Enhanced Through-Wall Imaging using Bayesian Compressive Sensing
Enhanced Through-Wall Imaging using Bayesian Compressive Sensing
批准号:
DP150104279
负责人:
Prof Abdesselam Bouzerdoum
金额:
$34.77万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2015
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2015-03-31 至 2020-12-31
中文摘要
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英文摘要
The aim of this project is to develop radar imaging techniques which enable us to 'see' objects behind walls and opaque materials. The major intended breakthrough is the ability to image objects behind walls and inside buildings or enclosed structures without accessing the scene. Novel signal and image processing algorithms, based on Bayesian compressive sensing, will be developed to enhance image quality and resolution, improve speed of operation, and reduce the cost and time of data acquisition and processing. Many applications are expected to benefit from this research including search and rescue, surveillance, security, and defence. The research outcomes are expected to enhance the capabilities of the Australian armed forces, counter-terrorism, police and law-enforcement agencies.
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国内基金
海外基金
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依托单位: