ABSTRACT Building extraction from very high-resolution (VHR) remotely sensed imagery has been an area of increased interest. One of the main purposes of building extraction is to generate polygonal representations of buildings and identify additional engineering applications. However, the complex backgrounds and defects of target images result in incomplete and false edge extraction, which severely reduces the extraction accuracy. To solve these problems, this paper proposes a refined building extraction method based on the semantic edge-assisted approach from VHR remotely sensed imagery. Object and edge detection models are trained to obtain bounding boxes and the edge strength map, respectively, and then the object detection results are used as constraints to refine the edge strength map and repair any unclosed boundaries. To this end, we propose an incomplete boundary repair algorithm for repairing unclosed boundaries. The Douglas–Peucker (D-P) algorithm is applied to simplify boundaries as a series of points and then further simplifies these points to regularize building boundaries and finally determines the repair lines that conform to the rule of boundary variation. The experimental results indicate that the proposed building extraction method and algorithm can obtain a complete and refined polygon boundary of the target building, which makes the approach very convenient in practical applications.

中文翻译：

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使用语义边缘辅助方法从超高分辨率遥感图像中精细提取建筑物

摘要 从超高分辨率 (VHR) 遥感图像中提取建筑物一直是一个越来越受关注的领域。建筑物提取的主要目的之一是生成建筑物的多边形表示并识别其他工程应用。然而，目标图像的复杂背景和缺陷导致边缘提取不完整和错误，严重降低了提取精度。针对这些问题，本文提出了一种基于 VHR 遥感影像语义边缘辅助方法的精细建筑物提取方法。训练目标和边缘检测模型分别获得边界框和边缘强度图，然后将目标检测结果作为约束来细化边缘强度图并修复任何未闭合的边界。为此，我们提出了一种不完全边界修复算法来修复未闭合的边界。应用Douglas-Peucker（DP）算法将边界简化为一系列点，然后进一步简化这些点以规范建筑物边界，最终确定符合边界变化规则的修复线。实验结果表明，所提出的建筑物提取方法和算法能够得到目标建筑物的完整、细化的多边形边界，使得该方法在实际应用中非常方便。应用Douglas-Peucker（DP）算法将边界简化为一系列点，然后进一步简化这些点以规范建筑物边界，最终确定符合边界变化规则的修复线。实验结果表明，所提出的建筑物提取方法和算法能够得到目标建筑物的完整、细化的多边形边界，使得该方法在实际应用中非常方便。应用Douglas-Peucker（DP）算法将边界简化为一系列点，然后进一步简化这些点以规范建筑物边界，最终确定符合边界变化规则的修复线。实验结果表明，所提出的建筑物提取方法和算法能够得到目标建筑物的完整、细化的多边形边界，使得该方法在实际应用中非常方便。