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Preliminary design plan

A Near Infra-Red Hyper Spectral Imager

Fred Sigernes1,2, Joseph Garrett 2, Roger Birkeland 2, Henrik Øvrebø 2, Håvard Brovold 2, Sivert Bakken 2, Torbjørn Skauli 3 and Tor Arne Johansen 2

1 The University Centre in Svalbard (UNIS), Norway
2 Norwegian University of Science and Technology (NTNU), Trondheim, Norway
3 University of Oslo, Oslo, Norway

Abstract
This study presents a 3D printed Near Infra-Red Hyper Spectral Imager version 7 (NIR HSI v7). The aim is to find a prototype payload design for the next generation CubeSat satellite missions. The detector is a Black Silicon CMOS sensor operating at nominal speed of 90 frames per second. The instrument is calibrated and tested to show it is capable of pushbroom operations from various platforms, including drones to satellites in the 600-1000 nm spectral range of the electromagnetic spectrum. The spectral bandpass is 3.33 nm and the field of view across track is 11.4°.

Created: 23 October 2023 - Last update: 5 July 2024

Introduction
The motivation for this study is to construct a Do-It-Yourself (DIY) pushbroom Hyper Spectral Imager (HSI) utilizing 3D printing, commercial off-the-shelf optical elements, and a Black Silicon CMOS (Complementary Metal Oxide Semiconductor) image sensor, sensitive in the Near Infra-Red (NIR) region of the electromagnetic spectrum.

The general DIY recipe is outlined in previous work conducted [1-3] in the visible part of the spectrum (400-800 nm) where the aim was to construct HSI payloads for drones to small satellites. The result was the payload of the HYPer-spectral Smallsat for ocean Observation (HYPSO-1), launched into polar orbit on January 13, 2022.

Due to high atmospheric scattering seen in the violet blue part of the HYPSO-1 spectra below 450 nm and overlapping second order effects above 800 nm [4], a modification of the design is presented. The high NIR spectral sensitivity of the Black Silicon CMOS sensor makes it possible to shift the wavelength range up to 600-1200 nm. As a result, the shift will reduce scattering and remove unwanted second order effects.

The modified optical design is presented followed by a detailed description on how to mechanically collimate the diffractive grating and mount the optical elements in place by a 3D printed instrumental enclosure. Prior to wavelength and sensitivity calibration, the Black Silicon CMOS sensor was setup as a regular monochromatic aurora camera to test its low light capability. Finally, data samples of the assembled HSI are shown to verify image performance.

Source illumination
Fig. 1. Solar illumination adopted from Post by Harron Junaidi, All you need to know about Solar Radiation, 2016.

First, the source illumination in the NIR region can be identified in Figure 1. The target wavelength region 700 - 1100 nm is less intens compared to the visible part of the spectrum and dominated by two atmospheric absorption bands (O2 and H2O).

Optical design
The design is inspired [1] by the pushbroom HSI v6 onboard the HYPSO-1 satellite [2-4]. The equation for a head-on illumination of a transmitting grating is essential for the construction

n λ = a sin β,    [nm]
(1)

where n is the spectral order, λ is the wavelength, a the groove spacing, and β the diffracted angle.

Fig. 2. Optical diagram of Hyper Spectral Imager version 7 (NIR HSI v7) using a NIR blazed grating from Thorlabs. An increased spectral range of 600 - 1200 nm will result in a spectral length of x = 9.39 mm.

The optical diagram is shown in Figure 2. The center design wavelength is set to 900 nm. A 300 lines/mm blazed grating is the key element. Blaze angle is 31.7°. The efficiency is above 55% for the wavelength region 700 - 1100 nm. The effective aperture may be set to D0 = D1 = 18 mm which corresponds to ~ F/2.8 The input slit width is fixed with no magnification or demagnification of the height (h = 10 mm). Field Of View (FOV) along slit equals 11.4°. A slit width of w = 50 µm will result in a first order (n = 1) Full Width Half Maximum (FWHM) spectral bandpass of 3.33 nm.

All components are off-the-shelf. Three 50 mm focal length VIS-NIR objectives from the company Edmund Optics (EO) is used in combination with a standard blazed transmitting grating from Thorlabs. The detector is a Black Silicon CMOS sensor from the company SiOnyx, LLC.

Front lens - slit - collimator assembly
The front lens focuses light from infinity onto the entrance slit plane. Light through the slit is collimated by the collimator lens to produce a parallel light beam that will illuminate the grating. These two lens objectives are chosen to be identical to preserve image quality through the system. The same mechanical solution as presented in [3] is used. See Figure 3.

Fig. 3. Mechanical solution for front lens, slit and collimator lens assembly. All parts are from the Thorlabs optomechanical components suite and labeled with part numbers. See Table 1 for details. Note that brass should not be used in space due to outgassing.

Instrumental enclosure
The above parts are sufficient to create a prototype hyper spectral imager. All parts may now be embedded into a 3D printed design or a metal housing according to the angles and positions defined in the optical diagram. Note that a right-angle prism can be used between the collimator and the grating to make the design more compact in size. See Figure 4 below.

Fig. 4. Instrumental sketch: Compact version of NIR HSI v7 using a right-angle prism. Numbers are in units of mm.

Fig. 5. Assembled instrument. Left: 3D printed press fit base. (1) is font lens, (2) slit housing (tube), (3) collimator lens, (4) right-angle prism, (5) transmitting grating, (6) detector lens, and (7) SiOnyx development board. Right: Assembled instrument. (1) is camera head, (2) front lens, and (3) press fitted 3D housing by six 60 mm long M4 bolts and nuts. Inspection lid (4) is mounted by two 10 mm long M3 screws and nuts. Size and dimensions are according to Fig. 4. The total mass of the assembled instrument is 782 g.

A 3D printed press fit solution is shown in Figure 5. A 3D printer from the company Prusa Research model Prusa i3 MK3S+ was used with a black PETG (Polyethylene Terephthalate modified with Glycol) filament. The material is known for its temperature resistance, tenacity, and flexibility. According to Prusa Research it does not shrink or warp, making it suitable for large print models.

Optical components properties
Fig. 6. Optical components properties. Data acquired and reproduced from manufacturing companies. The solid black curve is the Quantum Efficiency (QE) of the SiOnyx Black Silicon CMOS sensor. The solid yellow curve is the QE of the Sony IMX174 CMOS sensor. The dashed line curves in red and blue represent the effective transmission (Te) of the 50 mm VIS-NIR objectives from the companies Edmund Optics (EO) and Kowa, respectively. The Green curve is the Efficiency (E) of the Thorlabs blazed transmission grating. The solid line curves in blue and red are the Thorlabs right-angle prism and EO Hoya R-60 longpass transmission (T), respectively.

Each individual element in the optical train of the instrument has unique transmission and efficiency as listed in Table 2. Since the instrument uses three identical lens objectives, the effective transmission is calculated as

Te = (T/100) 3 × 100,    [%]
(2)

where T is the manufacture's transmission in units of %. The effective transmission of the EO VIS-NIR 50 mm lens objectives are shown in Figure 6. Included is the Thorlabs right-angle prism transmission, the EO Hoya R-60 second order longpass filter transmission, the Thorlabs transmitting grating efficiency and the SiOnyx Black Silicon CMOS sensor Quantum Efficiency (QE). These properties are vital to understand the results of the sensitivity calibration.

Test of the SiOnyx sensor
The camera sensor evaluation kit (XRB-1350-PDK) was tested with a Schneider Kreuznach F/1.4 CCTV 17 mm focal length lens. A front cut-off filter HOYA R72 was used to cut light below 740 nm. The camera was mounted under a dome at the observatory to a motorized pan-tilt unit from the company Directed Perception (PTU-D47-70). This setup enables us to quickly point the camera to any sky target of interest using the SvalPoint tracking system [5].

Snapshot image
A snapshot image of a low intensity (1-2 kR) red colored post noon auroral arc was identified as soon as we turned the system on. See image below. Default automatic mode of camera was used. The gain was 3200 with an exposure time of just 11 msec running at 90 FPS.

Fig. 7. SiOnyx camera snapshot of post noon auroral arc at 12:55 UT, 9th of January 2024. Exposure time is 11 msec with maximum gain at 3200. Framerate is 90 FPS. The image is resized by a factor of 50%.

Movie
A 60 second video timelaps is shown here.

Note that the video is scaled down 4 times to reduce storage and the real duration is only 16.7s. Nevertheless, the above auroral experiment indicates that the sensor is low light sensitive and a promising candidate for our hyperspectral imager.

Osram spectrogram
The assembled instrument was turned on and pointed towards a white cardboard illuminated by a roof mounted Osram fluorescent gas tube lamp. The recorded snapshot spectrogram is shown in the below figure with identified emission lines.
Fig. 8. NIR HSI v7 Spectrogram of Osram fluorescent gas tube lamp (Office roof illumination). Visible lines of the spectrum are identified by chemical identification, wavelength, and spectral order (n). Mercury (Hg), Terbium (Tb) and Europium (Eu) lines are marked.

Note that due to lack of a spectral line source in NIR, a UV-NIR cutoff filter was mounted to the front lens (EO #89795). The latter to was done to identified well know emission line in the second order of the visible spectrum without the NIR part contributing from the first order. With well know emission lines identified in the second order, the corresponding first order NIR wavelengths become 2 times higher. This procure can be applied since the sensor is highly sensitive in the visible part of the spectrum.

Wavelength and sensitivty calibration
Fig. 9. NIR HSI v7 wavelength and sensitivty calibration. The measured Hydrogen gas discharge tube spectrum (blue curve) is the average response across the entire slit of the recorded spectrogram. The red curve shows the synthetic Hydrogen spectrum with a triangular instrumental line function that corresponds to a Full Width Half Maximum (FWHM) equal to 3.3 nm. Green curve represents the raw count spectrum of a Lambertian screen (Labsphere SRT-99-100) illuminated by a certified 1000W Tungsten lamp (Oriel SN7-1275). The screen is located head-on, at a distance of R = 2.337 m from the lamp. The exposure time was 11.11 msec during the calibration. The gain was 100. Black solid spectrum is the certified brightness of the screen in units of mW m-2 nm-1.

The instrument was wavelength calibrated using a hydrogen gas discharge spectral tube and the UV/NIR cut-off filter (EO #89795). The first order Hα line and the second order Hβ line was identified. The wavelength as a function of pixel value function is found to be

λ ≈ 617.805 + 0.611025 × p,    [nm]
(3)

where p ∊ [0..1023] is pixel value. The spectral range becomes 618-1243 nm on the detector. Assuming Full Width Half Maximum (FWHM) spectral bandpass of 3.3 nm, the number of pixels per spectral bin becomes 5.4. A narrow spectral line may therefore be sampled by 12 pixels. This corresponds to 85 images generated from of the spectral data cube.

Sensitivity calibration is carried out by replacing the UV/NIR cut-off filter with a Red (Hoya R-60) longpass filter (EO #46545) to remove the second order visible part of the spectrum. The procedure and experimental setup for sensitivity calibration is explained in detail by [6]. The result is plotted in Figure 9.

To our surprise, the count rate is rapidly decreasing for wavelengths greater than 1000 nm, even though the source or screen illumination is high. The transmission and efficiency of all optical components are relatively high above 1000 nm, except the rapid fall in transmission in the EO 50 mm VIS-NIR objectives above 1050 nm. As a consequence, the Kowa VIS-NIR objective, which has high transmission in the upper end of the NIR wavelength region (1050-1200 nm), could be tested as a new candidate.

Furthermore, the Quantum Efficiency (QE) of the XQE-1350 sensor from SiOnyx is above 80% at 600 nm followed by a decrease down to 25% at 1000 nm, which also contribute to the rapid decline of sensitivity in the 1000-1200 nm range. To conclude, the result of sensitivity calibration, reduces the effective or usable spectral range to 600-1000 nm, regardless of lens candidates.

First HSI test
Fig. 10. HSI v7 NIR first test. Target is out UNIS office window, 02.04.2024 at 14:14 LT. Images generated at wavelengths 700, 800, and 900 nm represent blue, green and red colors in the composite image, respectively. Image bandpass is 3.3 nm, analog gain is 100 and exposure time is approximately 6 msec.

The spectral imager was mounted to a Syrp Genie Mini II rotary table. A 30° horizontal sweep angle and period of 15 s were used. The target scenario is out an office window of UNIS towards East. The camera head operated at 90 FPS in automatic mode.

1000 frames were sampled by the Windows PC uTest64 program in is just 11 s. Each frame was rotated and accumulated into a spectral movie by ffmpeg. The latter procedure was used to make the hyper spectral data cube compatible with our Play Spectrogram software, which generated 3 spectral images at 700, 800 and 900 nm with image bandpass of 3.3 nm. The color composite is shown above.

Note that the analog gain was constant low at 100 during the sweep. The gain range is 100-3200. The exposure time varied from 6 - 6.5 msec. The effect of the automatic mode of the camera is seen in slight intensity changes in horizontal direction. Note that the image is resized vertically by 50% and auto-level color corrected by the program paint.net.

Second test
Fig. 11. HSI v7 second test. Target is towards West in Longyearbyen as seen from the observation platform at the roof of UNIS, 02.07.2024 at 10:35 LT. Images generated at wavelengths 700, 800, and 900 nm represent blue, green and red colors in the composite image, respectively. Image bandpass is 3.3 nm. Exposure time is fixed at 11 msec with automatic analog gain in the 200-341 range. Arrows points to (a) sky, (b) asphalt road and (c) vegetation pixels.

The first test procedure was repeated on 02.07.2024 with summer target scenario towards West in Longyearbyen, recorded from the observation platform at the roof of UNIS. Again, the sensor operated at nominal 90 FPS, but now with a fixed exposure time at 11 msec. The horizontal background intensity variation along the sweep direction is the effect of the automatic analog gain, which varied from 200 to 341.

Objects or target areas such as blue sky, vegetation, buildings, and roads are clearly identified in the composite image. Furthermore, the single point spectrum of vegetation in Figure 12 shows the expected enhancement in intensity in the NIR 700-900 nm wavelength region, indicating healthy reflectance response.

Fig. 12. HSI v7 second test point spectra from (a) clear blue sky, (b) asphalt road and (c) vegetation. Date 02.07.2024 at 10:35 LT. Image point locations are marked with arrows in Figure 11.

All point spectra, especially the clear blue sky spectrum, detects the atmospheric absorption bands of O2 and H2O water vapor with high contrast. These signatures may be used to track spectral shift and performance in orbit.

Lesson learned
The press fit 3D parts design worked well with PETG. The 3D printing production time is only 18 hours. The optical parts and alignment did not move or change during several reassemblies. In addition, the optical elements are encapsulated into the plastic enclosure and protected from external forces. The system has become compact and ruggedized, ready for extreme environmental tests. A 3D filament that survives space is high on the wish list.

The assembled instrument operates 3 times faster than previous designs [1-4] due to increased sensitivity and processing speed. A nominal spectrogram readout rate of 90 versus 30 FPS, will increase the spatial resolution and decrease acquisition / sweep time in pushbroom mode. The target area for a drone or satellite based platform, may now be sampled faster.

The QE of the SiOnyx Black Silicon CMOS image sensor and the sensitivity calibration led to the conclusion that the spectral range is reduced to 600-1000 nm. A shift in center design wavelength down to 750 nm will increase the usable spectral range to 500-1000 nm. The shift will make more use of the active illuminated area of the image sensor. The latter will require a second order filter that cuts wavelengths below 500 nm. Candidates are the Hoya longpass filters W-Y495 or W-Y515.

As an extra bonus, since the SiOnyx sensor is highly sensitive in the visible part of the spectrum, it could also replace the Sony IMX174 CMOS currently used in the HSI v6 design. See QE in Figure 6.

Concluding remark
A DIY pushbroom Near Infra-Red Hyper Spectral Imager design (NIR HSI v7) is described using off-the-shelf optical components, 3D printing and a Black Silicon CMOS image sensor. The effective spectral range is 600 - 1000 nm with a spectral resolution less than 4 nm. Spatial resolution and sensitivity is be comparable to the HSI v6 on board the HYPSO-1 satellite at 3 times higher frame rates. Total part cost of prototype is estimated to be close to 5k USD.

Prototype parts list

Item Part / links Description Qty Cost $
1 VIS-NIR 50 mm 50mm C VIS-NIR Series Fixed Focal Length Objective * 3 1785
2 EO 2nd order filter M30.5 x 0.5 mounted Hoya R-60 red filter 1 54
3 Thorlabs SM1A10 Adapter ring SM1 - C- mount internal 2 45
4 Thorlabs SM1M10 SM1 lens tube 1 inch long with internal threads 1 17
5 Thorlabs S50LK Fixed high precision mounted slit 10 mm x 50μm 1 122
6 Thorlabs Spacer Rings Thorlabs C-mount 0.25-2mm space ring kit 1 121
7 Thorlabs GTI25-03A-NIR (25 x 25) mm 2 Blazed Trans. grating (300 grooves/mm) 1 118
8 Thorlabs right-angle prism N-BK7 Right-Angle Prism, Uncoated, L = 25 mm 1 65
9 SiOnyx RD board Black Silicon sensor (12.3 x 9.9) mm2-9.5μm sized pixels 1 790
10 3D printer material PRUSA Jet Black PETG filament 1 27
New candidates Date:11.06.2024
11 Thorlabs S30LK Fixed high precision mounted slit 10 mm x 30μm 1 128
12 Kowa VIS-NIR 50 mm 1" Ruggedized 50mm 5MP C-Mount Lens 3 1833
Total 13 5105

Table 1. Detailed part list NIR HSI v7.

Optical properties

Item Component Property
1 EO VIS-NIR 50 mm objective Transmission
2 Kowa VIS-NIR 50 mm objective Transmission
3 Thorlabs right-angle prism Transmission
4 EO Hoya R-60 red filter Transmission
5 Thorlabs transmission grating Efficiency
6 SiOnyx Black Silicon sensor Efficiency

Table 2. Optical component transmission and efficiencies. Data acquired from manufacturing companies.

References
  1. Fred Sigernes, Mikko Syrjäsuo, Rune Storvold, João Fortuna, Mariusz Eivind Grøtte, and Tor Arne Johansen, Do it yourself hyperspectral imager for handheld to airborne operations, Opt. Express 26, 6021-6035 (2018), https://doi.org/10.1364/OE.26.006021
  2. M. E. Grøtte, R. Birkeland, E. Honore-Livermore, S. Bakken, J. L. Garrett, E. F. Prentice, F. Sigernes, M. Orlandic, J. T. Gravdahl, T. A. Johansen, Ocean Color Hyperspectral Remote Sensing with High Resolution and Low Latency - the HYPSO-1 CubeSat Mission, IEEE Trans. Geoscience and Remote Sensing, Vol. 60, pp. 1-19 (2022), https://doi.org/10.1109/TGRS.2021.3080175
  3. M. Henriksen, E. Prentice, C. van Hazendonk, F. Sigernes, and T. Johansen, Do-it-yourself VIS/NIR pushbroom hyperspectral imager with C-mount optics, Opt. Continuum 1, 427-441 (2022), https://doi.org/10.1364/OPTCON.450693
  4. S. Bakken, M. B. Henriksen, R. Birkeland, D. D. Langer, A. E. Oudijk, S. Berg, Y. Pursley, J. L Garrett, F. Gran-Jansen, E. Honore- Livermore, M. E. Grøtte, B. A. Kristiansen, M. Orlandic, P. Gader, A. J. Sørensen, F. Sigernes, G. Johnsen and T. A. Johansen, HYPSO-1 CubeSat: First Images and In-Orbit Characterization, Remote sensing, 15(3), 755 (2023), https://www.mdpi.com/2072-4292/15/3/755
  5. Albert, Kinga, SvalPoint: A Multi-track Optical Pointing System, Luleå University of Technology / UNIS, Master's Thesis, (2014), https://kho.unis.no/doc/Thesis_KingaAlbert.pdf

  6. F. Sigernes, J. M. Holmes, M. Dyrland, D. A. Lorentzen, S. A. Chernous, T. Svenøe, J. Moen, and C. S. Deehr, Absolute calibration of optical devices with a small field of view, J. Opt. Technol. 74(10), 669-674 (2007). https://opg.optica.org/jot/abstract.cfm?uri=jot-74-10-669