Lossless Compression of Satellite Image Sets Using Spatial Area Overlap Compensation
Lossless Compression of Satellite Image Sets Using Spatial Area Overlap Compensation
复制标题
使用空间区域重叠补偿对卫星图像集进行无损压缩
DOI：
10.1007/978-3-642-21596-4_25
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Howard Cheng
中科院分区：
文献类型：
--
作者：
Vivek Trivedi;Howard Cheng
在本文中，我们提出了一种新的预测技术来压缩一对卫星图像有明显的重叠在下面的空间区域。当该预测技术与现有的无损图像集压缩算法相结合时，其结果明显优于单独压缩图像的结果。即使由于季节和大气变化等因素，两幅图像之间存在显著差异，新的预测技术仍然可以很好地实现显著降低存储需求。
In this paper we present a new prediction technique to compress a pair of satellite images that have significant overlap in the underlying spatial areas. When this prediction technique is combined with an existing lossless image set compression algorithm, the results are significantly better than those obtained by compressing each image individually. Even when there are significant differences between the two images due to factors such as seasonal and atmospheric variations, the new prediction technique still performs very well to achieve significant reduction in storage requirements.