Earticle

초록

영어

CRInSAR is a newly developed technique to monitor ground deformation. In CRInSAR algorithm, the identification of Corner Reflectors in SAR images is necessary. Due to the uncertainty of traditional identification method, a new method based on the intensity and correlation coefficient of each CR candidates in SAR images is presented. The method has been successfully used to determine the locations of 11 CRs installed along a highway in six SAR images over the study area. The results show that the identification accuracy of the new method is about 1 pixel. It is effective and reliable especially in the area with lots of lightspots around the CR points. The method proposed can play important role in the highway deformation monitoring within CRInSAR algorithm.

목차

Abstract
 1. Introduction
 2. Double Thresholding Algorithm (DTA) to Identify the CR Points
  2.1. Principles
  2.2 Operating Process of the Algorithm
 3. Experiment
  3.1. The Installation and Design of CR
  3.2. Identification of CR Points
  3.3. Validation
 4. Conclusions
 Acknowledgements
 References

키워드

저자

• Xue Min Xing [ Key Laboratory of Special Environment Road Engineering of Hunan Province, Changsha University of Science & Technology, Changsha, 410004, China, Changsha University of Science & Technology, Changsha, 410004, China, School of Info-Physics and Surveying Engineering, Central South University, Changsha 410083, China ]
• De Bao Wen [ Changsha University of Science & Technology, Changsha, 410004, China ]
• Fang Bin Zhou [ Changsha University of Science & Technology, Changsha, 410004, 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