Enhanced Through-Wall Imaging using Bayesian Compressive Sensing

使用贝叶斯压缩传感增强穿墙成像

• 批准号: DP150104279
• 负责人: Prof Abdesselam Bouzerdoum
• 金额: $ 34.77万
• 依托单位: University of Wollongong
• 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
• 起止时间: 2015-03-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP150104279
• 关键词: Enhanced; Through; Wall; Imaging; using

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.

该项目的目的是开发雷达成像技术，使我们能够“看到”墙壁和不透明材料后面的物体。主要的突破是能够在不访问场景的情况下对墙后、建筑物或封闭结构内的物体进行成像。将开发基于贝叶斯压缩传感的新型信号和图像处理算法，以提高图像质量和分辨率，提高运算速度，并减少数据采集和处理的成本和时间。许多应用预计将从这项研究中受益，包括搜索和救援、监视、安全和防御。研究成果预计将增强澳大利亚武装部队、反恐、警察和执法机构的能力。