Scene-based adaptive spectral sensing systems based on quantum dots infrared photodetectors

Zhipeng Wang, J Scott Tyo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Significant advances have been made in developing normal-incidence sensitive quantum-dot infrared photodetectors (QDIPs) for midwave- and longwave-infrared imaging systems. QDIPs with nanoscale asymmetrical structures of the quantum dots can exhibit spectral responses tunable through the bias voltages applied. This makes it possible to build spectral imaging system in IR range based on single QDIP, without any spectral dispersive device upfront. Further more, unlike conventional systems whose spectral bands are fixed for various tasks which leads to data redundancy, the QDIP based system can be operated as being adaptive to scenes if different sets of operating bias voltages are selected for different tasks. To achieve such adaptivity, optimization algorithms must be developed to find the scene-based operation bias voltages set which maximizes the spectral context inside the output data while reducing the data redundancy. In this paper, we devise a series of optimization methods based on a recently developed geometrical spectral imaging model (Wang et al., 2007):1 In the beginning, an scene-independent set of bias voltages is selected to maximize the average signal-to-noise ratio (SNR) of the sensor. Then, some bias voltages are added or removed based on the captured data. This dynamic optimization process is performed throughout the imaging process so that the balance between data information and data volume is always achieved. Due to the universality of the algorithm, this optimization process can be applied to any spectral sensor whose spectral response functions are known.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume7457
DOIs
StatePublished - 2009
Externally publishedYes
EventImaging Spectrometry XIV - San Diego, CA, United States
Duration: Aug 3 2009Aug 4 2009

Other

OtherImaging Spectrometry XIV
CountryUnited States
CitySan Diego, CA
Period8/3/098/4/09

Fingerprint

Photodetector
Quantum Dots
Bias voltage
Photodetectors
Semiconductor quantum dots
photometers
Sensing
Infrared
quantum dots
Infrared radiation
Voltage
electric potential
optimization
Spectral Imaging
redundancy
Spectral Response
spectral sensitivity
Imaging systems
Redundancy
Imaging System

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Wang, Z., & Tyo, J. S. (2009). Scene-based adaptive spectral sensing systems based on quantum dots infrared photodetectors. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 7457). [74570K] https://doi.org/10.1117/12.825142

Scene-based adaptive spectral sensing systems based on quantum dots infrared photodetectors. / Wang, Zhipeng; Tyo, J Scott.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7457 2009. 74570K.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, Z & Tyo, JS 2009, Scene-based adaptive spectral sensing systems based on quantum dots infrared photodetectors. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 7457, 74570K, Imaging Spectrometry XIV, San Diego, CA, United States, 8/3/09. https://doi.org/10.1117/12.825142
Wang Z, Tyo JS. Scene-based adaptive spectral sensing systems based on quantum dots infrared photodetectors. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7457. 2009. 74570K https://doi.org/10.1117/12.825142
Wang, Zhipeng ; Tyo, J Scott. / Scene-based adaptive spectral sensing systems based on quantum dots infrared photodetectors. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7457 2009.
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