基于GPU的遥感影像加速处理算法

随着图形处理器(GPU)计算功能的日益强大,人们不再满足仅仅用它来做图形处理,而是越来越多地将其应用在通用计算方面。在遥感影像融合的很多算法中,影像数据都可以被并行的处理。本文针对融合处理中的遥感影像数据源为GPU设计了具有数据级并行性的输入流,介绍了利用OpenGL着色语言在GPU中实现融合算法的过程,实验结果表明基于GPU的IHS融合算法的处理速度在数据量较大时较之基于CPU的算法有明显的优势,而且这种优势随图像数据量的增加而越来越明显。

The Accelerated Fusion Algorithm of Remote Sensing Image Data Based on GPU

Along with the computing capability of Graphic Processing Unit(GPU) getting more powerful,GPU is widely applied to the general purpose computing not just restrict to graph manipulation.Remote sensing image data can be parallel processed in many of the image fusion algorithms。In this paper we designed input streams which process data parallel for GPU for different remote sensing image data source in fusion,and introduced the process of the fusion algorithm based on GPU using GLSL(OpenGL Shading Language),The result shows that this algorithm on GPU is much faster than the previous CPU-based algorithm for large IHS transform and with the fusion iamges getting bigger,the advantage of the velocity is more obvious in GPU implementation.