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Comparison of impact of jpeg 2000 lossy compresion with ecw lossy compression to digital elevation model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F12%3A86086602" target="_blank" >RIV/61989100:27350/12:86086602 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of impact of jpeg 2000 lossy compresion with ecw lossy compression to digital elevation model

  • Original language description

    When dealing with a large set of geodata it is always necessary to use compression algorithms to lower their size. There are several algorithms that can be used for aerial (satellite) photos. The algorithms with a best compression ratio are nowadays based on a wavelet technique. Although digital elevation models (DEM) in a GRID form are a bit different to aerial (satellite) photos the wavelet algorithms can be used for a compression of DEM. The compression can be loss or loss less. The paper describes a comparison of two formats based on wavelet algorithm. The first one is well known as JPEG 2000 and the second one is well known as ECW (Enhanced Compression Wavelet). The goal of this research was to determine how the loss compression (high ratio) impacts quality of DEM. OpenJPEG library in GDAL was used to produce JPEG 2000 compressed file and ERDAS ECW SDK was used to produce ECW compressed file. GRASS GIS was used to compare compressed files and the impact of the compression.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    33rd Asian Conference on Remote Sensing 2012, ACRS 2012. Volume 3

  • ISBN

    978-1-62276-974-2

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1871-1875

  • Publisher name

    [s.n.]

  • Place of publication

    [Thajsko]

  • Event location

    Pattaya

  • Event date

    Nov 26, 2012

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article