천문학회지 (Journal of The Korean Astronomical Society)

  • 제55권4호
  • /
  • Pages.87-97
  • /
  • 2022
  • /
  • 1225-4614(pISSN)
  • /
  • 2288-890X(eISSN)
한국천문학회 (The Korean Astronomical Society)
권호 표지
DOI QR코드

DOI QR Code

SPECKLE IMAGING TECHNIQUE FOR LUNAR SURFACES

  • Kim, Jinkyu (School of Space Research, Kyung Hee University) ;
  • Sim, Chae Kyung (Korea Astronomy and Space Science Institute) ;
  • Jeong, Minsup (Korea Astronomy and Space Science Institute) ;
  • Moon, Hong-Kyu (Korea Astronomy and Space Science Institute) ;
  • Choi, Young-Jun (Korea Astronomy and Space Science Institute) ;
  • Kim, Sungsoo S. (School of Space Research, Kyung Hee University) ;
  • Jin, Ho (School of Space Research, Kyung Hee University)
  • 투고 : 2021.10.06
  • 심사 : 2022.06.10
  • 발행 : 2022.08.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Polarimetric measurements of the lunar surface from lunar orbit soon will be available via Wide-Field Polarimetric Camera (PolCam) onboard the Korea Pathfinder Lunar Orbiter (KPLO), which is planned to be launched in mid 2022. To provide calibration data for the PolCam, we are conducting speckle polarimetric measurements of the nearside of the Moon from the Earth's ground. It appears that speckle imaging of the Moon for scientific purposes has not been attempted before, and there is need for a procedure to create a "lucky image" from a number of observed speckle images. As a first step of obtaining calibration data for the PolCam from the ground, we search for the best sharpness measure for lunar surfaces. We then calculate the minimum number of speckle images and the number of images to be shift-and-added for higher resolution (sharpness) and signal-to-noise ratio.

키워드

과제정보

The work by C.K.S. was supported by National Research Foundation of Korea (NRF) grants funded by the Ministry of Science and ICT (2020M1A3B704041713) and the Ministry of Education (2019R1I1A1A01043356). The work by M.J. was supported by the Basic Science Research Program through the Ministry of Education (2019R1I1A2A01059953). The work by S.S.K. was supported by an NRF grant funded by the Ministry of Science and ICT (2019R1A2C1009004). We acknowledge the use of the SELENE (Kaguya) Data Archive for the SELENE/TC Orthogonal Images. SELENE is a Japanese mission developed and operated by JAXA. All data used in this study are archived in the SELENE Data Archive (https://data.darts.isas.jaxa.jp/pub/pds3/).

참고문헌

  1. Baldwin, J. E., Tubbs, R. N., Cox, G. C., et al. 2001, Diffraction-Limited 800 nm Imaging with the 2.56 m Nordic Optical Telescope, A&A, 368, L1
  2. Choi, K.-S., Lee, J.-S., & Ko, S.-J. 1999, New Autofocusing Technique Using the Frequency Selective Weighted Median Filter for Video Cameras, IEEE Trans. Consum. Electron., 45, 820 https://doi.org/10.1109/30.793433
  3. Dollfus, A., & Bowell, E. 1971, Polarimetric Properties of the Lunar Surface and its Interpretation. Part I. Telescopic Observations, A&A, 10, 29
  4. Fried, D. L. 1966, Optical Resolution Through a Randomly Inhomogeneous Medium for Very Long and Very Short Exposures, J. Opt. Soc. Am., 56, 1372
  5. Glindemann, A. 1997, Beating the Seeing Limit-Adaptive Optics on Large Telescopes, Heidelberg Univ. (Germany)
  6. Gross, H., Zugge, H., Peschka, M., et al. 2006, Handbook of Optical Systems, Image Quality Criteria, John Wiley & Sons, Inc., Hoboken, NJ, USA.
  7. Helmli, F. S., & Scherer, S. 2001, Adaptive Shape from Focus with an Error Estimation in Light Microscopy, IEEE Cat., 2001, 188
  8. Isbell, C., Gaddis, L., Garcia, P., et al. 2014, Kaguya Terrain Camera Mosaics, 45th LPSC, 2268
  9. Jeong, M., Kim, S. S., Garrick-Bethell, I., et al. 2015, Multiband Polarimetry of the Lunar Surface. I. Global Properties, ApJS, 221, 16
  10. Korokhin, V. V., & Velikodsky, Yu. I. 2005, Parameters of the Positive Polarization Maximum of the Moon: Mapping, SoSyR, 39, 45
  11. Labeyrie, A. 1970, Attainment of Diffraction Limited Resolution in Large Telescopes by Fourier Analysing Speckle Patterns in Star Images, A&A, 6, 85
  12. Mateos-Perez, J .M., Redondo, R., Nava, R., et al. 2012, Comparative Evaluation of Autofocus Algorithms for a Real-Time System for Automatic Detection of Mycobacterium Tuberculosis, Cytometry, 81A, 213
  13. Mikurda, K., & Der Luhe, O. V. 2006, High Resolution Solar Speckle Imaging With the Extended Knox-Thompson Algorithm, SoPh, 235, 31
  14. Popowicz, A., Radlak, K., Bernacki, K., et al. 2017, Review of Image Quality Measures for Solar Imaging, SoPh, 292, 187
  15. Roberts, L. C., Jr., Perrin, M. D., Marchis, F. 2004, Is That Really Your Strehl ratio?, Advancements in Adaptive Optics, Proc. SPIE, 5490, 504
  16. Shen, C.-H., & Chen, H. H. 2006, Robust Focus Measure for Low-Contrast Images, Digest of Technical Papers International Conference on Consumer Electronics, 69
  17. Stachnik, R., Nisenson, P., Ehn, D., et al. 1977, Speckle Image Reconstruction of Solar Features, Nature, 266, 14
  18. Tenenbaum, J. M. 1970, Accommodation in Computer Vision, PhD thesis, Stanford University, USA
  19. Thelen, A., Frey, S., Hirsch, S., et al. 2009, Improvements in Shape-from-Focus for Holographic Reconstructions with Regard to Focus Operators, Neighborhood-Size, and Height Value Interpolation, IEEE Trans Image Process, 18, 151
  20. Yao, Y., Abidi, B., Doggaz, N., et al. 2006, Evaluation of Sharpness Measures and Search Algorithms for the Auto-Focusing of High-Magnification Images, Visual Information Processing XV, Proc. SPIE, 6246, 62460G
  21. Zhong, L., Tian, Y., & Rao, C. 2014, The Speckle Image Reconstruction of the Solar Small Scale Features, Proc. SPIE, 9301, 93012X