Earticle

초록

영어

Synthetic aperture sonar (SAS) is a kind of high resolution imaging sonar, but speckle exists in SAS image for that SAS is a coherent imaging system, which makes it very difficult to visually and automatically interpret. In this paper, a fast speckle reduction algorithm for SAS is proposed in GPU environment, which helps to solve the speckle reduction problem of SAS image in real-time. Firstly, the original SAS image is partitioned into small rectangular blocks with partly overlapped and uploaded into the shared memory of GPU by block of threads. Secondly, the Lee filtering process is performed on every blocked SAS image by the multi-core of GPU simultaneously. Finally, the whole processed result is obtained by merging those local filtered images. The feasibility and high efficiency of the method are confirmed by the speckle reduction experiment on the real SAS image.

목차

Abstract
 1. Introduction
 2. CUDA Programming Model
 3. Lee Filtering Algorithm
  3.1 Basic Principle
  3.2 Parallelization
 4. Experiment
 5. Conclusion
 Acknowledgement
 References

키워드

저자

• Xu Kui [ Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan 430033, China ]
• Zhong Heping [ Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan 430033, China ]
• Huang Pan [ Naval Institute of Underwater Acoustic Technology, Naval University of Engineering, Wuhan 430033, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605