Please use this identifier to cite or link to this item: https://ea.donntu.edu.ua/jspui/handle/123456789/19740
Title: Новые методы сжатия временных рядов экологических показателей
Authors: Чуприн, В.И.
Родригес Залепинос, Рамон Антонио
Keywords: time series, lossless compression, Huffman coding, arithmetic compression, floating-point data, Aura, TERRA, MODIS, OMI
Issue Date: 2012
Publisher: Донецкий национальный технический университет
Series/Report no.: СИСТЕМНИЙ АНАЛІЗ ТА ІНФОРМАЦІЙНІ ТЕХНОЛОГІЇ У НАУКАХ ПРО ПРИРОДУ ТА СУСПІЛЬСТВО;№1(2)-2(3)'2012
Abstract: The paper analyzes storage peculiarities of satellite Earth remote sensing data time series. We propose methods for their compression based on the discovered peculiarities exploiting different schemes of Huffman coding. One of the proposed methods reaches 6% increase in the compression ratio (93%) in contrast to the deflate method used in Java SE6 (87%), for a time series of aerosol optical thickness derived from MODIS radiometer of TERRA satellite. Further improvement can be achieved by using the entropy coding of floating point numbers.
URI: http://ea.donntu.edu.ua/handle/123456789/19740
Appears in Collections:статті кафедри комп'ютерних систем моніторингу

Files in This Item:
File Description SizeFormat 
C5_02_Chuprin.pdf1,15 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.