Abstract. Standardized methods for assessing the spatial resolution of airborne photogrammetric systems are essential for ensuring consistent quality in aerial imaging. This study evaluates the use of Siemens stars for empirical estimation of Ground Resolving Distance (GRD) in high-altitude aerial photo missions, based on field experiments conducted in Norway and Denmark during 2023–2025. The results confirm a consistent and expected deviation between Ground Sampling Distance (GSD) and GRD, reinforcing GRD as a critical parameter for planning, procurement, and quality assurance in airborne photo missions. The study also shows that using external reference plates to obtain reliable black and white reference values improves the reliability of GRD estimations while simultaneously enabling using smaller Siemens star. This supports the use of the GRD method as a robust and practical framework for spatial resolution assessment in aerial imagery. The fundamental objective of the project is to establish common recommendations and methodologies for aerial image quality assessment, ultimately contributing to a European-wide GRD based resolution standard. Overall, structured and transparent GRD verification is necessary to ensure consistent quality in airborne optical imagery.
Ivar Oveland, Andreas Prebensen Korsnes, E. Honkavaara et al.· The International Archives o...· 0 citations
Abstract. High-altitude aerial image national mosaics often exhibit visible colour and tone differences caused by atmospheric variability, illumination changes, sensor differences and post-processing workflows. These radiometric inconsistencies negatively influence both visual quality and the comparability of image data across sensors, time and campaigns. This work presents an empirical two-step colour adjustment and radiometric normalisation method for imagery acquired from 2000–3000 m altitude using a large multi-colour ground target designed to provide stable, spatially robust reference statistics. Field reflectance values are measured with a handheld spectrometer and converted to CIELAB coordinates. A global 3D similarity (Helmert) transform aligns measured image colours to ground-truth CIELAB values, followed by local residual chromatic correction using inverse distance weighting. Experiments on aerial datasets demonstrate that the method significantly reduces colour discrepancies at the calibration site.
Ivar Oveland, Steven Yves Le Moan· ISPRS Annals of the Photogra...· 0 citations