改进GAC模型在点云和影像自动提取建筑物边界中的应用

›› 2013, Vol. 42 ›› Issue (3): 0-0.

• 学术论文 • 下一篇

改进GAC模型在点云和影像自动提取建筑物边界中的应用

孙颖¹,张新长²,康停军¹,赵小阳³,张维¹

1. 中山大学
2. 中山大学地理科学与规划学院
3. 广东市城市规划勘测设计研究院

收稿日期:2012-08-30 修回日期:2012-12-06 出版日期:2013-06-20 发布日期:2014-01-23
通讯作者: 张新长 E-mail:eeszxc@mail.sysu.edu.cn
基金资助:
城市边缘区土地利用时空结构变化的分析与模拟;基于多主体系统的区域功能区位选择与演化模拟研究;基于Lidar点云和影像数据的大比例尺DLG生成研究

Improved GAC Model for Automatic Building Extraction from Lidar Point Clouds and Aerial Image

Received:2012-08-30 Revised:2012-12-06 Online:2013-06-20 Published:2014-01-23

摘要/Abstract

摘要： 本文以自动生成测地线活动轮廓（Geodesic Active Contour，简称GAC）模型的初始曲线及改进其外力为出发点，提出了一种基于Lidar点云和随机影像数据，利用改进的GAC模型进行建筑物边界提取的方案。该方案首先利用形态学交替序贯滤波自动获得模型演化的初始曲线，进而利用Lidar深度梯度影像改进模型演化的外力，得到了改进的测地线活动轮廓（Improved Geodesic Active Contour，简称IGAC）模型。仿真实验表明，采用IGAC模型，抑制了弱边界泄漏的问题，提高了建筑物边界提取的完整性和形状精确度。

关键词: GAC模型, 交替序贯滤波, Lidar点云, 航空影像, 建筑物边界提取

Abstract: This paper proposes Improved GAC Model based on the initial curve and the external force，which is a new method for automatic building extraction from Lidar point clouds combined with the aerial image. In this study, the morphological alternating sequential filtering is used to access the initial curve automatically,and then the external force is improved by the Lidar depth gradient image,so the Improved Geodesic Active Contour (IGAC) Model is proposed. Experiment indicates that this method can inhibit the weak boundary leakage and produce high accuracy and completeness of building boundary.

Key words: GAC model, Alternating Sequential Filtering, Lidar point clouds, Aerial image, Building boundary extraction

中图分类号:

P237

孙颖张新长康停军赵小阳张维. 改进GAC模型在点云和影像自动提取建筑物边界中的应用[J]. , 2013, 42(3): 0-0.

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改进GAC模型在点云和影像自动提取建筑物边界中的应用

Improved GAC Model for Automatic Building Extraction from Lidar Point Clouds and Aerial Image

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