Automatic extraction of lunar impact craters from Chang'E-1 satellite photographs
文献类型:SCI/SSCI论文
作者 | Wan C. ; Cheng W. M. ; Zhou Z. P. ; Zhao S. M. ; Xia Y. |
发表日期 | 2012 |
关键词 | automatic extraction lunar impact craters Object-Oriented method accuracy assessment cumulative frequency analysis Chang'E-1 data mars classification |
英文摘要 | The distribution characteristics of the impact craters can provide a large amount of information on impact history and the lunar evolution process. In this research, based on the digital elevation model (DEM) data originating from Change'E-1 CCD stereo camera, three automatic extraction methods for the impact craters are implemented in two research areas: direct extraction from flooded DEM data (the Flooded method), object-oriented extraction from DEM data by using ENVI ZOOM function (the Object-Oriented method) and novel object-oriented extraction from flooded DEM data (the Flooded Object-Oriented method). Accuracy assessment, extracted degree computation, cumulative frequency analysis, shape and age analysis of the extracted craters combined display the following results. (1) The Flooded Object-Oriented method yields better accuracy than the other two methods in the two research areas; the extraction result of the Flooded method offers the similar accuracy to that of the Object-Oriented method. (2) The cumulative frequency curves for the extracted craters and the confirmed craters share a similar change trajectory. (3) The number of the impact craters extracted by the three methods in the Imbrian period is the largest and is of various types; as to their age earlier than Imbrain, it is difficult to extract because they could have been destroyed. |
出处 | Science China-Physics Mechanics & Astronomy |
卷 | 55 |
期 | 1 |
页 | 162-169 |
收录类别 | SCI |
语种 | 英语 |
ISSN号 | 1674-7348 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/26789] ![]() |
专题 | 地理科学与资源研究所_历年回溯文献 |
推荐引用方式 GB/T 7714 | Wan C.,Cheng W. M.,Zhou Z. P.,et al. Automatic extraction of lunar impact craters from Chang'E-1 satellite photographs. 2012. |
入库方式: OAI收割
来源:地理科学与资源研究所
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