Mr. Marcin Walkowiak Profile

Marcin Walkowiak

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Proceedings Article | 27 March 2019 Paper

Evaluation of the interpretability of satellite imagery obtained from open sources of information

Piotr Walczykowski, Marcin Gorka, Michał Kedzierski, Aleksandra Sekrecka, Marcin Walkowiak

Proceedings Volume 11055, 1105513 (2019) https://doi.org/10.1117/12.2525019

KEYWORDS: Image quality, Image processing, Digital image processing, Image fusion, Satellite imaging, Satellites, Earth observing sensors, Spatial resolution, Image filtering, Analytical research

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Satellite imagery obtained from open sources intelligence is of great importance for the security of the state, as the data obtained allow monitoring the location and activity of troops, as well as detecting and identifying objects and military equipment. The evaluation of the quality of these data is an important factor in their practical use. In the world literature, many authors considered the problem of image quality in terms of the spatial resolution assessment, but in this article the research concerned determination of the imagery interpretability and its improvement. The article presents the methods of evaluations and qualitative analysis of reconnaissance imagery. The analysis were carried out both by subjective and objective methods, in order to optimize the individual approach of specialists to the problem being addressed. The subjective assessment method consisted in the visual analysis of the views, which were detailed in the NIIRS. The objective evaluation was made based on the calculation of the metrics characterizing the spectral and spatial quality of the imagery. In addition, the influence of various signal processing methods was studied to improve the quality and potential of image interpretation. Radiometric amplification operations, context transformations and pansharpening were applied. The conducted research work have allowed the development of the concept of methods for improving the image quality, which resulted in their better interpretation. The use of signal processing methods (mainly radiometric amplification and high-pass filtration) resulted in improved image quality in the assessment based on both mathematical indicators and the NIIRS.

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