JpGU-AGU Joint Meeting 2017

Presentation information

[EJ] Poster

P (Space and Planetary Sciences) » P-PS Planetary Sciences

[P-PS06] [EJ] Results of Venus science with Akatsuki in orbit for 1.5 year

Sat. May 20, 2017 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall HALL7)

convener:Takehiko Satoh(Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency), Takeshi Horinouchi(Faculty of Environmental Earth Science, Hokkaido University), Masaru Yamamoto(Research Institute for Applied Mechanics, Kyushu University), Kevin McGouldrick(University of Colorado Boulder)

[PPS06-P15] Pointing correction of the cameras onboard Akatsuki using the elliptic limb fitting technique: Accuracy evaluation

*Kazunori Ogohara1, Masahiro Takagi2, Shin-ya Murakami3, Takeshi Horinouchi4, Toru Kouyama5 (1.School of Engineering, University of Shiga Prefecture, 2.Kyoto Sangyo University, 3.JAXA, 4.Hokkaido University, 5.AIST)

Keywords:Akatsuki, Venus, Image Processing

We will report on accuracy of the pointing correction algorithm for cameras onboard Akatsuki. Longitude-latitude maps of radiance or brightness temperature are needed for cloud tracking and analyses of atmospheric waves. We have to estimate the actual pointing of instruments from an image to accurately project the Venus image onto a longitude-latitude map. We have already developed an algorithm for correcting the pointing and proved using VMC-UV images that it has high enough accuracy for cloud tracking. However, we have not estimated the accuracy of pointing correction using images taken by Akatsuki.
We estimate variations of the sub S/C points on images and vectors from Akatsuki to the Venus center by 1000 times trials (Ogohara et al., 2012). The accuracy of pointing correction in the cases of UVI and LIR images is comparable to or better than that in the cases of VMC-UV. The accuracy of pointing correction in the cases of IR2 dayside images become worse than UVI and LIR. We will summarize the accuracy of pointing correction for the 4 cameras including the nightside.