Experimental Demonstration of Adaptive Infrared Multispectral Imaging using Plasmonic Filter Array

In our previous theoretical study, we performed target detection using a plasmonic sensor array incorporating the data-processing technique termed “algorithmic spectrometry”. We achieved the reconstruction of a target spectrum by extracting intensity at multiple wavelengths with high resolution from the image data obtained from the plasmonic array. The ultimate goal is to develop a full-scale focal plane array with a plasmonic opto-coupler in order to move towards the next generation of versatile infrared cameras. To this end, and as an intermediate step, this paper reports the experimental demonstration of adaptive multispectral imagery using fabricated plasmonic spectral filter arrays and proposed target detection scenarios. Each plasmonic filter was designed using periodic circular holes perforated through a gold layer, and an enhanced target detection strategy was proposed to refine the original spectrometry concept for spatial and spectral computation of the data measured from the plasmonic array. Both the spectrum of blackbody radiation and a metal ring object at multiple wavelengths were successfully reconstructed using the weighted superposition of plasmonic output images as specified in the proposed detection strategy. In addition, plasmonic filter arrays were theoretically tested on a target at extremely high temperature as a challenging scenario for the detection scheme.

[1]  Sanjay Krishna,et al.  Analysis of subwavelength metal hole array structure for the enhancement of back-illuminated quantum dot infrared photodetectors. , 2013, Optics express.

[2]  J. Scott Tyo,et al.  Spectrally adaptive infrared photodetectors with bias-tunable quantum dots , 2004 .

[3]  Sanjay Krishna,et al.  Statistical adaptive sensing by detectors with spectrally overlapping bands. , 2006, Applied optics.

[4]  Zhipeng Wang,et al.  Quantum dot detectors for mid-infrared sensing: bias-controlled spectral tuning and matched filtering , 2004, SPIE Optics East.

[5]  Heinz Wässle,et al.  Parallel processing in the mammalian retina , 2004, Nature Reviews Neuroscience.

[6]  A. Urbas,et al.  Enhanced transmission due to antireflection coating layer at surface plasmon resonance wavelengths. , 2014, Optics express.

[7]  Zhipeng Wang,et al.  Canonical Correlation Feature Selection for Sensors With Overlapping Bands: Theory and Application , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[8]  F. Werblin,et al.  Vertical interactions across ten parallel, stacked representations in the mammalian retina , 2001, Nature.

[9]  Sanjay Krishna,et al.  A Surface Plasmon Enhanced Infrared Photodetector Based on Inas Quantum Dots , 2022 .

[10]  Sang Jun Lee,et al.  A monolithically integrated plasmonic infrared quantum dot camera. , 2011, Nature communications.

[11]  Alan D. Stocker,et al.  AHI: an airborne long-wave infrared hyperspectral imager , 1998, Optics & Photonics.

[12]  David W. Warren,et al.  LWIR/MWIR imaging hyperspectral sensor for airborne and ground-based remote sensing , 1996, Optics & Photonics.

[13]  A. Urbas,et al.  Surface plasmon resonant splitting and merging due to infrared incidence through thermal imaging lens , 2015 .

[14]  Zhipeng Wang,et al.  Feature selection for spectral sensors with overlapping noisy spectral bands , 2006, SPIE Defense + Commercial Sensing.

[15]  S Krishna,et al.  Versatile Spectral Imaging With an Algorithm-Based Spectrometer Using Highly Tuneable Quantum Dot Infrared Photodetectors , 2011, IEEE Journal of Quantum Electronics.

[16]  T. Ebbesen,et al.  Light in tiny holes , 2007, Nature.

[17]  W. Calvin,et al.  SEBASS hyperspectral thermal infrared data: surface emissivity measurement and mineral mapping , 2003 .

[18]  T. Gaylord,et al.  Rigorous coupled-wave analysis of planar-grating diffraction , 1981 .

[19]  Woo-Yong Jang,et al.  Plasmonic Superpixel Sensor for Compressive Spectral Sensing , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Robin P. Fawcett,et al.  Theory and application , 1988 .

[21]  S. Krishna,et al.  Demonstration of Bias-Controlled Algorithmic Tuning of Quantum Dots in a Well (DWELL) MidIR Detectors , 2009, IEEE Journal of Quantum Electronics.

[22]  J. Scott Tyo,et al.  Real-time implementation of matched filtering algorithms using adaptive focal-plane array technology , 2004, SPIE Optics + Photonics.