Development of a plastic landmine detection system based on CMRF model
Development of a plastic landmine detection system based on CMRF model
批准号:
15206047
负责人:
HIROSE Akira
金额:
$18.47万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (A)
财政年份:
2003
资助国家:
日本
项目状态:
已结题
起止时间:
2003 至 2005
中文摘要
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英文摘要
This study was carried out with the purpose of developing an antipersonnel plastic landmine visualization radar system that deals with spatial-and frequency-domain interferometric texture adaptively in a brainlike manner based on the newly proposed theory, i.e., complex-valued neural networks. The developed system consists of three parts : (1)densely integrated wideband antenna handset, (2)iAmage clustering processing module employing complex-valued self-organizing map (CSOM), and (3)landmine-class identifier based on complex-valued associative memory.(l)Densely integrated wideband antenna handset :We have developed a new antenna element, i.e., walled-LTSA, which has a smaller aperture and a wide bandwidth. This antenna array enables us to capture subsurface reflection two-dimensionally with a high spatial resolution in a phase-sensitive manner.(2)Image clustering processing module employing complex-valued self-organizing map(CSOM) :We have also developed an adaptive texture classifier … More based on the CSOM. The reflection has complex-amplitude information in space (two-dimension) and frequency (one-dimension) domains (three-dimension in total). The CSOM segment the three-dimensional image by taking into account the complex-amplitude texture in an adaptive manner. The module successfully distinguishes a plastic landmine area from other soil areas including, e.g., stones and metal fractions.(3)Landmine-class identifier based on complex-valued associative memory :We have to identify plastic landmine class(es) among the segmented areas in the CSOM module. This identifying module deals with the feature vectors on double stages. First, the module chooses a feature-vector sets, in the memorized teacher data, nearest to those in the test observation. Then, it determines the correspondence of respective feature vectors to those in the teacher data.In the developed system, we found that in the laboratory experiment the visualization performance for plastic landmines is near to that of the metal detectors for metal landmines. However, we also find that the performance is dependent on the conditions of soil, humidity, and other environment in the observation. Therefore, in the next step, we are going to have a field test out of the laboratory, but instead, on the field almost identical to that of landmine field next. In our plan, we start the field test in the following academic year. Less
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Proposal of holographic 3D-movie generation using coherent neural-network interpolation
使用相干神经网络插值生成全息 3D 电影的提案
DOI:
--
发表时间:
2006
期刊:
Fuzzy Days 2006 Dortmund (to be presented)
影响因子:
--
作者:
[A.Hirose, T.Higo]
通讯作者:
T.Higo
DOI:
--
发表时间:
2004
期刊:
Int'l Conf.on Neural Inform.Processing (ICONIP) 2004 Calcutta
影响因子:
--
作者:
[S.Sakatani, A.Hirose]
通讯作者:
A.Hirose
Proposal of bilinear surfacecompensation of distortion it least-squrares phase unwrapping
畸变最小二乘相位展开双线性表面补偿的提出
DOI:
--
发表时间:
2005
期刊:
Int'1 Geoscience and Remote Sensing Symposium (IGARSS) 2005 Seoul Proc.
影响因子:
--
作者:
[T.Oishi, A.B.Suksmono, A.Hirose]
通讯作者:
A.Hirose
Phase signal embedment in densely frequency-multiplexed coherent neural networks
密集频率复用相干神经网络中的相位信号嵌入
DOI:
--
发表时间:
2005
期刊:
OSA Topical Meeting on Information Photonics (OSA_IP) 2005 Charlotte (Proc.)
影响因子:
--
作者:
[L.Amornrat, S.Kawata, A.Hirose]
通讯作者:
A.Hirose
Coherent lightwave neural network systems in Complex-Valued Neural Networks : Theories and Applications
复值神经网络中的相干光波神经网络系统:理论与应用
DOI:
--
发表时间:
2003
期刊:
影响因子:
--
作者:
[S.Kawata, A.Hirose]
通讯作者:
A.Hirose
共 89 条
The mechanisms for the progression of hepatic fibrosis through AGE-RAGE system and renin-angiotensin system
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批准号:26461011
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$3.16万
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财政年份:2014
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负责人:HIROSE Akira
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依托单位:
Involvement of renin-angiotensin system for the development of NASH
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批准号:22790650
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项目类别:Grant-in-Aid for Young Scientists (B)
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资助金额:$2.16万
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财政年份:2010
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负责人:HIROSE Akira
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Low direction-coupling array antenna for use in plastic landmine visualization system
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批准号:22651062
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资助金额:$2.27万
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财政年份:2010
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负责人:HIROSE Akira
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依托单位:
Adaptive millimeter-wave security imaging based on complex-valued neural networks
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批准号:21300089
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$11.56万
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财政年份:2009
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负责人:HIROSE Akira
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依托单位:
Basic research on elimination of artifacts in ultrasonic imaging based on spatiotemporal CMRF model
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批准号:18360162
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项目类别:Grant-in-Aid for Scientific Research (B)
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资助金额:$9.87万
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财政年份:2006
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负责人:HIROSE Akira
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依托单位:
Fundamental study on neural chips that processes high-frequency carrier signals adaptively and nonlinearly
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批准号:13835002
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$2.69万
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财政年份:2001
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负责人:HIROSE Akira
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依托单位:
Coherent neural networks : Construction of prototypal subsystems
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批准号:08555098
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项目类别:Grant-in-Aid for Scientific Research (A)
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资助金额:$8.9万
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财政年份:1996
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负责人:HIROSE Akira
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依托单位:
Fundamental studies on quantum neural devices
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批准号:07650393
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$1.6万
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财政年份:1995
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负责人:HIROSE Akira
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依托单位:
国内基金
海外基金
基于seismic interferometry的海上勘探数据重建方法研究
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批准号:40904030
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项目类别:青年科学基金项目
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资助金额:20.0万元
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批准年份:2009
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负责人:王一博
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依托单位: