| Title |
xperiment on Low Light Image Enhancement and Feature Extraction Methods for Rover Exploration in Lunar Permanently Shadowed Region |
| Authors |
박재민(Park, Jae-Min) ; 홍성철(Hong, Sungchul) ; 신휴성(Shin, Hyu-Soung) |
| DOI |
https://doi.org/10.12652/Ksce.2022.42.5.0741 |
| Keywords |
달 탐사; 영구음영지역; 저조도 영상강화 기법; 특징점 추출 및 정합 기법 |
| Abstract |
Major space agencies are planning for the rover-based lunar exploration since water-ice was detected in permanently shadowed regions (PSR). Although sunlight does not directly reach the PSRs, it is expected that reflected sunlight sustains a certain level of low-light environment. In this research, the indoor testbed was made to simulate the PSR’s lighting and topological conditions, to which low light enhancement methods (CLAHE, Dehaze, RetinexNet, GLADNet) were applied to restore image brightness and color as well as to investigate their influences on the performance of feature extraction and matching methods (SIFT, SURF, ORB, AKAZE). The experimentresults show that GLADNet and Dehaze images in order significantly improve image brightness and color. However, the performance of the feature extraction and matching methods were improved by Dehaze and GLADNet images in order, especially for ORB and AKAZE. Thus, in the lunar exploration, Dehaze is appropriate for building 3D topographic map whereas GLADNet is adequate for geological investigation. |