作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2009, Vol. 35 ›› Issue (7): 261-263. doi: 10.3969/j.issn.1000-3428.2009.07.091

• 开发研究与设计技术 • 上一篇    下一篇

基于GPU的遥感影像数据融合IHS变换算法

卢 俊1,张保明1,黄 薇2,李二森1   

  1. (1. 解放军信息工程大学测绘学院,郑州 450052;2. 总参测绘信息中心,北京 100088)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-04-05 发布日期:2009-04-05

IHS Transform Algorithm of Remote Sensing Image Data Fusion Based on GPU

LU Jun1, ZHANG Bao-ming1, HUANG Wei2, LI Er-sen1   

  1. (1. Institute of Surveying and Mapping, PLA Information Engineering University, Zhengzhou 450052;
    2. Surveying and Mapping Information Center of General Staff, Beijing 100088)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-04-05 Published:2009-04-05

摘要: 提出基于图形处理单元(GPU)的遥感影像IHS融合算法,利用图形硬件的可编程渲染器和其处理数据的并行性,把IHS的正反变换映射到GPU中进行计算。应用RTT和MRT技术实现IHS正反变换中3个分量的并行渲染输出,加速计算过程。实验结果表明,在数据量较大时,该算法的处理速度比基于CPU的算法速度更快。

关键词: 图形处理单元, 渲染到纹理, 多渲染目标

Abstract: This paper designs a remote sensing image data fusion algorithm based on Graphics Processing Unit(GPU) using the programmability of GPU which is a parallel vector processor, and both the IHS and the inverse IHS transform computation are mapped into GPU. It realizes parallel rendering and output of the three components of the IHS and the inverse IHS transform useing Render To Texture(RTT) and Multiple Render Targets(MTR) method to speed up the computation. Result shows that this algorithm on GPU is much faster than the previous CPU-based algorithm for large IHS transform.

Key words: Graphics Processing Unit(GPU), Render To Texture(RTT), Multiple Render Targets(MRT)

中图分类号: