对比Harris算子和Susan算子的建筑物边界规则化方法

doi:10.13474/j.cnki.11-2246.2020.0104

测绘通报 ›› 2020, Vol. 0 ›› Issue (4): 11-15.doi: 10.13474/j.cnki.11-2246.2020.0104

对比Harris算子和Susan算子的建筑物边界规则化方法

王杰茜, 冯德俊, 陈建飞

西南交通大学地球科学与环境工程学院, 四川成都 611756

收稿日期:2019-07-15 修回日期:2020-03-01 发布日期:2020-05-08
通讯作者: 冯德俊。E-mail:fengdj@126.com E-mail:fengdj@126.com
作者简介:王杰茜(1997-),女,硕士生,主要研究方向为GIS与遥感图像处理。E-mail:864940521@qq.com
基金资助:
国家重点研发计划（2016YFC0803105）

A building boundary regularization method by contrasting Harris operator and Susan operator

WANG Jiexi, FENG Dejun, CHEN Jianfei

Faculty of Geosciences and Environmental Engineering, South West Jiaotong University, Chengdu 611756, China

Received:2019-07-15 Revised:2020-03-01 Published:2020-05-08

摘要/Abstract

摘要： 建筑物顶部边界的精确提取在建立数字城市等方面发挥着非常重要的作用。本文针对从遥感影像中粗提取的建筑物边界不规则的问题，结合Harris算子和Susan算子，提出了一种对粗提取后的建筑物边界进行规则化拟合的处理方法。首先对粗提取的建筑物顶部边界进行预处理以剔除噪声影响；然后分别使用Harris算法和Susan算法对预处理后的建筑物边界进行角点检测提取；最后对检测提取的边界角点进行点号排序和规则化拟合连接得到规则的建筑物边界。试验结果表明，通过该方法处理后的建筑物边界平滑且与其实际边界基本一致。

关键词: 建筑物边界, 规则化, 角点检测, Harris算子, Susan算子

Abstract: The precise extraction of the top boundary of a building plays a very important role in establishing a digital city and so on. In order to solve the problem of irregular boundary of buildings extracted from remote sensing images, combined with Harris operator and Susan operator, a method for regular fitting of rough extracted building boundaries is proposed. Firstly, pre-process the rough-extracted top boundary of the building to eliminate noise effects. Then the Harris algorithm and Susan algorithm are used to detect the corners of the pre-processed building boundary respectively. Finally, the corner points of the extracted boundary corner points are sorted and regular fitting is connected to obtain the regular building boundary. The experimental results show that the boundary of the building treated by this method is smooth and basically consistent with the actual boundary of the building.

Key words: building boundary, regularization, corner detection, Harris operator, Susan operator

中图分类号:

P237

王杰茜, 冯德俊, 陈建飞. 对比Harris算子和Susan算子的建筑物边界规则化方法[J]. 测绘通报, 2020, 0(4): 11-15.

WANG Jiexi, FENG Dejun, CHEN Jianfei. A building boundary regularization method by contrasting Harris operator and Susan operator[J]. Bulletin of Surveying and Mapping, 2020, 0(4): 11-15.

参考文献

[1] 朱姝.面向对象的高分遥感影像提取建筑物提取方法研究[D].成都:成都理工大学,2017.
[2] 许潜金.基于高分辨率遥感影像与LiDAR点云的损毁建筑物提取方法研究[D]. 成都:西南交通大学,2015.
[3] SPORTOUCHE H, TUPIN F, DENISE L. A symmetric scheme for building reconstruction from a couple of HR optical and SAR data[C]//Proceedings of 2011 Joint Urban Remote Sensing Event (JURSE). Munich:IEEE, 2011.
[4] WEIDNER U, FORSTNER W. Towards automatic building extraction from high-resolution digital elevation models[J]. ISPRS Journal of Photogrammetry and Remote Sensing,1995,50(4):38-49.
[5] YANG Bisheng, XU Wenxue, DONG Zhen. Automated extraction of building outlines from airborne laser scanning point clouds[J]. IEEE Geoscience & Remote Sensing Letters, 2013, 10(6):1399-1403.
[6] BEGER R, GEDRANGE C, HECHT R, et al. Data fusion of extremely high resolution aerial imagery and LiDAR data for automated railroad centre line reconstruction[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2011, 66(6):S40-S51.
[7] LICHTI D, WENG Q. ISPRS journal of photogrammetry and remote sensing[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2008, 60(5):359-359.
[8] CHEN L C, TEO T A, KUO C Y, et al. Shaping polyhedral buildings by the fusion of vector maps and LiDAR point clouds[J]. Photogrammetric Engineering & Remote Sensing, 2007, 73(9):1147-1157.
[9] 赵小阳, 孙颖. 基于LiDAR点云的建筑物边界提取及规则化[J].地理空间信息, 2016, 14(7):88-90.
[10] 关丽.基于空间语义模型的Quick Bird影像城市房屋信息自动提取研究[D].长春:东北师范大学,2006.
[11] 柳娜, 孙晓亮, 谭毅华. 基于最小外接矩形的直角多边形拟合算法[J]. 计算机科学, 2017(6):300-303,311.
[12] 陈光洲,岳东杰,许颖,等. 基于DSM深度影像的机载LiDAR建筑物边界提取[J]. 勘察科学技术,2016(1):44-46.
[13] 郭珍珍, 俞礼彬, 彭刚跃. 基于机载LiDAR点云数据的建筑物轮廓线规则化[J]. 勘察科学技术, 2017(2):22-25.
[14] HARRIS C, STEPHENS M J. A combined corner and edge detector[C]//Proceedings of the 4th Alvey Vision Conference. Manchester:IEEE,1988:147-151.
[15] 林鹏岳,李玲玲,李翠华.一种改进的快速SUSAN角点检测算法[J].计算机与现代化, 2010(2):66-68.
[16] 董宁宁,王帆,王心醉,等.基于SUSAN +CSS算法的角点检测方法[J].计算机工程,2011,37(S1):263-265.

对比Harris算子和Susan算子的建筑物边界规则化方法

A building boundary regularization method by contrasting Harris operator and Susan operator

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