论文标题
基于图的融合用于多光谱图像中的变更检测
Graph-based fusion for change detection in multi-spectral images
论文作者
论文摘要
在本文中，我们通过提出一个基于图的数据融合的数据驱动框架来解决多光谱图像中变化检测的问题。所提出的方法的主要步骤是：（i）通过每个时间数据内部图表的融合，产生了基于多时间像素的图； （ii）使用NyStröm扩展来获得融合图的特征值和特征向量，并选择了最终更改图。我们根据定性和定量分析验证了两种实际遥感案例的方法。结果证实了所提出的基于图的变更检测算法的潜力优于最先进的方法。
In this paper we address the problem of change detection in multi-spectral images by proposing a data-driven framework of graph-based data fusion. The main steps of the proposed approach are: (i) The generation of a multi-temporal pixel based graph, by the fusion of intra-graphs of each temporal data; (ii) the use of Nyström extension to obtain the eigenvalues and eigenvectors of the fused graph, and the selection of the final change map. We validated our approach in two real cases of remote sensing according to both qualitative and quantitative analyses. The results confirm the potential of the proposed graph-based change detection algorithm outperforming state-of-the-art methods.
