多星形约束图割与轮廓规则化的高分遥感影像直角建筑物提取

提出了一种基于多星形约束的图割和轮廓规则化的交互式半自动提取高分影像上直角建筑物的方法。首先，通过人工在建筑物上画一条线的交互方式自动得到包含目标建筑物的影像图块；其次，利用双边滤波对该影像块进行保边去噪预处理并进行超像素分割；再次，以交互线所在的超像素为前景，以交互线所得的建筑物范围与影像块边界之间的超像素为背景，进行基于多星形约束图割方法得到建筑物图斑；最后，利用Harris算子检测图斑上的角点，并对角点分组拟合得到规则的建筑物轮廓。为验证本文方法的有效性，分别对两幅不同地区和不同空间分辨率的高分航空影像进行建筑物提取试验，结果表明，该方法不仅交互简单而且具有高效性、准确性和稳定性。

Right-angle Buildings Extraction from High-resolution Aerial Image Based on Multi-stars Constraint Segmentation and Regularization

This paper proposes a method of semi-automatic right-angle building extraction from very high resolution remote sensing imagery, based on graph cuts with the multi-stars shape constraint and regularization. The framework consists of the following steps:Firstly, the image block containing the target building is obtained by manual interaction. Next, the image block is preprocessed by bilateral filtering. Then the graph cuts with the star shape constraint is used to obtain the building objects.Finally, building object is regularized into real regular shape through corner detection and linear fitting. The experiments performed on two different region and spatial resolution aerial imageries demonstrate the stability and accuracy of the proposed method.