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Rapid Manipulation Method for Massive Remote Sensing Images Based on LRU Algorithm

机译:基于LRU算法的海量遥感影像快速处理方法

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With the rapid development of remote sensing (RS) technology, RS image data is growing larger and larger, which makes general image manipulation method limited in feasibility, speed and efficiency. In this paper, a rapid manipulation method of massive RS data based on Least Recently Used (LRU) algorithm in operating system page scheduling is proposed. Its core content includes data read-write based on memory mapping, data organization based on image pyramid with layers and blocks and caching based on LRU algorithm. The experiment shows that this method can greatly increase the speed and efficiency of massive RS images processing.
机译:随着遥感技术的飞速发展,RS图像数据越来越大,这使得一般的图像处理方法的可行性,速度和效率受到限制。提出了一种基于最近最少使用(LRU)算法的海量RS数据快速处理方法。它的核心内容包括基于内存映射的数据读写,基于具有层和块的图像金字塔的数据组织以及基于LRU算法的缓存。实验表明,该方法可以大大提高海量遥感影像处理的速度和效率。

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