The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1175–1182, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1175-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1175–1182, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1175-2022
 
30 May 2022
30 May 2022

THE EUROSDR TIME BENCHMARK FOR HISTORICAL AERIAL IMAGES

E. M. Farella1, L. Morelli1,2, F. Remondino1, J. P. Mills3, N. Haala4, and J. Crompvoets5 E. M. Farella et al.
  • 13D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy
  • 2Dept. of Civil, Environmental and Mechanical Engineering (DICAM), University of Trento, Italy
  • 3School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom
  • 4Institute for Photogrammetry, University of Stuttgart, Germany
  • 5Public Governance Institute, KU Leuven, Belgium

Keywords: benchmark, historical aerial images, aerial triangulation, DSM, DTM, orthophoto, multi-temporal, EuroSDR

Abstract. Automatic photogrammetric processing of historical (or archival) aerial photos is still a challenging task, particularly in cases of missing ancillary information, low radiometric and image quality, limited stereo coverage or large temporal span. However, with recent advances in photogrammetry and Artificial Intelligence (AI) algorithms for image processing and interpretation, an increasing number of applications are now feasible. The article presents the TIME (hisTorical aerIal iMagEs) benchmark (https://time.fbk.eu/), promoted by EuroSDR to explore the potential of historical aerial images. Realized in collaboration with various European NMCAs, the benchmark has garnered aerial image blocks and time series imagery captured since the 1950s. To support the photogrammetric processing of the digitized photos, ancillary data are supplied with available information about flight missions, taking cameras, and ground control points (GCPs). Several diverse investigations have been undertaken with the benchmark datasets, all captured over historical urban areas or landscapes. The paper describes the benchmark datasets and some potential research topics, presenting several tests and analyses realized with the collated and shared data.