Lossy compression of Landsat multispectral images

R. Kozhemiakin, S. Abramov, V. Badenko, Blazo Djurovic, I. Djurović, B. Vozel
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引用次数: 9

Abstract

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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陆地卫星多光谱图像的有损压缩
我们考虑了有损压缩在陆地卫星传感器提供的多光谱图像中的实际应用。考虑了两个事实:1)固有噪声的存在及其性质;2)成分相关度较高。这些特性在二维和三维有损压缩中都有不同程度的应用。针对一些压缩比,对所建议的方法进行了比较。研究表明,基于离散余弦变换(DCT)的三维压缩技术可以提供一些好处,但前提是要对子带图像进行适当的分组。
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