%0 Journal Article
	%A Yoshiaki Takeda and  Norifumi Aoyama and  Takahiro Tanaami and  Syouhei Honda and  Kenta Tabata and  Hiroyuki Kamata
	%D 2012
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 71, 2012
	%T Study on Crater Detection Using FLDA
	%U https://publications.waset.org/pdf/15708
	%V 71
	%X In this paper, we validate crater detection in moon surface image using FLDA. This proposal assumes that it is applied to SLIM (Smart Lander for Investigating Moon) project aiming at the pin-point landing to the moon surface. The point where the lander should land is judged by the position relations of the craters obtained via camera, so the real-time image processing becomes important element. Besides, in the SLIM project, 400kg-class lander is assumed, therefore, high-performance computers for image processing cannot be equipped. We are studying various crater detection methods such as Haar-Like features, LBP, and PCA. And we think these methods are appropriate to the project, however, to identify the unlearned images obtained by actual is insufficient. In this paper, we examine the crater detection using FLDA, and compare with the conventional methods.

	%P 1373 - 1377