Digital Elevation Quality Derived from Medium-Format Digital Cameras

Tian-Yuan Shih*, J. Y. Wu, Tee-Ann Teo, J. C. Tsai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Medium-format digital cameras are a useful tool in airborne lidar missions to produce digital ortho-images. This study investigates the quality of digital elevation models (DEMs) and digital surface models (DSMs) derived from such cameras. An image-matching strategy is used to produce height information from highly overlapping images and the quality of the derived height information is analysed using synchronous lidar point clouds as the reference data. The evaluation focused on various types of land cover and DEM generation methods. The RMSE between lidar and image-derived height information for two datasets was 0·054% and 0·027% of the flying height in flat, bare-earth areas, but studies with manually edited vegetated areas using stereo photogrammetry revealed high uncertainties, especially in steep terrain.

Original languageEnglish
Pages (from-to)416-435
Number of pages20
JournalPhotogrammetric Record
Volume28
Issue number144
DOIs
StatePublished - 1 Dec 2013

Keywords

  • Automated matching
  • Digital elevation model
  • Image matching
  • Lidar
  • Medium-format cameras

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