Facets grouping electromagnetic occultation algorithm based on mesh size

Changyong S.; Peilin H.; Jinzu J.

doi:10.1117/12.2203151

3 December 2015 Facets grouping electromagnetic occultation algorithm based on mesh size

Changyong S., Peilin H., Jinzu J.

Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 979433 (2015) https://doi.org/10.1117/12.2203151
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China

Abstract

Through analysis of the electromagnetic occultation algorithm in which Facets are grouping by the overlapping area of facets projection and grid, and occultation is judged among the facets in the same group. The paper puts forward facets grouping electromagnetic occultation algorithm based on mesh size. In the algorithm, the facets are grouping by the location of the grid which facet central points project into, so the calculation of the overlapping area between facet projection and grid is abridged; occultation is judged by the overlap and the depth of field along the direction of the incident wave, the search domain is extended by the mesh size in order to avoid the absence of sheltered facets located in the edge of grids. Finally, the article takes 2 typical examples to analyse the efficiency of the algorithm, the results indicate that the algorithm is efficient.

Citation Download Citation

Changyong S., Peilin H., and Jinzu J. "Facets grouping electromagnetic occultation algorithm based on mesh size ", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 979433 (3 December 2015); https://doi.org/10.1117/12.2203151

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available