The imaging technology including materials, detectors, optics and imaging system design have dramatically improved over last decade. In this presentation new directions toward infrared imaging with a future perspective will be discussed.
We proposed and demonstrated a new machine learning algorithm for wavelength modulation spectroscopy to enhance the accuracy of fire detection. The result shows more than 8% of accuracy improvement by analyzing CO/CO2 2f signals.
This paper presents a technique to use deep neural network on data analysis of distributed acoustic sensing (DAS) system built by phase-sensitive optical time-domain reflectometry (Φ-OTDR) with Rayleigh enhancement.
This work reports a normal incident high speed photodiode operating at two-micron wavelength with InGaAs/GaAsSb type-II multiple quantum wells absorber. A 3dB bandwidth of 25 GHz can be achieved, which is, in our knowledge, the fastest photodiode at 2-micron wavelength.