Research on DEM data coding
Research on DEM data coding
- Author(s): XiaoDong Yang ; Wanggen Wan ; Bin Cui ; KaiYi Zhang
- DOI: 10.1049/cp.2009.1935
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
IET International Communication Conference on Wireless Mobile & Computing (CCWMC 2009) — Recommend this title to your library
Thank you
Your recommendation has been sent to your librarian.
- Author(s): XiaoDong Yang ; Wanggen Wan ; Bin Cui ; KaiYi Zhang Source: IET International Communication Conference on Wireless Mobile & Computing (CCWMC 2009), 2009 p. 241 – 244
- Conference: IET International Communication Conference on Wireless Mobile & Computing (CCWMC 2009)
- DOI: 10.1049/cp.2009.1935
- ISBN: 978 1 84919 138 8
- Location: Shanghai, China
- Conference date: 7-9 Dec. 2009
- Format: PDF
According to the characteristics of DEM data, each normal vector of vertex is calculated, quantified and coded based on multi-resolution wavelet-transform coding. Meanwhile, the data is displayed in three dimensions. This paper focuses on the DEM data coding based on wavelet transform, which enable the model to transmit and to display DEM data progressively. The calculation and coding method of vertex normal vector calculate the lighting effects, and produces the light and shadow effect. The method, proposed in the paper, includes Mipmap texture optimization techniques, and can produce desired effect. This method has a wide application prospect in the digital terrain elevation mapping and SOC chip lithography simulation and other fields.
Inspec keywords: terrain mapping; digital elevation models; image coding; wavelet transforms; optimisation; image resolution; data handling
Subjects: Optimisation techniques; Geography and cartography computing; Image and video coding; Optimisation techniques; Integral transforms; Integral transforms; Geophysical techniques and equipment; Data handling techniques; Computer vision and image processing techniques
Related content
content/conferences/10.1049/cp.2009.1935
pub_keyword,iet_inspecKeyword,pub_concept
6
6