access icon free Lossless compression of hyperspectral imagery via RLS filter

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Inspec keywords: data compression; vectors; adaptive codes; arithmetic codes; image resolution; remote sensing; adaptive filters; geophysical image processing; image coding; correlation methods

Other keywords: hyperspectral imagery lossless compression; recursive least square filter; input vector; local difference; RLS filter; neighbour pixels; adaptive arithmetic encoder; correlation elimination

Subjects: Geophysical techniques and equipment; Image and video coding; Geophysics computing; Computer vision and image processing techniques; Algebra; Geography and cartography computing; Filtering methods in signal processing; Algebra

References

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      • 1. Duan, H., Fang, Y., Huang, B.: ‘Parallel design of JPEG-LS encoder on graphics processing units’, J. Appl. Remote Sens., 2012, 6, pp. 061508-1061508-13 (doi: 10.1117/1.JRS.6.061508).
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      • 4. Mielikainen, J., Toivanen, P.: ‘Lossless compression of hyperspectral images using a quantized index to lookup tables’, IEEE Geosci. Remote Sens. Lett., 2008, 5, (3), pp. 474478 (doi: 10.1109/LGRS.2008.917598).
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      • 3. Mielikainen, J., Huang, B.: ‘Lossless compression of hyperspectral images using clustered linear prediction with adaptive prediction length’, IEEE Geosci. Remote Sens. Lett., 2012, 9, (6), pp. 11181121 (doi: 10.1109/LGRS.2012.2191531).
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      • 2. Sanchez, J., Auge, E., Santalo, J., Blanes, I., Serra-Sagrista, J., Kiely, A.: ‘Review and implementation of the emerging CCSDS Recommended Standard for Multispectral and Hyperspectral Lossless Image Coding’. 2011 1st Int. Conf. Data Compression, Communications and Processing, Palinuro, Italy, June 2011, pp. 224228.
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      • 5. CCSDS: ‘Lossless multispectral and hyperspectral image compression’, 123.0-B-1, CCSDS, 2012.
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      • 6. Lin, C., Huang, Y.: ‘An efficient lossless compression scheme for hyperspectral images using two-stage prediction’, IEEE Geosci. Remote Sens. Lett., 2010, 7, (3), pp. 558562 (doi: 10.1109/LGRS.2010.2041630).
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      • 7. Haykin, S.: ‘Adaptive filter theory’ (House of Electronics Industry, Beijing, 2010, 4th edn).
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