Orthorectification of optical aerial images by GPU acceleration

Ji-cheng QUAN; Ping WANG; Hong-wei WANG

doi:10.3788/OPE.20162411.2863

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Orthorectification of optical aerial images by GPU acceleration

Information science | 更新时间：2020-07-07

- Orthorectification of optical aerial images by GPU acceleration
- Editorial Office of Optics and Precision Engineeri Vol. 24, Issue 11, Pages: 2863-2871(2016)
- 作者机构：
  
  空军航空大学航空航天情报系, 吉林长春 130022
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20162411.2863
  CLC： P237
- Received：13 June 2016，
  
  Accepted：05 August 2016，
  
  Published：25 November 2016
- 稿件说明：
移动端阅览
Ji-cheng QUAN, Ping WANG, Hong-wei WANG. Orthorectification of optical aerial images by GPU acceleration[J]. Editorial office of optics and precision engineeri, 2016, 24(11): 2863-2871.
DOI：

Ji-cheng QUAN, Ping WANG, Hong-wei WANG. Orthorectification of optical aerial images by GPU acceleration[J]. Editorial office of optics and precision engineeri, 2016, 24(11): 2863-2871. DOI： 10.3788/OPE.20162411.2863.

摘要

提出了计算机图形处理器（GPU）加速的光学航空影像正射校正并行算法，以满足获取光学航空影像对实时性的要求并提高对海量影像数据在CPU上串行正射校正的效率。介绍了光学影像正射校正算法原理以及正射校正算法的并行化处理。为减少GPU执行的计算负载，引入“有效像素区域”概念，设计了改进的GPU并行校正算法。通过配置选择以及存储器访问优化进一步提高了算法的执行效率。最后，分析了GPU并行算法的精度，并验证了噪声干扰对算法的影响。实验结果表明，优化的改进GPU并行算法显著提高了正射校正的速度，影像大小为5 000×5 000时，加速比最高可达CPU串行算法的223倍以上。虽然GPU单精度计算和噪声干扰会使影像校正精度有所下降，但尚在误差允许范围之内。该算法能够快速实现光学航空影像的正射校正，校正后的影像满足实际应用需要。

Abstract

An optical aerial image orthorectification parallel algorithm by Graphic Processing Unit(GPU) acceleration was presented to improve the image real-time processing ability and the serial orthorectification efficiency for massive image data on a CPU. The principle of optical image orthorectification algorithm was introduced

and the parallel processing of orthorectification algorithm was described. To reduce the computational load of GPU execution

the concept of "effective pixel region" was introduced and an improved GPU parallel correction algorithm was designed. Then

the efficiency of the algorithm was improved through configuration options and a memory access optimization. Finally

the algorithm precision was analyzed

and impact of the noise on the algorithm was verified. The experimental results show that the optimized improved-GPU parallel algorithm significantly improves the speed of the correction. When the image size is 5 000×5 000

the speed up is 223 times as compared with the CPU serial algorithm. Although the GPU single precision calculation method and noise interference will cause the serious decline of correction precision

it is still in an allowable error range. As a result

the GPU algorithm implements the orthorectification of optical aerial images rapidly and the corrected images satisfy the need of practical applications.

关键词

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references

蒋艳凰,杨学军,易会战. 卫星遥感图像并行几何校正算法研究[J]. 计算机学报,2004,27(7):944-951.

JIANG Y H, YANG X J, YI H ZH. Parallel algorithm of geometrical correction for satellite images[J].Chinese Journal of Computer,2004, 27(7):994-951. (in Chinese)

王海峰,陈庆奎. 图形处理器通用计算关键技术研究综述[J]. 计算机学报,2013,36(4):757-772.

WANG H F, CHEN Q K. General purpose computing of graphics processing unit:a survey[J]. Chinese Journal of Computer, 2013,36(4):757-772. (in Chinese)

方留杨,王密,李德仁. CPU和GPU协同处理的光学卫星遥感影像正射校正方法[J]. 测绘学报,2013,42(5):668-675.

FANG L Y, WANG M, LI D R. A CPU-GPU co-processing orthographic rectification approach for optical satellite imagery[J].Acta Geodaetica et Cartographica sinica,2013,42(5):668-675. (in Chinese)

吴鑫,张建奇,杨琛. Jetson TK1平台实现快速红外图像背景预测算法[J]. 红外与激光工程,2015,44(9):2615-2621.

WU X, ZHANG J Q,YANG CH. Efficient infrared image background prediction with Jetson TK1[J].Infrared and Laser Engineering, 2015,44(9):2615-2621. (in Chinese)

石坤,郝颖明,王明明,等. 海面背景红外实时仿真[J]. 红外与激光工程,2012,41(1):25-29.

SHI K, HAO Y M,WANG M M, et al.. Real-time simulation method of infrared sea background[J].Infrared and Laser Engineering,2012,41(1):25-29. (in Chinese)

朱兵,付飞蚺. 基于GPU的虚拟内窥镜场景实时绘制算法[J]. 液晶与显示,2013,28(1):127-131.

ZHU B,FU F R. Real-time rendering algorithm of scene in virtual endoscopy based on GPU[J].Chinese Journal of Liquid Crystals and Displays,2013,28(1):127-131. (in Chinese)

李大禹. 基于多GPU的液晶自适应光学波前处理器[J]. 液晶与显示,2016,31(5):491-496.

LI D Y. Liquid crystal adaptive optics wavefront processor based on multi-GPU[J]. Chinese Journal of Liquid Crystals and Displays, 2016,31(5):491-496. (in Chinese)

GRANATA D, AMATO U, ALFANO B. MRI denoising by nonlocal means on multi-GPU[J]. Journal of Real-Time Image Processing,2016:1-11.

HERMANN M, SCHULTZ A C,SCHULTZ T, et al.. Accurate interactive visualization of large deformations and variablility in biomedical image ensembles[J].IEEE Transactions on Visualization & Computer Graphics, 2016, 22(1):708-717.

王晶,李仕. 运动模糊视频图像在图形处理器平台上的实时恢复[J]. 光学精密程,2010,18(10):2262-2268.

WANG J,LI SH.Real-time restoration of motion-blurred video images on GPU[J].Opt. Precision Eng.,2010, 18(10):2262-2268. (in Chinese)

李仕,孙辉,张葆. 航空成像像移补偿的并行计算[J]. 光学精密工程, 2009, 17(1):226-230.

LI SH, SUN H, ZHANG B. Parallel restoration for motion-blurred aerial image[J].Opt.Precision Eng.,2009,17(1):226-230. (in Chinese)

李仕,张葆,孙辉. 航空斜视成像异速像移的实时恢复[J]. 光学精密工程,2009,17(4):895-900.

LI SH, ZHANG B, SUN H. Real-time restoration for aerial side-oblique images with different motion rates[J]. Opt.Precision Eng., 2009, 17(4):895-900. (in Chinese)

杨靖宇,张永生,李正国,等. 遥感影像正射纠正的GPU-CPU协同处理研究[J]. 武汉大学:信息科学版,2011,36(9):1043-1046.

YANG J Y, ZHANG Y SH, LI ZH G, et al.. GPU-CPU cooperate processing of RS image ortho-rectification[J]. Geomatics and Information Science of Wuhan University,2011, 36(9):1043-1046.(in Chinese)

JAVIER R S, MARIA C C, JULIO M H. GPU geocorrection for airborne pushbroom imagers[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012,50(11):4409-4419.

ULRIKE THOMAS,FRANZ KURZ,RUPERT MULLER, et al.. GPU-Based orthorectification of digital airbororne camera images in real time[J].The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2008:589-594.

LIN J, LI Y CH LI D L. The orthorectified technology for UAV aerial remote sensing image based on the Programmable GPU[J].35th International Symposium on Remote Sensing of Environment,2014:1-6.

李德仁,王树跟,周月琴. 摄影测量与遥感概论[M]. 第2版.北京:测绘出版社,2008.

LI D R, WANG SH G, ZH Y Q. An Introduction to Photogrammetry and Remote Sensing[M]. 2nd ed. Beijing:Surveying and Mapping Press,2008. (in Chinese)

张祖勋,张剑清. 数字摄影测量学[M]. 武汉:武汉测绘科技大学出版社,1997:218-219.

ZHANG Z X,ZHANG J Q. An Introduction to Digital Photogrammetry[M]. Wuhan:Wuhan Surveying and Mapping Science Technology University Press, 1997:218-219. (in Chinese)

NVIDIA Corporation. CUDA Programming Guide 1.0, http://www.nvidia.com http://www.nvidia.com , 2009(8):11.

马安国,成玉,唐遇星,等. GPU异构系统中的存储层次和负载均衡策略研究[J]. 国防科技大学报,2009,31(5):38-43.

MA A G,CHENG Y, TANG Y X, et al.. Research on memory hierarchy and load balance strategy in heterogeneous system based on GPU[J].Journal of National University Defense Technology, 2009,31(5):38-43. (in Chinese)

邹贤才,李建成,汪海洪,等. OpenMP并行计算在卫星重力数据处理中的应用[J]. 测绘学报,2010,39(6):636-641.

ZOU X C, LI J CH, WANG H H, et al.. Application of parallel computing with OpenMP in data processing for satellite gravity[J].Acta Geodaetica et Cartographica Sinica,2010,39(6):636-641. (in Chinese)

DAGA MAYANK, ASHWIN M AJI FENG WU-CHUN. On the efficacy of a fused CPU+GPU processor for parallel computer[C].Proceeding of the 2011 Symposium on Application Accelerators in High-Performance Computing. Knoxvile, TN, USA, 2011:141-149.

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