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An Edge Embedded Marker-Based Watershed Algorithm for High Spatial Resolution Remote Sensing Image Segmentation

机译:基于边缘嵌入式标记的分水岭算法用于高空间分辨率遥感图像分割

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摘要

This correspondence proposes an edge embedded marker-based watershed algorithm for high spatial resolution remote sensing image segmentation. Two improvement techniques are proposed for the two key steps of maker extraction and pixel labeling, respectively, to make it more effective and efficient for high spatial resolution image segmentation. Moreover, the edge information, detected by the edge detector embedded with confidence, is used to direct the two key steps for detecting objects with weak boundary and improving the positional accuracy of the objects boundary. Experiments on different images show that the proposed method has a good generality in producing good segmentation results. It performs well both in retaining the weak boundary and reducing the undesired over-segmentation.
机译:该对应关系提出了一种基于边缘嵌入式标记的分水岭算法,用于高空间分辨率的遥感图像分割。针对制造者提取和像素标记这两个关键步骤,提出了两种改进技术,以使其对于高空间分辨率图像分割更加有效。此外,由边缘检测器有把握地嵌入的边缘信息被用于指导检测关键边界弱的物体和提高目标边界的定位精度的两个关键步骤。在不同图像上的实验表明,该方法在产生良好分割效果方面具有很好的通用性。它在保留弱边界和减少不必要的过度分割方面都表现出色。

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