Earticle

초록

영어

The detectors are an important tool in deep space exploration; they can provide a large number of images which contain the ground environment information of celestial body. Bythree-dimensional reconstruction, terrain information can be extracted from these images, such as elevation data and texture data. This paper focuses on an adaptive terrain reconstruction for sequence image. A method, which calculate Binocular geometric model with matching measures of matching points and random sample consensus algorithm, is proposed. On the basic of this method, a densepoints matching method based on epipolar and homography constraints is presented. Besides the selection method of reconstruction image and the terrain reconstruction flow are discussed. The proposed adaptive terrain reconstruction satisfies the automation and real time requirement of some terrain reconstruction task, such as landing filed selection in detector landing, and is experiment and applied into sequence image of detector ChangE III’s landing camera, so as to ensure the safety of detector landing.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Featrue Points Matching Algorithm
  3.1. Accurate Matching Based on Basic Matrix
  3.2. Dense Points matching based on Homography and Epipolar Constraint
 4. Reconstruction Image Selection Method
 5. Adaptive Terrain Reconstruction Flow
 6. Experiment and Application
 7. Conclusions
 Acknowledgement
 References

키워드

저자

• Wang Wei [ School of Information Science and Technology Shijiazhuang Tiedao University Shijiazhuang, Hebei, China ]
• Zhao Wenbin [ School of Information Science and Technology Shijiazhuang Tiedao University Shijiazhuang, Hebei, China ]
• Zhao Zhengxu [ School of Information Science and Technology Shijiazhuang Tiedao University Shijiazhuang, Hebei, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605