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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-0965-3
DOI :
10.1109/CISP.2012.6469923
