测绘通报 ›› 2022, Vol. 0 ›› Issue (2): 10-15.doi: 10.13474/j.cnki.11-2246.2022.0035

• 第八届测绘科学前沿技术论坛获奖论文 • 上一篇    下一篇

融合高度和光谱信息的倾斜摄影数据建筑物自动提取

王珍1, 张涛1, 丁乐乐1, 潘宇明1, 史芙蓉2   

  1. 1. 天津市勘察设计院集团有限公司, 天津 300191;
    2. 武汉大学测绘遥感信息工程国家重点试验室, 湖北 武汉 430079
  • 收稿日期:2021-05-12 修回日期:2021-12-27 发布日期:2022-03-11
  • 通讯作者: 张涛。E-mail:zhangtao437@163.com
  • 作者简介:王珍(1975-),男,硕士,教授级高级工程师,研究方向为遥感图像处理与应用。E-mail:wangzhen_1026@126.com
  • 基金资助:
    天津市重点研发计划院市合作项目(18YFYSZC00120);天津市重点研发计划科技支撑重点项目(18YFZCSF00620)

Automatic building extraction from oblique photogrammetry data by combining height and spectral information

WANG Zhen1, ZHANG Tao1, DING Lele1, PAN Yuming1, SHI Furong2   

  1. 1. Tianjin Survey Design Institute Group Co., Ltd., Tianjin 300191, China;
    2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
  • Received:2021-05-12 Revised:2021-12-27 Published:2022-03-11

摘要: 建筑物作为三维模型的主体,其矢量化主要依赖人工勾画,虽有采用深度学习等方法进行建筑物提取的研究,但依然需要标注大量样本。针对上述问题,本文以天津市典型区域为试验区,提出一种融合高度和光谱信息的倾斜摄影数据建筑物自动提取方法。首先,通过高度初始分割、植被信息滤除、形态学后处理等,逐步优化建筑物提取结果,实现建筑物信息的自动提取,建筑物的总体识别精度达到94%。然后,通过对建筑物轮廓进行矢量化和规则化,在地理信息平台中实现了建筑物的对象化查询,拓展了实景三维模型的应用深度。

关键词: 建筑物提取, 倾斜摄影, 实景三维模型, 自动化, 矢量化

Abstract: Building is a major component of 3D model and its vectorization mainly relies on manual delineation. Some studies have investigated the building extraction using deep learning methods, however, such methods require large volume of labeled training samples. To solve these problems, this paper proposes a method for automatic building extraction by combining height and spectral information of oblique photogrammetry data in typical areas of Tianjin. The method employes height threshold segmentation, vegetation elimination, and morphological post-processing to gradually refine the building extraction results, which achieves the overall accuracy of 94%. The extracted building footprints are vectorized and regularized, and then the individual building can be queried in geographic information system which can promote the application of 3D real-scene model.

Key words: building extraction, oblique photogrammetry, 3D real-scene model, automation, vectorization

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