Hyperspectral image compression using chain codes

HERMILO, SANCHEZ-CRUZ and ISRAEL, CHAVEZ-DELGADO and JUAN HUMBERTO, SOSSA-AZUELA (2017) Hyperspectral image compression using chain codes. In: Fifth International Conference on Advances in Computing, Communication and Information Technology - CCIT 2017, 02-03 September, 2017, Zurich, Switzerland.

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Usually hyperspectral images are managing by the study of many scientific areas, particularly in microscopic pollution part icle content. However, researchers of this field need to handle large amount of data and study the image to recognize the type of particle appeared in environment. In this work we face the problem of hyperspectral image compression, by proposing chain code representations and an entropy encoder. We obtain that the most efficient chain cod e is F8 combined with a context - mix ing algorithm.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: chain codes, hyperspectral images, compression
Depositing User: Mr. John Steve
Date Deposited: 11 Mar 2019 08:31
Last Modified: 11 Mar 2019 08:31
URI: http://publications.theired.org/id/eprint/400

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