Dissertation > Excellent graduate degree dissertation topics show

The Research of Orthophoto Generation Based on GPU Parallel Acceleration

Author: MaZhenGuo
Tutor: ChenXinHua
School: Shandong University of Science and Technology
Course: Computer System Architecture
Keywords: Digital Orthophoto Map Parallel Computing CUDA GPU Heterogeneous Programming
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 76
Quote: 0
Read: Download Dissertation

Abstract


DOM(Digital Orthophoto Map) is one the most important achievements in the field of photogrammetry. As the rapid development of technology and economy, how to generate DOM quickly in order to meet the needs of economy and scientific research has become the key target to the photogrammetric researchists and computer workers. However, the period of generating DOM is so long that the deduction of generating time range is the conundrum in this field, due to the limitation of the computer software and hardware and the application of photogrammetry.In recent years, as computer technology develops much quicker, especially the GPU calculation capability, GPU is no longer only used in the image process, but in general-purpose computing. However, due to the absence of programming framework based on GPU hardware platform, the application of GPU in general-purpose computing is hard. The emergence of CUD A provides support for GPU in general-purpose computing. More and more institutions and corporations draw more attention to the advantages of GPU programming, and invests lots of manpower and material resources to welcome a new era of CPU +&GPU programming.Among the digital photogrammetry algorithms of image process, image data can be processed in parallel computing. The main research target of this paper focuses on GPU’s parallel processing features, and has an in-depth research on the realization of the orthophoto generation GPU algorithm about double cubic convolution image interpolation and pixel coordinates. Through the GPU implementation of two types of algorithms, it analyzes the programming features and scopes of application, which gets many achievements.The main works are as follows:1.First introduced the concept of the digital photogrammetry and the DOM;2.Introduced the generative principle of the DOM and GPU’s characteristics;3.Research on the realization of the orthophoto generation GPU algorithm about double cubic convolution image interpolation and pixel coordinates;4.Analysis the results of CUDA transformation.

Related Dissertations

  1. Visual Feedback and Memory Behavior Based GPU Parallel Ant Colony Algorithm,TP301.6
  2. Research on Image Digital Watermarking Technology Based on CUDA,TP309.7
  3. Handwritten Numeral Recognition and Test-Paper Management Based on Neural Network and GPU,TP391.43
  4. Research on GPU-based Parallel Computing on BLAST Program,TP338.6
  5. Research and Realization of GPU Based Medical Image Volume Rendering Algorithm,TP391.41
  6. Research on Medical Ultrasound Imaging Techniques Using Parallel Computing,TP391.41
  7. GPU accelerated computing speed based on FDTD and simulation studies,TN011
  8. Application of CUDA in the Very Short Term Load Forecasting of Multi-node,TM715
  9. Application Research of GPU in Vehicle Detection and Tracking System,TP391.41
  10. Acceleration of X-ray Computed Tomography Reconstruction for Rice Tiller,TP391.41
  11. Study on Dense Stereo Image Matching Based on Parallel Computing,TP391.41
  12. Research of Rapid Intelligent Intrusion Detection Technology,TP393.08
  13. GPU-Based Parallel Optimization of Adaptive Gaussian Mixture Background Modeling Algorithms,TP391.41
  14. Research of Finite Element Method on GPU,O241.82
  15. Research and Design of the Random Number Generator,TP301.6
  16. 3D Virtual Endoscopy of Cardiovascular System,TP391.41
  17. Energy Minimization Based Segmentation and 3-D Visualization for Abdominal CT Image,TP391.41
  18. Research and Implementation of the Gene Bayesian Network Construction Algorithm Based on Multi-core Environment,Q75
  19. Research on Parallel Method for Image Denoising Via Sparse Representations,TP391.41
  20. CUDA-based regular expression matching system design and implementation,TP311.52
  21. White Light Interferometry for Fast Areal Surface Measurement Based on GPGPU,O439

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile