摘要
针对矢量数据的复杂内部结构以及失真在矢量数据中的特殊表现形式,提出了基于DCT变换的矢量数据有损压缩方案。该方案主要针对自然形成的矢量数据,通过分块将结构复杂的矢量数据划分为定长点序列,通过一个特别的量化表控制有损压缩产生的失真不超出事先给定的指标。实验表明,本方案具有较高的压缩比,且可以通过预期指标控制失真。
A technical framework of DCT-based GIS vector data compression is proposed. DCT is applied to transform vector data into combination of cosine curves, while in this com-bination coefficients are quantified to integers before lossless coding to compressed bit- stream. Experimental results show that this compression framework works well for naturally formed linear vector data with very high compression ratio while its distortion is well con-trolled by predefined thresholds.
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2007年第12期1123-1126,共4页
Geomatics and Information Science of Wuhan University
基金
国家973计划资助项目(2006CB701304)
国家教育部长江学者和创新团队发展计划资助项目(IRT0438)
国家教育部新世纪优秀人才支持计划资助项目(NCET-06-0619)