Qualitative Rating of Lossy Compression for Aerial Imagery by NeutrosophicWASPAS Method
Romualdas Bausys · Giruta Kazakeviciute-Januskeviciene
Infinite Study
Ebook
26
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About this ebook
The monitoring and management of consistently changing landscape patterns are accomplished through a large amount of remote sensing data using satellite images and aerial photography that requires lossy compression for effective storage and transmission. Lossy compression brings the necessity to evaluate the image quality to preserve the important and detailed visual features of the data. We proposed and verified a weighted combination of qualitative parameters for the multi-criteria decision-making (MCDM) framework to evaluate the quality of the compressed aerialimages. The aerial imagery of different contents and resolutions was tested using the transform-based lossy compression algorithms.
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