Recently, the need for detailed images such as very high-resolution satellite imagery has been increasing, but there is an issue of heavy processing for the image as the size of the file is very big. To address this issue, this study aims to evaluate the image compression method in terms of decreasing the size of the imagery. To assess the reliability of the method in preserving the quality of the compressed image, Structural Similarity Index, Peak Signal-To-Noise Ratio, and Universal Quality Index were applied to the compressed image. The results show that the compressed image successfully decreased up to 95% in the quality value of 5 and the method can preserve the quality of the compressed images very well.


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    Titel :

    Evaluation of Very-high Resolution Satellite Image Compression to Support Agriculture Monitoring


    Beteiligte:


    Erscheinungsdatum :

    26.10.2023


    Format / Umfang :

    1052552 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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