| Authors |
Leberl Franz, Irschara Arnold , Pock Thomas, Meixner Philipp, M. Gruber, S. Scholz, A. Wiechert |
| Appeared in |
Photogrammetric Engineering and Remote Sensing,Vol. 76, No. 10, pp 1123-1134. |
| Date |
2010 |
| Abstract |
Novel automated photogrammetry is based on four
innovations. First is the cost-free increase of overlap
between images when sensing digitally. Second is an
improved radiometry. Third is multi-view matching. Fourth
is the Graphics Processing Unit (GPU), making complex
algorithms for image matching very practical. These innova-
tions lead to improved automation of the photogrammetric
workflow so that point clouds are created at sub-pixel
accuracy, at very dense intervals, and in near real-time,
thereby eroding the unique selling proposition of lidar
scanners.
Two test projects compare point clouds from aerial and
street-side lidar systems with those created from images. We
show that the photogrammetric accuracy compares well with
the lidar-method, yet the density of surface points is much
higher from images, and the throughput is commensurate
with a fully automated all-digital approach. Beyond this
density, we identify 15 additional advantages of the
photogrammetric approach.
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