July 16, 2024
2:00 PM ET / 1:00 PM CT / 11:00 AM PT / 7:00 PM GMT
Duration: 1 hour
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Summary
The approach could broaden the use of thermal imaging in fields such as autonomous navigation, security, thermography, medical imaging, and remote sensing.
Spectro-polarimetric imaging in the long-wave infrared (LWIR) region plays a crucial role in applications from night vision and machine perception to trace gas sensing and thermography. However, the current generation of spectro-polarimetric LWIR imagers suffers from limitations in size, spectral resolution, and field of view (FOV). While meta-optics-based strategies for spectro-polarimetric imaging have been explored in the visible spectrum, their potential for thermal imaging remains largely unexplored. In this work, we introduce an approach for spectro-polarimetric decomposition by combining large-area stacked meta-optical devices with advanced computational imaging algorithms. The approach represents a significant advance in the field of thermal imaging for a wide range of applications, including heat-assisted detection and ranging (HADAR).
Speakers:
Xueji Wang, PhD
Email Address: Xueji Wang
Title: Postdoctoral Researcher
Company: Purdue School of Electrical and Computer Engineering