shadowhighlightfeaturematchingautomaticsmallcraterrecognitionusinghighresolutiondigitalorthophotomapfromchangemissions

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	shadowhighlightfeaturematchingautomaticsmallcraterrecognitionusinghighresolutiondigitalorthophotomapfromchangemissions
	Zuo Wei 2; Li Chunlai 2; Yu Lingjie 3; Zhang Zhoubin 2; Wang Rongwu 1; Zeng Xingguo 2; Liu Yuxuan 2; Xiong Yaying 2
刊名	actageochimica
	2019
卷号	38 期号:4 页码:541
ISSN号	2096-0956
英文摘要	This 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.
语种	英语
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/49158]
专题	中国科学院国家天文台
作者单位	1.东华大学 2.中国科学院国家天文台 3.西安工程大学
推荐引用方式 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.