NAOC Open IR
shadowhighlightfeaturematchingautomaticsmallcraterrecognitionusinghighresolutiondigitalorthophotomapfromchangemissions
Zuo Wei1; Li Chunlai1; Yu Lingjie2; Zhang Zhoubin1; Wang Rongwu3; Zeng Xingguo1; Liu Yuxuan1; Xiong Yaying1
2019
Source Publicationactageochimica
ISSN2096-0956
Volume38Issue:4Pages: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.
Language英语
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/49159
Collection中国科学院国家天文台
Affiliation1.中国科学院国家天文台
2.西安工程大学
3.东华大学
First Author AffilicationNational Astronomical Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Zuo Wei,Li Chunlai,Yu Lingjie,et al. shadowhighlightfeaturematchingautomaticsmallcraterrecognitionusinghighresolutiondigitalorthophotomapfromchangemissions[J]. actageochimica,2019,38(4):541.
APA Zuo Wei.,Li Chunlai.,Yu Lingjie.,Zhang Zhoubin.,Wang Rongwu.,...&Xiong Yaying.(2019).shadowhighlightfeaturematchingautomaticsmallcraterrecognitionusinghighresolutiondigitalorthophotomapfromchangemissions.actageochimica,38(4),541.
MLA Zuo Wei,et al."shadowhighlightfeaturematchingautomaticsmallcraterrecognitionusinghighresolutiondigitalorthophotomapfromchangemissions".actageochimica 38.4(2019):541.
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