The development of a new Very High-Resolution (VHR) satellite sensor provides opportunities for mapping more details. The building extraction process is a challenging problem due to the misclassification between buildings and similar spectral objects. The main aim of this study is to introduce an approach to building rooftops border extraction. In this approach, a new index to highlight building areas using the capabilities of the WorldView-2 eight-bands VHR satellite images is presented. The developed index is then integrated into a complete approach to extract borders between buildings and their corresponding shadows. The building’s rooftops boundaries are determined using a novel algorithm. The proposed approach is applied to five study areas and compared with three recent approaches for building extraction. The results of the comparison have illustrated that the proposed approach achieves the highest overall accuracy (average of 92.20%) and has the ability for detecting building rooftops separated from their façades.

新型超高分辨率（VHR）卫星传感器的开发为映射更多细节提供了机会。由于建筑物和相似光谱对象之间的分类错误，建筑物提取过程是一个具有挑战性的问题。这项研究的主要目的是介绍一种提取屋顶边界的方法。通过这种方法，提出了一个新索引，以利用WorldView-2八波段VHR卫星图像的功能来突出显示建筑区域。然后将已开发的索引集成到完整的方法中，以提取建筑物及其对应阴影之间的边界。使用新算法确定建筑物的屋顶边界。提议的方法已应用于五个研究领域，并与三种最新的建筑物提取方法进行了比较。