3D morphology based automatic crater detection on digital elevation models

Pao Yue-kong Library Electronic Theses Database

3D morphology based automatic crater detection on digital elevation models

 

Author: Qiao, Si Joyce
Title: 3D morphology based automatic crater detection on digital elevation models
Degree: M.Sc.
Year: 2014
Subject: Lunar craters.
Moon -- Surface
Hong Kong Polytechnic University -- Dissertations
Department: Faculty of Construction and Environment
Pages: x, 86 pages : illustrations (chiefly color) ; 30 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b2759129
URI: http://theses.lib.polyu.edu.hk/handle/200/7577
Abstract: Study of the lunar surface morphologies has been one of the key tasks of the lunar exploration program in the past few decades. Impact craters are ubiquitous and typical structures with high geological relevance on the surfaces of the Moon. Proper identification and extraction of the craters can provide direct evidence for the study of the lunar status and evolution. Therefore, it is not surprising that crater detection algorithms (CDAs) are one of the most studied subjects of image processing and analysis in lunar and planetary science. This thesis proposes a morphology based CDA on digital elevation models (DEM). The new CDA consists of (1) analysis of the morphological characteristics of lunar impact craters, including the horizontal and vertical structures and the relationships among them; (2) utilization of the shape factors to control morphological characteristics; (3) considerations for separating connect and contained craters through iteration; (4) refitting for rims of craters that depth-diameter ratio is greater than 1/10. In addition, there are tests in two different areas with different DEM sources for evaluating this CDA, in comparison with manual results and newest catalog, the proposed CDA shows the followings: (1) comparative analysis of different results for evidencing feasibility and reliability of this CDA; (2) the number of small craters inside these regions has been significantly increased that even do not detect by manual digitization; (3) the false detection rate and none detection rate are both low to alternate other methods. As a result, this study confirmed the practical applicability of the new morphology based CDA, which can be used in order to considerably extend current crater work.

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