TOWARDS STANDARDIZED EVALUATION OF IMAGE QUALITY FOR AIRBORNE CAMERA SYSTEMS
| Autor: | Henry Meißner, Michael Cramer, Ralf Reulke |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Applied optics. Photonics
010504 meteorology & atmospheric sciences Image quality Computer science Real-time computing 0211 other engineering and technologies ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 01 natural sciences lcsh:Technology Field (computer science) Siemens Star law.invention De-Mosaicing law Angular resolution Image resolution 021101 geological & geomatics engineering 0105 earth and related environmental sciences Signal processing lcsh:T lcsh:TA1501-1820 Resolution (logic) Bar Targets Image Quality Standardized Process lcsh:TA1-2040 Resolving Power State (computer science) Siemens star lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1, Pp 295-300 (2018) |
| ISSN: | 2194-9034 1682-1750 |
| Popis: | Digital airborne camera systems and their high geometric resolution demand for new algorithms and procedures of image data analysis and interpretation. Parameters describing image quality are necessary for various fields of application (e.g. sensor and mission design, sensor comparison, algorithm development, in-orbit-behaviour of instruments). The effective sensor resolution is one important parameter which comprehensively estimates the optical quality of a given imaging sensor-lens combination. Although determination of resolving power is a well-studied field of research, there are still some scientific questions to be answered when it comes to a standardized (eventually absolute) determination. This is also research object of a committee of the “German Institute for Standardization” and the given contribution outlines the current state of investigation concerning effective resolving power for airborne camera systems. Therefore an approach using signal processing techniques to calculate the effective image resolution will be described. The open scientific issues will be introduced, explained and answered to some extend. |
| Databáze: | OpenAIRE |
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