...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Building Outline Extraction Using a Heuristic Approach Based on Generalization of Line Segments
【24h】

Building Outline Extraction Using a Heuristic Approach Based on Generalization of Line Segments

机译：基于线段归纳的启发式方法提取建筑物轮廓

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Efficient and fully automatic building outline extraction and simplification methods are highly demanded for three-dimensional model reconstruction tasks. In spite of the efforts put into developing such methods, the results of the recently proposed methods are still not satisfactory, especially for satellite images, due to object complexities and the presence of noise. Dealing with this problem, in this article, we propose a new approach that detects rough building boundaries (building mask) from Digital Surface Model data and then refines the resulting mask by classifying the geometrical features of the high spatial resolution panchromatic satellite image. The refined mask represents finer details of the building outlines, which are close to the original building edges. These outlines are then simplified through a parameterization phase wherein a tracing algorithm detects the building boundary points from the refined masks and a set of line segments is fitted to them. After that, for each building, the existing main orientations are determined based on the length and arc lengths of the building's line segments. Our method is able to determine the multiple main orientations of complex buildings. Through a regularization process, the line segments are then aligned and adjusted according to the building's main orientations. Finally, the adjusted line segments are intersected and connected to each other in order to form a polygon representing the building's outlines. Experimental results demonstrate that the computed building outlines are highly accurate and simple, even for large and complex buildings with inner yards.
机译：对于三维模型重建任务，迫切需要高效，全自动的建筑物轮廓提取和简化方法。尽管努力开发这种方法，但是由于对象的复杂性和噪声的存在，最近提出的方法的结果仍然不能令人满意，特别是对于卫星图像。为了解决这个问题，在本文中，我们提出了一种新方法，该方法可以从“数字表面模型”数据中检测出粗糙的建筑物边界（建筑物蒙版），然后通过对高空间分辨率全色卫星图像的几何特征进行分类来细化最终的蒙版。精致的蒙版代表了建筑物轮廓的更精细细节，这些细节接近原始建筑物边缘。然后，通过参数化阶段来简化这些轮廓，在该阶段中，跟踪算法会从精炼的蒙版中检测建筑物边界点，并将一组线段拟合到这些轮廓上。此后，对于每座建筑物，根据建筑物线段的长度和弧长确定现有的主要方向。我们的方法能够确定复杂建筑物的多个主要方向。通过正则化过程，然后根据建筑物的主要方向对齐并调整线段。最后，将调整后的线段相交并相互连接，以形成代表建筑物轮廓的多边形。实验结果表明，即使对于带有内部院子的大型复杂建筑物，所计算的建筑物轮廓也非常准确且简单。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号