NAOC Open IR
Shadow–highlight feature matching automatic small crater recognition using high-resolution digital orthophoto map from Chang’E Missions
Wei Zuo1; Chunlai Li1; Lingjie Yu3; Zhoubin Zhang1; Rongwu Wang4; Xingguo Zeng1; Yuxuan Liu1; Yaying Xiong1
2019
Source Publication中国地球化学学报:英文版
ISSN2096-0956
Volume38.0Issue:004Pages:541
AbstractThis paper introduces a new method of small lunar craters’ automatic identification, using digital orthophoto map(DOM) data. The core of the approach is the fact that the lunar exploration DOM data reveal contrasting highlight and shadow characteristics of small craters under sunlight irradiation. This research effort combines image processing and mathematical modeling. Overall it proposes a new planetary data processing approach, to segment and extract the highlight and shadow regions of small craters,using the image gray frequency(IGF) statistical method.IGF can also be applied to identify the coupling relationships between small craters’ shape and their relative features. This paper presents the highlight and shadow pair matching(HSPM) model which manages to perform highprecision automatic recognition of small lunar craters.Testing was performed using the DOM data of Chang’E-2(CE-2). The results have shown that the proposed method has a high level of successful detection rate. The proposed methodology that uses DOM data can complement the drawbacks of the digital elevation model(DEM) that has a relatively high false detection rate. A hybrid fusion model(FUM) that combines both DOM and DEM data, was carried out to simultaneously identify small, medium, and large-sized craters. It has been proven that the FUM generally shows stronger recognition ability compared to previous approaches and it can be adapted for high precision identification of craters on the whole lunar surface.The results meet the requirements for a reliable and accurate exploration of the Moon and the planets.
KeywordMoon Crater recognition Image processing Space exploration
Language英语
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/65841
Collection中国科学院国家天文台
Affiliation1.Key Laboratory of Lunar and Deep Space Exploration,National Astronomical Observatories,Chinese Academy of Sciences
2.中国科学院
3.School of Textile Science and Engineering,Xi'an Polytechnic University
4.College of Textiles,Donghua University
Recommended Citation
GB/T 7714
Wei Zuo,Chunlai Li,Lingjie Yu,等. Shadow–highlight feature matching automatic small crater recognition using high-resolution digital orthophoto map from Chang’E Missions[J]. 中国地球化学学报:英文版,2019,38.0(004):541.
APA Wei Zuo.,Chunlai Li.,Lingjie Yu.,Zhoubin Zhang.,Rongwu Wang.,...&Yaying Xiong.(2019).Shadow–highlight feature matching automatic small crater recognition using high-resolution digital orthophoto map from Chang’E Missions.中国地球化学学报:英文版,38.0(004),541.
MLA Wei Zuo,et al."Shadow–highlight feature matching automatic small crater recognition using high-resolution digital orthophoto map from Chang’E Missions".中国地球化学学报:英文版 38.0.004(2019):541.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wei Zuo]'s Articles
[Chunlai Li]'s Articles
[Lingjie Yu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wei Zuo]'s Articles
[Chunlai Li]'s Articles
[Lingjie Yu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wei Zuo]'s Articles
[Chunlai Li]'s Articles
[Lingjie Yu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.