The Nine Lives of Buildings

Like cats being gifted with a new life every time they just miss their demise, buildings are constantly propelled towards change and reinvention in order to sustain their existence. Here Jill Stoner , Director of the Azrieli School of Architecture and Urbanism at Carleton University in Ottawa, and Professor of Architecture at the University of California, Berkeley, for 28 years, identifies and reflects upon nine possible future lives for buildings.     

Multi-receivers and sparse-pixel pseudo-thermal light source for compressive ghost imaging against turbulence

For remote sensing with computational ghost imaging, the atmospheric turbulence will influence much on the performance since the transmitted patterns from the pseudo-thermal source will be distorted. As the distribution of refractive index on the propagation path varies with time, reducing the time consumption of data acquisition will be an effective way for mitigating the influence. We propose using fewer pixels of spatial light modulator to increase the modulation rate of the pseudo-thermal source, with the positions of pixels being randomly distributed. Multi-bucket detectors are employed for further reducing of the data acquisition time. The sparse recovery algorithm from compressed sensing is employed to enhance the quality of image. The performance of this system is demonstrated by comprehensive numerical analyses.     

激光关联成像在烟幕条件下的实验研究

烟幕是一种复杂且特殊的散射介质,穿透烟幕成像是一项具有广阔应用前景的课题。为探究计算关联成像技术在烟幕环境下的抗散射性,设计烟幕箱结合计算关联成像的实验系统,在静态与动态散射的环境下进行了实验,得出了计算关联成像在探测路径存在静态与缓慢变化的动态烟幕情况下可实现成像的结论;针对快速动态烟幕条件下的成像降质问题,提出了逐点补偿方法。由于在动态散射的情况下光强涨落掺入了额外的衰减因素,利用获得的以特定频率投影特定帧的强度值可追踪衰减系数的变化,将原始光强值除以衰减系数得到校正后的光强值。该方法在低投影频率的条件下具有优势,通过对比得到了该方法的适用条件。     

基于超阈值时间技术的激光关联成像

针对现有基于全波形采样的激光关联成像回波采集数据量大且测距精度和测距分辨率受限于采样率的问题,研究了一种基于超阈值时间(TOT)技术的激光关联成像方法。利用基于TOT技术的时间宽度或峰值反推方法获取回波信号的强度信息,分析了TOT响应阈值选取、激光脉冲宽度、TOT测量误差对激光关联成像重构结果的影响。结果表明:基于TOT技术的回波信号获取方法可以实现激光关联成像;TOT响应阈值选为回波信号峰值的35%、激光脉宽不小于30个采样间隔、TOT测量误差的均方根误差小于1个采样间隔,能够保证较好的重构质量。此外,基于峰值反推获取目标回波信号强度信息的方法比基于TOT的时间宽度表征方法更准确。