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

doi:10.13474/j.cnki.11-2246.2020.0104

Abstract

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

CLC Number:

P237

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.

References

[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.