Building Tilt Scanning Measurement Based on Binary Linear Regression Analysis

Abstract With the development of modern surveying and mapping technology, 3D laser scanners are increasingly used for building dip scanning. Building inclination characteristics analyzed using three-dimensional point cloud data binary linear regression. It can easily intuitively obtain building. This method extracted Angle from point, line, plane, surface, other angles. Then, a matching based on two dimensions surfaces is proposed, with strong anti-noise ability. An optimal algorithm structural plane surface quadratic regression proposed. Experiments prove anti-interference ability accuracy this method. found that fitting effectively identify noise signal when there lot interference in data. has good