Development of landmine visualization systems to deal with complex-amplitude texture based on complex-valued self-organizing map

Akira HIROSE

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Development of landmine visualization systems to deal with complex-amplitude texture based on complex-valued self-organizing map

机译：基于复合自组织地图的地雷可视化系统开发地雷可视化系统处理复杂幅度纹理

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This technical report presents the recent development of landmine visualization systems based on complex-valued self-organizing map (CSOM) to deal with complex-amplitude texture. In practical use of a ground penetrating radar (GPR) to visualize landmines and other specific targets, the performance always suffer from heavy clutter originating from stones, clods, metal fragments, and so on and so forth. "Seeing" is not simple in GPR. The authors discuss a CSOM framework in which we pay attention to complex-amplitude texture to visualize and distinguish the targets we want to see. This report also presents our latest one-dimensional array-antenna CSOM GPR.

机译：本技术报告介绍了基于复合自组织地图（CSOM）的地雷可视化系统的最新发展，以处理复杂幅度纹理。在实际使用地面穿透雷达（GPR）以可视化地雷和其他特定目标，性能总是遭受源自石头，枯萎，金属碎片等的重杂波等等。 “看”在GPR中并不简单。作者讨论了一个CSOM框架，我们注意到复杂幅度纹理，以可视化和区分我们想要看到的目标。本报告还提出了我们最新的一维数组 - 天线CSOM GPR。

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《電子情報通信学会技術研究報告. 宇宙·航行エレクトロニクス. Space, Aeronautical and Navigational Electronics》 |2017年第222期|共6页
作者
Akira HIROSE;
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作者单位

Department of Electrical Engineering and Information Systems The University of Tokyo;

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原文格式 PDF
正文语种 eng
中图分类雷达;
关键词
Ground penetrating radar (GPR); Complex-valued self-organizing map (CSOM);

机译：地面穿透雷达（GPR）;复合估值的自组织地图（CSOM）;

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专利

1. Development of landmine visualization systems to deal with complex-amplitude texture based on complex-valued self-organizing map [J] . Akira HIROSE 電子情報通信学会技術研究報告. 宇宙·航行エレクトロニクス. Space, Aeronautical and Navigational Electronics . 2017,第222期

机译：基于复合自组织地图的地雷可视化系统开发地雷可视化系统处理复杂幅度纹理
2. Millimeter-wave security imaging using complex-valued self-organizing map for visualization of moving targets [J] . Shogo Onojima, Yuya Arima, Akira Hirose Neurocomputing . 2014,第juna25期

机译：使用复值自组织图进行移动目标可视化的毫米波安全成像
3. Comparison of visualization of optimal clustering using self-organizing map and growing hierarchical self-organizing map in cellular manufacturing system [J] . Chattopadhyay Manojit, Dan Pranab K., Mazumdar Sitanath Applied Soft Computing . 2014,第Null期

机译：自组织图和增长层次自组织图在蜂窝制造系统中最佳聚类可视化的比较
4. Adaptive Subsurface Visualization System Using Phase Retrieval Method and Complex-valued Self-organizing Map [C] . S. Shimomura, A. Hirose Progress in electromagnetics research symposium . 2018

机译：相位检索和复值自组织映射的自适应地下可视化系统
5. A software environment for visualizing high-dimensional data using contextual self-organizing maps linked with immersive virtual reality [D] . Richardson, Trevor Thomas 2013

机译：使用与沉浸式虚拟现实链接的上下文自组织映射图可视化高维数据的软件环境
6. Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps [O] . Peter Meinicke, Thomas Lingner, Alexander Kaever, 2008

机译：使用一维自组织图基于代谢物的质谱数据聚类和可视化
7. Applications of Complex-Valued Self-Organizing Maps to Ground Penetrating Radar Imaging Systems [O] . Akira Hirose, Yukimasa Nakano 2011

机译：复数自组织地图对地面穿透雷达成像系统的应用

Development of landmine visualization systems to deal with complex-amplitude texture based on complex-valued self-organizing map

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