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Remote Sens. 2016, 8(10), 812;

Panoramic Mosaics from Chang’E-3 PCAM Images at Point A

State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China
Computer Vision Group, School of Systems Engineering, University of Reading, Berkshire RG6 6AY, UK
Key Laboratory of Lunar and Deep Space Exploration, Chinese Academy of Sciences, Beijing 100012, China
Center for Hydrogeology and Environment Geology Survey, China Geological Survey, Baoding 071051, China
Author to whom correspondence should be addressed.
Academic Editors: Richard Gloaguen and Prasad S. Thenkabail
Received: 11 March 2016 / Revised: 9 September 2016 / Accepted: 26 September 2016 / Published: 30 September 2016
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This paper presents a unique approach for panoramic mosaics based on Moon surface images from the Chang’E-3 (CE-3) mission, with consideration of the exposure time and external illumination changes in CE-3 Panoramic Camera (PCAM) imaging. The engineering implementation involves algorithms of image feature points extraction by using Speed-Up Robust Features (SURF), and a newly defined measure is used to obtain the corresponding points in feature matching. Then, the transformation matrix is calculated and optimized between adjacent images by the Levenberg–Marquardt algorithm. Finally, an image is reconstructed by using a fade-in-fade-out method based on linear interpolation to achieve a seamless mosaic. The developed algorithm has been tested with CE-3 PCAM images at Point A (one of the rover sites where the rover is separated from the lander). This approach has produced accurate mosaics from CE-3 PCAM images, as is indicated by the value of the Peak Signal to Noise Ratio (PSNR), which is greater than 31 dB between the overlapped region of the images before and after fusion. View Full-Text
Keywords: CE-3; panoramic mosaics; image registration; image fusion CE-3; panoramic mosaics; image registration; image fusion

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wu, F.; Wang, X.; Wei, H.; Liu, J.; Liu, F.; Yang, J. Panoramic Mosaics from Chang’E-3 PCAM Images at Point A. Remote Sens. 2016, 8, 812.

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