Marker-Controlled Watershed-Based Segmentation of Multiresolution Remote Sensing Images
Marker-Controlled Watershed-Based Segmentation of Multiresolution Remote Sensing Images
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DOI：
10.1109/tgrs.2014.2367129
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发表时间：
2015-06-01
影响因子：
8.2
通讯作者：
Scarpa, Giuseppe
中科院分区：
文献类型：
--
作者：
Gaetano, Raffaele;Masi, Giuseppe;Scarpa, Giuseppe
提出了一种单分辨率和多分辨率遥感图像分割的新方法。为了保证细节的保存在精细的尺度上，使用基于边缘的分水岭，自动生成的标记，有助于限制过度分割。对于MR图像，全色和多光谱分量被独立处理，提取边缘图以及最终以最高分辨率融合的形态和光谱标记，从而避免由全色锐化引起的任何信息丢失。对象层提取和简单的分类任务的数值结果证明了所提出的技术，以提供准确的分割地图，保留了精细的细节，相反，国家的最先进的产品，可以挑出同样好的对象在非常不同的尺度。
A new technique for the segmentation of single- and multiresolution (MR) remote sensing images is proposed. To guarantee the preservation of details at fine scales, edge-based watershed is used, with automatically generated markers that help in limiting oversegmentation. For MR images, the panchromatic and multispectral components are processed independently, extracting both the edge maps and the morphological and spectral markers that are eventually fused at the highest resolution, thus avoiding any information loss induced by pansharpening. Numerical results on object layer extraction and simple classification tasks prove the proposed techniques to provide accurate segmentation maps, which preserve fine details and, contrary to state-of-the-art products, can single out objects equally well at very different scales.