Comprehensive comparison of two image-based point clouds from aerial photos with airborne lidar for large-scale mapping

Comprehensive comparison of two image-based point clouds from aerial photos with airborne lidar for large-scale mapping: Door detection to envelope reconstruction

Widyaningrum, E. (TU Delft Optical and Laser Remote Sensing; Geospatial Information Agency)
Gorte, B.G.H. (TU Delft Optical and Laser Remote Sensing)

2017

The integration of computer vision and photogrammetry to generate three-dimensional (3D) information from images has contributed to a wider use of point clouds, for mapping purposes. Large-scale topographic map production requires 3D data with high precision and accuracy to represent the real conditions of the earth surface. Apart from LiDAR point clouds, the image-based matching is also believed to have the ability to generate reliable and detailed point clouds from multiple-view images. In order to examine and analyze possible fusion of LiDAR and image-based matching for large-scale detailed mapping purposes, point clouds are generated by Semi Global Matching (SGM) and by Structure from Motion (SfM). In order to conduct comprehensive and fair comparison, this study uses aerial photos and LiDAR data that were acquired at the same time. Qualitative and quantitative assessments have been applied to evaluate LiDAR and image-matching point clouds data in terms of visualization, geometric accuracy, and classification result. The comparison results conclude that LiDAR is the best data for large-scale mapping.

Combinatorial geometry
Completeness
Connectivity
Energy minimization
Trajectory

http://resolver.tudelft.nl/uuid:a3ca91b8-c3f3-43fd-8671-65a164cdc1a1

https://doi.org/10.5194/isprs-archives-XLII-2-W7-557-2017

ISPRS

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W7

ISPRS Geospatial Week 2017, 2017-09-18 → 2017-09-22, Wuhan, China

Institutional Repository

conference paper

© 2017 E. Widyaningrum, B.G.H. Gorte