|Author:||Qiao, Si Joyce|
|Title:||3D morphology based automatic crater detection on digital elevation models|
Moon -- Surface
Hong Kong Polytechnic University -- Dissertations
|Department:||Faculty of Construction and Environment|
|Pages:||x, 86 pages : illustrations (chiefly color) ; 30 cm|
|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.|
Files in This Item:
|b27591293.pdf||For All Users (off-campus access for PolyU Staff & Students only)||4.12 MB||Adobe PDF||View/Open|
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item: