Jul 2026· The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences· Vol XLIX-B1-2026, pp. 489-495· 0 citations· 6 references
Abstract
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.
Abstract. The radiometric adjustment of aerial imagery is a process of very high importance considering the influences this step can generate not only on the look of the image data (white balance), but even more importantly on derived information like indices (NDVI). In comparison to the Aerial Triangulation where it i...
S. Scholz, M. Muick· The International Archives o...· 0 citations
Geometric accuracy assessment is a fundamental prerequisite for the application of high-resolution optical satellite imagery, yet it remains particularly challenging in the absence of ground control points. This study proposes a consistency-driven accuracy assessment framework for ZY-3 satellite imagery that systematic...
Ying Zhao, Haitao Zhao, Zhi-Zhong Kang et al.· Remote Sensing· 0 citations
Abstract In this paper, experimental results concerning the application of no-reference image quality metrics for automatic quality assessment of reconstructed satellite light detection and ranging (LiDAR) data are discussed. Since satellite LiDARs provide much sparser data compared to airborne systems and their sendin...
Krzysztof Okarma, Mateusz Kopytek, P. Lech et al.· International Journal of App...· 0 citations
High-resolution digital surface models (DSMs) play an important role in urban analysis, 3D building reconstruction, and infrastructure monitoring, yet their availability remains limited due to the high cost and complexity of data acquisition. In contrast, coarse DSMs from commercial satellite missions are widely access...
A. Nicolicioiu, Dominik Narnhofer, Nando Metzger et al.· 0 citations
Remote sensing is widely recognized as a key technology across a wide range of technical and scientific domains, especially in agriculture. Although satellite data have long supported crop monitoring, their limitations in spatial resolution, revisit frequency and cloud coverage have often constrained their applications...
Lorenza Bovio, Victor Miherea, Jannis Fath et al.· Geomatics· 0 citations
Abstract. High revisit-rate Synthetic Aperture Radar (SAR) constellations generate large volumes of imagery that require consistent geolocation accuracy to support applications such as change detection and interferometry. However, variations in orbit determination, attitude knowledge, and external factors such as Globa...
A. Johnsy, Eyrin Kim, Qiaoping Zhang et al.· The International Archives o...· 0 citations
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