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作 者:WANG MingYuan PING JinSong
机构地区:[1]Shanghai Astronomical Observatory,Chinese Academy of Sciences,Shanghai 200030,China [2]Graduate University of Chinese Academy of Sciences,Beijing 100049,China
出 处:《Science China(Physics,Mechanics & Astronomy)》2012年第3期540-545,共6页中国科学:物理学、力学、天文学(英文版)
基 金:supported by the National Natural Science Foundation of China(Grant Nos. 10973031,2008AA12A210 and 2010AA122206)
摘 要:The Mars Advanced Radar for Subsurface and Ionosphere Sounding(MARSIS) onboard the Mars Express(MEX) spacecraft started to collect data of the Martian topside ionosphere from May,2005.By now a large amount of ionograms has been obtained.It is important to extract vertical ionospheric information effectively from the ionograms for further study.In this paper a new method,Object Tracking Method(OTM),is proposed to automatically extract the ionospheric electron density profiles by computer.This method is based on three algorithms,namely the Hough transform,region growing segmentation algorithm and moving objects detection method from video sequences.In processing ionosphere echoes are treated as moving objects.The identification ratio of OTM for the MARSIS ionograms is estimated to be around 90%.The Mars Advanced Radar for Subsurface and Ionosphere Sounding (MARSIS) onboard the Mars Express (MEX) spacecraft started to collect data of the Martian topside ionosphere from May, 2005. By now a large amount of ionograms has been ob- tained. It is important to extract vertical ionospheric information effectively from the ionograms for further study. In this paper a new method, Object Tracking Method (OTM), is proposed to automatically extract the ionospheric electron density profiles by computer. This method is based on three algorithms, namely the Hough transform, region growing segmentation algorithm and moving objects detection method from video sequences. In processing ionosphere echoes are treated as moving objects. The identification ratio of OTM for the MARSIS ionograms is estimated to be around 90%.
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