DocumentCode
3447636
Title
Visual feature extraction for lunar surface images
Author
Guicai Wang ; Jianguo Tang ; Ying Hou
Author_Institution
Sch. of Inf. Sci. & Eng., HeNan Univ. of Technol., Zhengzhou, China
fYear
2012
fDate
16-18 Oct. 2012
Firstpage
495
Lastpage
499
Abstract
Visual feature extraction is foundation of lunar surface topography reconstruction. The paper studies visual feature extraction for lunar surface images, and then offers the visual feature extraction algorithm for lunar surface images. The experimental results show that the algorithm has good adaptability to illumination change, scale change and rotation transformation in the lunar unstructured environment. Meanwhile, the paper can extract the more accurate visual features of lunar surface images.
Keywords
feature extraction; image reconstruction; lunar surface; surface topography; illumination change; lunar surface images; lunar surface topography reconstruction; lunar unstructured environment; rotation transformation; scale change; visual feature extraction algorithm; Feature extraction; Moon; Robustness; Surface reconstruction; Surface topography; Surface treatment; Epipolar constraint; Lunar rover; Visual feature;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4673-0965-3
Type
conf
DOI
10.1109/CISP.2012.6469923
Filename
6469923
Link To Document