中文摘要：

为了实现对景观连续变化特征与连接特征的描述，并保持与斑块镶嵌特征的空间尺度一致性，该文利用高分辨率遥感数据，采用面向对象分割方法，建立基于Delaunay-Voronoi原理的景观格局定量描述模型，统一表达景观格局的镶嵌、连续以及连接特征；并将此图像分割方法的结果与像素聚合方法的结果进行对比。结果表明：①面向对象的图像分割方法能够更好地保存对景观格局提取至关重要的微细景观特征，并在尺度上推过程中延缓这些细微特征消失；②基于Delaunay-Voronoi数据结构的景观格局模型有利于面向对象影像分析的景观镶嵌、连续和连接特征的混合及其多尺度表达，更适用于高分辨率遥感景观格局信息提取。

英文摘要：

The development of high spatial resolution remote sensing makes it possible to describe the urban fringe landscape pattern at the small scales by using remote sensing images. In this study, focusing on the method for integrating describing landscape patch mosaic, continuum and connectivity characteristics, the authors tried to set up a Delaunay-Voronoi hybrid landscape model based on high spatial resolution imagery object-based analysis. This method was also compared with the traditional pixel aggregation method. The result shows that the image segmentation method can well preserve the tiny critical landscape characteristics and postpone their disappearance during the pushing-up of the scale, and that Delaunay-Voronoi-based data structure is suitable for representing the hybrid landscape model and its multi-scale analysis.