TARGET CLUSTERING IN THREE-DIMENSIONAL GROUND PENETRATING RADAR BASED ON TIME-DOMAIN PHASE INFORMATION AND COMPLEX-VALUED SELF-ORGANIZING MAP

被引：0
|
作者：
Shimomura, Soshi [1 ]
Hirose, Akira [1 ]
机构：
[1] Univ Tokyo, Dept Elect Engn & Informat Syst, Tokyo 1138656, Japan
来源：
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年
关键词：
Complex-valued self-organizing map (CSOM); ground penetrating radar (GPR); cubic scan (C-scan); WALLED-LTSA ARRAY; VISUALIZATION; RESOLUTION;
D O I：
10.1109/igarss.2019.8897999
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
We propose an adaptive subsurface three-dimensional visualization system based on a complex-valued self-organizing map (CSOM) to deal with time-domain phase information. Conventionally phase information of time domain is regarded as meaningless in radar processing. We think that amplitude information of time domain presents the position of targets and phase information depends on kinds of scatterers. In this paper, we show time-domain phase information is very valid for clustering of targets. We succeeded in clustering adaptively targets by employing complex-valued self-organizing map.
引用
收藏
页码：3602 / 3605
页数：4
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