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Conference Papers Year : 2016

Lossy Compression of Landsat Multispectral Images


We consider practical aspects of lossy compression with application to multispectral images provided by Landsat sensor. Two facts are taken into account: 1) the inherent noise presence and its properties; 2) rather high degree of component correlation. These properties in different degree are used in 2D and 3D lossy compression. Comparison of the suggested approaches has been carried out for some compression ratios. It is demonstrated that 3D-compression using techniques based on discrete cosine transform (DCT) can provide some benefits but only under condition of proper grouping of sub-band images.


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Dates and versions

hal-01413287 , version 1 (09-12-2016)


  • HAL Id : hal-01413287 , version 1


Ruslan Kozhemiakin, Sergey Abramov, Vladimir Lukin, Blazo Djurovic, Igor Djurovic, et al.. Lossy Compression of Landsat Multispectral Images. 5th Mediterranean Conference on Embedded Computing (MECO), Jun 2016, Bar, Montenegro. pp.104--107. ⟨hal-01413287⟩
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