Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar Features

AHN-2 is the second part of the Actueel Hoogtebestand Nederland project, which concerns the acquisition of high-resolution altimetry data over the entire Netherlands using airborne laser scanning. The accuracy assessment of laser altimetry data usually relies on comparing corresponding tie elements, often points or lines, in the overlapping strips. This paper proposes a new approach to strip adjustment and accuracy assessment of AHN-2 data by using planar features. In the proposed approach a transformation is estimated between two overlapping strips by minimizing the distances between points in one strip and their corresponding planes in the other. The planes and the corresponding points are extracted in an automated segmentation process. The point-to-plane distances are used as observables in an estimation model, whereby the parameters of a transformation between the two strips and their associated quality measures are estimated. We demonstrate the performance of the method for the accuracy assessment of the AHN-2 dataset over Zeeland province of The Netherlands. The results show vertical offsets of up to 4 cm between the overlapping strips, and horizontal offsets ranging from 2 cm to 34 cm.

[1]  Damir Latypov,et al.  Estimating relative lidar accuracy information from overlapping flight lines , 2002 .

[2]  R. Roth,et al.  PRACTICAL APPLICATION OF MULTIPLE PULSE IN AIR ( MPIA ) LIDAR IN LARGE-AREA SURVEYS , 2008 .

[3]  John Trinder,et al.  Building detection by fusion of airborne laser scanner data and multi-spectral images : Performance evaluation and sensitivity analysis , 2007 .

[4]  Wolfgang Förstner,et al.  Towards automatic building extraction from high-resolution digital elevation models , 1995 .

[5]  Marc Pierrot Deseilligny,et al.  Solving the strip adjustment problem of 3D airborne lidar data , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[6]  A. F. Habib,et al.  LIDAR STRIP ADJUSTMENT USING CONJUGATE LINEAR FEATURES IN OVERLAPPING STRIPS , 2008 .

[7]  Emmanuel P. Baltsavias,et al.  Airborne laser scanning: basic relations and formulas , 1999 .

[8]  Zhilin Li,et al.  A Split-and-Merge Technique for Automated Reconstruction of Roof Planes , 2005 .

[9]  Ben Gorte,et al.  Registering pointclouds of polyhedral buildings to 2D maps , 2009 .

[10]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[11]  Ana Paula Kersting,et al.  Error budget of lidar systems and quality control of the derived data. , 2009 .

[12]  E. J. Huising,et al.  Errors and accuracy estimates of laser data acquired by various laser scanning systems for topographic applications , 1998 .

[13]  Arno Schäpe,et al.  Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation , 2000 .

[14]  Norbert Pfeifer,et al.  Automatic tie elements detection for laser scanner strip adjustment , 2005 .

[15]  Norbert Pfeifer,et al.  INVESTIGATING ADJUSTMENT OF AIRBORNE LASER SCANNING STRIPS WITHOUT USAGE OF GNSS/IMU TRAJECTORY DATA , 2009 .

[16]  M. Hodgson,et al.  Accuracy of Airborne Lidar-Derived Elevation: Empirical Assessment and Error Budget , 2004 .

[17]  Charles K. Toth,et al.  Improvement of Lidar Data Accuracy Using Lidar-Specific Ground Targets , 2007 .

[18]  Kiyun Yu,et al.  Adjustment of Discrepancies Between LIDAR Data Strips Using Linear Features , 2007, IEEE Geoscience and Remote Sensing Letters.

[19]  H. Maas.  Methods for measuring height and planimetry discrepancies in airborne laserscanner data , 2002 .

[20]  G. Vosselman.  ON THE ESTIMATION OF PLANIMETRIC OFFSETS IN LASER ALTIMETRY DATA , 2002 .

[21]  P. Zingaretti,et al.  Performance evaluation of automated approaches to building detection in multi-source aerial data , 2010 .

[22]  D. Weber,et al.  Evaluation and comparison of spatial interpolators II , 1992 .

[23]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[24]  S. Filin.  Recovery of Systematic Biases in Laser Altimetry Data Using Natural Surfaces , 2003 .

[25]  utrecht, the netherlands , 2007 .

[26]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision (2nd ed) , 2003 .

[27]  Ayman F. Habib,et al.  Alternative Methodologies for the Internal Quality Control of Parallel LiDAR Strips , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[28]  Peter Krzystek,et al.  Lidar Strip Adjustment with Automatically Reconstructed Roof Shapes , 2012 .

[29]  G. Sithole,et al.  Recognising structure in laser scanning point clouds , 2004 .

[30]  M. Triglav-Čekada,et al.  A Simplified Analytical Model for a-priori Lidar Point-positioning Error Estimation and a Review of Lidar Error Sources , 2009 .

[31]  George Vosselman,et al.  Analysis of planimetric accuracy of airborne laser scanning surveys , 2008 .