approach to extract road network from high-resolution remotely sensed image.
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