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A New Auto-Extraction Algorithm of Lunar Craters for Chang’E Data Based on the Solar Incidence Angle

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Abstract:

A new algorithm for detecting lunar craters based on the solar incidence angle has been proposed, which converts the Chang’E CCD images to binary images first by detecting edges in the Chang’E CCD images, then the new algorithm calculates the average angle of the solar incidence angles of each edge, Comparing the average angle of each edge with the solar incidence angle of the whole image to delete those noise/false edges of craters. Finally, the common circle fitting has been implemented to detect craters from those edge images. The new algorithm proposed has been tested on different Mare areas and all testing results had shown that the new algorithm could get a satisfying effect.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 599-601)

Pages:

1333-1339

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.599-601.1333

Citation:

Cite this paper

Online since:

August 2014

Authors:

Zi Hao Ren*, Hong Kun Jiang, Wen Liang Du, Xiao Lin Tian, Ao Ao Xu

Keywords:

Chang’E Data, Crater Identification, Solar Incidence Angle

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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