CAJ | 학술논문

由于激光点云离散分布于三维空间，导致特征计算困难，目前针对地面激光扫描点云的直线提取方法普遍存在计算量大、提取错误、或适应性不足等问题。本文提出了一种基于球面投影的单站地面激光点云直线段提取方法：首先将三维点云投影到球面上，球面投影后的三维点云保持了正确的邻接关系，同时也解决了三维数据计算量大的问题；然后，利用球面霍夫变换，正确提取球面投影后点云中的直线段特征；最后，利用稳健的直线拟合算法计算点云中的三维直线段参数。通过对室内室外场景数据的直线段提取试验及与商业软件 Geomagic Studio 等方法的对比试验，验证了本方法的正确性、适用性和准确性。
유우격광점운리산분포우삼유공간，도치특정계산곤난，목전침대지면격광소묘점운적직선제취방법보편존재계산량대、제취착오、혹괄응성불족등문제。본문제출료일충기우구면투영적단참지면격광점운직선단제취방법：수선장삼유점운투영도구면상，구면투영후적삼유점운보지료정학적린접관계，동시야해결료삼유수거계산량대적문제；연후，이용구면곽부변환，정학제취구면투영후점운중적직선단특정；최후，이용은건적직선의합산법계산점운중적삼유직선단삼수。통과대실내실외장경수거적직선단제취시험급여상업연건 Geomagic Studio 등방법적대비시험，험증료본방법적정학성、괄용성화준학성。
Due to the discrete distribution computing errors and lack of adaptabi l ity are ubiquitous in the current straight l ine extraction for TLS data methods.A 3D straight l ine segment extraction method is proposed based on spherical projection for single station terrestrial laser point clouds.Fi rstly,horizontal and vertical angles of each laser point are calculated by means of spherical coordinates, intensity panoramic image according to the two angles is generated.Secondly,edges which include straight l ine features are detected from intensity panoramic image by using of edge detection algorithm.Thi rdly,great ci rcles are detected from edges of panoramic image using spherical Hough transform.According to the axiom that a straight l ine segment in 3D space is a spherical great ci rcle after spherical projection, detecting great ci rcles from spherical projected data sets is essential ly detecting straight l ine segments from 3D data sets without spherical projection.Final ly,a robust 3D straight l ine fitting method is employed to fitting the straight l ines and calculating parameters of the straight l ine segments.Experiments using different data sets and comparison with other methods show the accuracy and appl icabi l ity of the proposed method.