面向数据传输的地理栅格数据快速压缩方法

发布时间：2018-05-22 07:12

本文选题：数据压缩 + 两阶段压缩　；参考：《地球信息科学学报》2016年07期

【摘要】：随着对地观测技术的高速发展,高分辨率地理栅格数据已被广泛应用于地貌、环境、水文等领域,传输与存储海量数据亟需通过数据压缩来解决有限信道容量的制约。本文分析了地理栅格数据特征,并基于数据保真性和压缩即时性原则,提出了融合转换压缩和编码压缩的地理栅格数据两阶段压缩方法,并从精度和效率2个视角构建了两阶段压缩方法的评价方法。利用不同大小的规则格网DEM数据,在集群系统上对两阶段压缩方法的数据保真性和压缩性能进行了测试。实验结果表明,本文构建的两阶段压缩方法在数值和地表形态上均有较好的精度,数据保真性高。同时,其压缩率一般在50%以上,解/压速率达到实时层次,能够显著地减少数据传输时间消耗,提高网络传输效率。两阶段压缩方法具有较好的普适性,可为高性能地学并行计算等领域提供技术支撑。
[Abstract]:With the rapid development of Earth observation technology, high-resolution geographic grid data have been widely used in geomorphology, environment, hydrology and other fields. The transmission and storage of massive data urgently need to solve the constraints of limited channel capacity through data compression. In this paper, the features of geographic raster data are analyzed, and based on the principles of data fidelity and compression instantaneity, a two-stage compression method of geographic raster data is proposed, which combines the conversion compression and coding compression. The evaluation method of two-stage compression method is constructed from two angles of accuracy and efficiency. The data fidelity and compression performance of the two-stage compression method are tested on a cluster system using DEM data of different sizes of regular grid. The experimental results show that the proposed two-stage compression method has good accuracy and high fidelity in both numerical and surface morphology. At the same time, the compression ratio is generally more than 50%, and the decompression rate reaches the real-time level, which can significantly reduce the data transmission time consumption and improve the network transmission efficiency. The two-stage compression method has good universality and can provide technical support for high performance geoscience parallel computing and other fields.
【作者单位】：滁州学院安徽地理信息集成应用协同创新中心;
【基金】：国家自然科学基金项目(41501445) 安徽省高等学校自然科学研究项目(KJ2015A171) 测绘遥感信息工程国家重点实验室开放基金项目(14I02) 滁州学院科研启动基金项目(2014qd028)
【分类号】：P208

【相似文献】