航空影像直角房屋轮廓半自动提取
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摘要
以精确提取房屋轮廓为目的,提出了一种航空影像中直角房屋轮廓半自动提取算法。该方法首先通过人工使用鼠标依次在房屋边缘线的大致位置画直线,再利用影像分割分别得到所对应的窗口影像;进而利用LSD算法对窗口影像提取直线;然后以其为初值,在保证其整体位移和数值偏差最小的情况下利用最小二乘算法在原始影像图上进行线拟合和直角化;最后连接角点,完成房屋轮廓信息的提取。试验结果表明,该方法不仅有效地减轻了工作人员的劳动强度,而且定位精度高于人工切准。
In order to extract the contours of the house for the purpose accurately,this paper proposes a semi-automatic extraction algorithm for rectangular house contours in aerial images.The first step of this algorithm is using mouse manually to draw straight lines in the approximate position of house contours in turns,and next step is using image segmentation to achieve the corresponding window images.Then using LSD algorithm to extract straight lines from window images. After that,considering it as the initial value,the least squares algorithm is applied to carry on curve fitting and right angle processing on the original image in case of ensuring its overall displacement and numerical deviation are the minimum. The last step is connecting angular points,and the extraction of the house contours information is done. The experimental results show that this method can reduce labor intensity efficiently and the position accuracy is higher than artificial work.
In order to extract the contours of the house for the purpose accurately,this paper proposes a semi-automatic extraction algorithm for rectangular house contours in aerial images.The first step of this algorithm is using mouse manually to draw straight lines in the approximate position of house contours in turns,and next step is using image segmentation to achieve the corresponding window images.Then using LSD algorithm to extract straight lines from window images. After that,considering it as the initial value,the least squares algorithm is applied to carry on curve fitting and right angle processing on the original image in case of ensuring its overall displacement and numerical deviation are the minimum. The last step is connecting angular points,and the extraction of the house contours information is done. The experimental results show that this method can reduce labor intensity efficiently and the position accuracy is higher than artificial work.
引文
[1]张祖勋.由数字摄影测量的发展谈信息化测绘[J].武汉大学学报(信息科学版),2008,33(2):111-115.
[2]明冬萍,骆剑承,沈占锋,等.高分辨率遥感影像信息提取与目标识别技术研究[J].测绘科学,2005,30(3):18-20.
[3]COTE M,SAEEDI P.Automatic Rooftop Extraction in Nadir Aerial Imagery of Suburban Regions Using Corners and Variational Level Set Evolution[J].IEEETransactions on Geoscience and Remote Sensing,2012,51(1):313-328.
[4]杨化超,邓喀中,张书毕.基于Hough变换的航空影像建筑物半自动提取[J].测绘科学,2006,31(6):93-94.
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[6]胡勇,张孝成,马泽忠,等.无人机遥感影像中农村房屋信息快速提取[J].国土资源遥感,2016,28(3):96-101.
[7]秦永,宋伟东.基于Freeman编码的遥感影像直角型房屋半自动提取方法研究[J].测绘科学,2009,34(6):203-205.
[8]杨贵宝,李瑞俊,高霞.基于Snake和动态规划优化的屋顶轮廓提取算法[J].内蒙古大学学报(自然科学版),2015(6):664-671.
[9]张煜,张祖勋,张剑清.几何约束与影像分割相结合的快速半自动房屋提取[J].武汉大学学报(信息科学版),2000,25(3):238-242.
[10]SAMPATH A,SHAN J.Building Boundary Tracing and Regularization from Airborne Li DAR Point Clouds[J].Photogrammetric Engineering and Remote Sensing,2007,73(7):805-812.
[11]吕凤华,舒宁,龚龑,等.利用多特征进行航空影像建筑物提取[J].武汉大学学报(信息科学版),2017,42(5):656-660.
[12]HAO L,ZHANG Y,CAO Z.Building Extraction from Stereo Aerial Images Based on Multi-layer Line Grouping with Height Constraint[C]∥Geoscience and Remote Sensing Symposium.[S.l.]:IEEE,2016.
[13]GIOI R G V,JAKUBOWICZ J,MOREL J M,et al.LSD:A Line Segment Detector[J].Image Processing on Line,2012,2(4):35-55.
[14]郭仁忠,艾廷华.制图综合中建筑物多边形的合并与化简[J].武汉测绘科技大学学报,2000,25(1):25-30.
[15]王立新,朱伟.基于Arc GIS的1∶5万DLG数据库生成地形图的设计与实现[J].测绘通报,2008(5):58-61.
[16]鲁铁定,宁津生,周世健,等.最小二乘配置的SVD分解解法[J].测绘科学,2008,33(3):47-51.
[2]明冬萍,骆剑承,沈占锋,等.高分辨率遥感影像信息提取与目标识别技术研究[J].测绘科学,2005,30(3):18-20.
[3]COTE M,SAEEDI P.Automatic Rooftop Extraction in Nadir Aerial Imagery of Suburban Regions Using Corners and Variational Level Set Evolution[J].IEEETransactions on Geoscience and Remote Sensing,2012,51(1):313-328.
[4]杨化超,邓喀中,张书毕.基于Hough变换的航空影像建筑物半自动提取[J].测绘科学,2006,31(6):93-94.
[5]SHACKELFORD A K,DAVIS C H.A Combined Fuzzy Pixel-based and Object-based Approach for Classification of High-resolution Multispectral Data over Urban Areas[J].Geoscience and Remote Sensing IEEE Transactions on,2003,41(10):2354-2363.
[6]胡勇,张孝成,马泽忠,等.无人机遥感影像中农村房屋信息快速提取[J].国土资源遥感,2016,28(3):96-101.
[7]秦永,宋伟东.基于Freeman编码的遥感影像直角型房屋半自动提取方法研究[J].测绘科学,2009,34(6):203-205.
[8]杨贵宝,李瑞俊,高霞.基于Snake和动态规划优化的屋顶轮廓提取算法[J].内蒙古大学学报(自然科学版),2015(6):664-671.
[9]张煜,张祖勋,张剑清.几何约束与影像分割相结合的快速半自动房屋提取[J].武汉大学学报(信息科学版),2000,25(3):238-242.
[10]SAMPATH A,SHAN J.Building Boundary Tracing and Regularization from Airborne Li DAR Point Clouds[J].Photogrammetric Engineering and Remote Sensing,2007,73(7):805-812.
[11]吕凤华,舒宁,龚龑,等.利用多特征进行航空影像建筑物提取[J].武汉大学学报(信息科学版),2017,42(5):656-660.
[12]HAO L,ZHANG Y,CAO Z.Building Extraction from Stereo Aerial Images Based on Multi-layer Line Grouping with Height Constraint[C]∥Geoscience and Remote Sensing Symposium.[S.l.]:IEEE,2016.
[13]GIOI R G V,JAKUBOWICZ J,MOREL J M,et al.LSD:A Line Segment Detector[J].Image Processing on Line,2012,2(4):35-55.
[14]郭仁忠,艾廷华.制图综合中建筑物多边形的合并与化简[J].武汉测绘科技大学学报,2000,25(1):25-30.
[15]王立新,朱伟.基于Arc GIS的1∶5万DLG数据库生成地形图的设计与实现[J].测绘通报,2008(5):58-61.
[16]鲁铁定,宁津生,周世健,等.最小二乘配置的SVD分解解法[J].测绘科学,2008,33(3):47-51.