Lossy Hyperspectral Image Compression Based on Intraband Prediction and Inter-band Fractal-Reference-Cited by-同舟云学术

Lossy Hyperspectral Image Compression Based on Intraband Prediction and Inter-band Fractal

Published:2018 Issue: Volume: Page:
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Container-title:Proceedings of the Fourth International Conference on Engineering & MIS 2018 - ICEMIS '18
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Author:

Ali Bassam S.¹,Ucan Osman N.²

Affiliation:

1. Istanbul Altinbas University, Turkey-Istanbul, Bağcılar/İstanbul

2. Istanbul Altinbas University, Turkey-Istanbul Bağcılar/İstanbul

Publisher

ACM Press

Reference39 articles.

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2. N. R. Mat Noor and T. Vladimirova, "Investigation into lossless hyperspectral image compression for satellite remote sensing," International Journal of Remote Sensing. 3(14), 5072--5104 (2013).

3. A. Zabala and X. Pons, "Impact of lossy compression on mapping crop areas from remote sensing," International Journal of Remote Sensing. 34(8), 2796--2813 (2013).

4. F. García-Vílchez, J. Muñoz-Marí, M. Zortea, I. Blanes, V. González-Ruiz, G. Camps-Valls, A. Plaza, and J.Serra-Sagristà, "On the impact of lossy compression on hyperspectral image classification and unmixing," IEEE Geoscience and Remote Sensing Letters. 8(2), 253--257 (2011).

5. M. W. Marcellin. JPEG 2000: Image Compression Fundamentals, Standards, and Practice. Springer, (2001). [6] "Information technology - JPEG 2000 image coding system: Extensions," ISO/IEC, 15444-2 (2004).

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