Towards Standardized Evaluation of Image Quality for Airborne Camera Systems

Meißner, Henry; Cramer, Michael; Reulke, Ralf

doi:10.5194/isprs-archives-xlii-1-295-2018

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…Electronic ambient noise can be determined pixel by pixel as part of the Dark Signal Non-Uniformity (DSNU) [9]. Spatial resolution is an essential parameter of imaging systems [10] as it defines a measure of image detail for every image taken by a sensor-lens configuration. Therefore, resolution estimation is important to quantify the potential of aerial camera systems.…”

Section: Image Quality and Spatial Resolutionmentioning

confidence: 99%

Implementation and Validation of a High Accuracy UAV-Photogrammetry Based Rail Track Inspection System

et al. 2021

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The regular inspection of the crane tracks of storage cranes at the Container Terminal Altenwerder (CTA), Hamburg requires high accuracy of measurements to determine its position. The allowed tolerances are in the range of 10 mm in the XY plane on a track length of 300 m. The traditional semi-automatic surveying methods are slow and require the interruption of the activities in the storage blocks. The research project AeroInspekt proposed a fully automatic measurement of the position of the tracks using UAV-based photogrammetry. In this paper, the results of the test campaign, carried out in June 2020, were presented where different cameras (150 mm and 80 mm telelens) and flight speeds (1.1 m/s and 1.9 m/s) at a 35 m flying height were performed. Furthermore, an automated rail delineation in the derived surface model was developed and evaluated with ground reference measurements. The results show that the required accuracy of the rail position with an RMSE of 3 mm in XY plane and 8 mm in altitude can be achieved with comparatively less disruption of regular block activities.

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Section: Image Quality and Spatial Resolutionmentioning

confidence: 99%

Implementation and Validation of a High Accuracy UAV-Photogrammetry Based Rail Track Inspection System

et al. 2021

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“…The theme of mapping image quality assessment raised in sufficient number of scientific works. Most often they concern the estimation of a single criteriaspatial resolution (Lim et al, 2018;Meißner et al, 2018;Orych, A., 2015). However, spatial resolution does not always allow to give a complete description of the image's quality.…”

Section: Introductionmentioning

confidence: 99%

Requirements for Aerial Images Quality, Obtained for Mapping Purposes

Anikeeva¹,

Чибуничев

2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The quality of cartographic products, obtained on base of aerial images, depends on their quality. The image‘s quality can be defined in terms of measurement characteristics and in it’s visual properties. The object of the paper is an aerial image’s quality, concerning its visual perception. The process of topographic aerial images quality assessing is currently not regulated, therefore, this problem becomes particularly relevant today. The article is devoted to development the quality criteria system for aerial images, obtained for mapping purposes, and definition the requirements for them. The analysis of factors affecting the quality of aerial images is carried out, they include natural conditions, technical and technological parameters of aerial surveying and images post-processing. The main imperfections of image quality, appearing as a result of these factors influence are determined – blurring, high level of random image noise, haze, color imbalance, loss of information in shadows and illumination. Methods of identifying these imperfections and assessing their influence on aerial images quality are shown.

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“…In other words, UAV imagery is facing new challenges in terms of describing requirements necessary *Corresponding author. Jaroslav Kubišta, e-mail: kubista.jaroslav@uhul.cz to meet expected quality (Lee & Sung, 2016) or quality standardization (Meißner et al 2018). These challenges would be managed with regard to specific natural conditions.…”

Section: Introductionmentioning

confidence: 99%

Spatial resolution of unmanned aerial vehicles acquired imagery as a result of different processing conditions

Kubišta

Surový

2021

Central European Forestry Journal

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Increasing availability of Unmanned aerial vehicles (UAV) and different software for processing of UAV imagery data brings new possibilities for on-demand monitoring of environment, making it accessible to broader spectra of professionals with variable expertise in image processing and analysis. This brings also new questions related to imagery quality standards. One of important characteristics of imagery is its spatial resolution as it directly impacts the results of object recognition and further imagery processing. This study aims at identifying relationship between spatial resolution of UAV acquired imagery and variables of imagery acquiring conditions, especially UAV flight height, flight speed and lighting conditions. All of these characteristics has been proved as significantly influencing spatial resolution quality and all subsequent data based on this imagery. Higher flight height as well as flight speed brings lower spatial resolution, whereas better lighting conditions lead to better spatial resolution of imagery. In this article we conducted a study testing various heights, flight speeds and light conditions and tested the impact of these parameters on Ground Resolved Distance (GRD). We proved that from among the variables, height is the most significant factor, second position is speed and finally the light condition. All of these factors could be relevant for instance in implementation of UAV in forestry sector, where imagery data must be often collected in diverse terrain conditions and/or complex stand (especially vertical) structure, as well as different weather conditions.

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Towards Standardized Evaluation of Image Quality for Airborne Camera Systems

Cited by 6 publications

References 9 publications

Implementation and Validation of a High Accuracy UAV-Photogrammetry Based Rail Track Inspection System

Implementation and Validation of a High Accuracy UAV-Photogrammetry Based Rail Track Inspection System

Requirements for Aerial Images Quality, Obtained for Mapping Purposes

Spatial resolution of unmanned aerial vehicles acquired imagery as a result of different processing conditions

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