The spectral resolution of The Temporally and Spatially Modulated Fourier Transform Imaging Spectrometer (TSMFTIS) is mainly determined by the optical focal length, lateral shear, and the performance of the infrared focal plane array (FPA) in combination. However, due to the limited number and density of pixels in the FPA, the lateral shear of the optical system is constrained, resulting in the overall spectral resolution of the instrument unable to be higher. Therefore, this paper proposes achieving super-sampling of the detector for interference images by performing multiple subpixel shifts on the FPA detector. This method supports the continuous increase of lateral shear amount, ultimately improving the overall spectral resolution of the instrument. Experimental results show that using a 384x288 uncooled infrared FPA and under conditions of eightfold super-sampling and 8000μm lateral shear, the instrument's spectral resolution increased from 15.75 cm-1 to 2.31 cm-1.
The temporally and spatially modulated Fourier transform imaging spectrometer (TSMFTIS) has the merits of high optical throughput, good mechanical stability, and simple interference configuration. However, the number and the density of pixels in the infrared (IR) focal plane array limit the spectral resolution of TSMFTIS. Thus, we proposed the interferometric supersampling levering multiple sub-pixel translations of the focal plane array detector to realize the supersampling of the interference fringes and improve the system’s spectral resolution. The experimental results show that 2.31 cm−1 spectral resolution is achieved by employing a 384×288 uncooled IR detector array.
A real-time people counting system using ranging technology with human head-shoulder profile is discussed in
this work. To obtain the profile, the system is installed above an entrance/exit gate with vertically downward
view. Line structured light is used to detect the height of a person’s head-shoulder. Compared with imaging-
processing approaches, this method is cost-effective, computationally simple, and more accurate. The system
can also detect the walking direction of each person using a second structured illumination light source.
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