Abstract
Abstract. Random noise in aerial and satellite images is one of the factors, decreasing their quality. The noise level assessment in images is paid not enough attention. The method of numerical estimation of random image noise is considered. The object of the study is the image noise estimating method, based on harmonic analysis. The capability of using this method for aerial and satellite image quality assessment is considered. The results of the algorithm testing on model data and on real satellite images with different terrain surfaces are carried out. The accuracy estimating results for calculating the root-mean-square deviation (RMS) of random image noise by the harmonic analysis method are shown.
Highlights
Image’s quality in terms of it’s visual perception is one of the most important characteristics
Random noise affects the interpretation quality of aerial and satellite images, that’s why its level must be determined when performing production works to assess the suitability of this data for creating the final geospatial products based by them
The purpose of the study is to test the reliability of the image noise estimation algorithm based on harmonic analysis and the possibility of its application for assessing the aerial and satellite images quality, obtained for mapping purposes
Summary
Image’s quality in terms of it’s visual perception is one of the most important characteristics It directly affects the quality and volume of information transmitted by images about terrain objects. Random noise affects the interpretation quality of aerial and satellite images, that’s why its level must be determined when performing production works to assess the suitability of this data for creating the final geospatial products based by them. This task arises when performing testing and validation of remote sensing satellite systems that are being put into operation.
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