Dark Current Noise Correction Method Based on Dark Pixels for LWIR QWIP Detection Systems

Du, Haoting; Xu, Jinping; Yin, Zihao; Chai, Mengyang; Sun, Dexin

doi:10.3390/app122412967

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…where σ MN is the total measurement noise, σ PS represents the photon shot noise, and the σ rest indicates the noise equivalent to the joint contribution of other noise sources such as the dark current (Du et al, 2022). Photon shot noise comes from the random nature of radiation, which gener-ates a fluctuation in the count of the number of photoelectrons at the detector that can be modeled as a Poisson distribution (Luo et al, 2010).…”

Section: Radiometric Characterizationmentioning

confidence: 99%

High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission

Roger¹,

Irakulis-Loitxate²,

Valverde³

et al. 2023

Preprint

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Methane mitigation from anthropogenic sources such as fossil fuels and waste management has been found as one of the most promising strategies to curb global warming in the near future. Satellite-based imaging spectrometers have demonstrated to be well-suited to detect and quantify these emissions at high spatial resolution. These instruments produce so-called hyperspectral data cubes of the solar radiation reflected by the Earth, measuring in the 400-2500 nm spectral range, with a spectral sampling of 5-15 nm and a spatial sampling of 30-60 m. Methane concentration enhancement maps are generated from those data cubes by leveraging spectral channels across the 2300 nm methane absorption window. The relatively high spatial resolution of the resulting methane maps allows for the detection and attribution of plumes to sources. The PRISMA satellite mission (ASI, Italy) hasbeen extensively used in the last years for this application. The recently-launched EnMAP mission (DLR/GFZ, Germany) presents similar spatial and spectral characteristics to PRISMA (30 m spatial resolution, 30 km swath, about 8 nm spectral sampling at 2300 nm) and can a priori thus be used for methane mapping as well.In this work, we investigate the potential and limitations of EnMAP for methane remote sensing, using PRISMA as a benchmark. First, we analyze the spectral and radiometric performance of EnMAP in the 2300 nm region used for methane retrievals, which includes parameters such as spectral uniformity and resolution and the signal-to-noise ratio (SNR). Our results show that in desertic areas at 2300 nm, EnMAP spectral resolution is about 2.7 nm smaller than in PRISMA and the SNR values are approximately twice as large, which leads to a higher sensitivity to methane that improves retrieval performance. This finding is illustrated by several show cases of methane plumes from different sources around the world with flux rate values ranging approximately from 1 to 20 t/h. We show plumes from sectors such as onshore oil and gas and coal mining, but also from more challenging sectors to detect such as landfills and offshore oil and gas. From the latter we detected two plumes with an unprecedented flux rate of about 1 t/h, which suggests that the detection limit in offshore areas can be significantly low under favorable conditions.

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Section: Radiometric Characterizationmentioning

confidence: 99%

High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission

Roger¹,

Irakulis-Loitxate²,

Valverde³

et al. 2023

Preprint

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show abstract

“…After integrating the whole satellite-borne on-board IR detection system until the on-orbit operation, the focal-plane dark current value is difficult to measure accurately in real-time. Both Landsat 8 TRIS and this research team set up dark pixels at the QWIP, and the response of the dark pixels can be used as a reference for the overall dark current level of the device [18,19]. A recurrent neural network was used to obtain the relationship between the dark pixels and the imaging pixels, which was then corrected for the target data.…”

Section: Introductionmentioning

confidence: 99%

Dark Current Measurement and Noise Correction Method for LWIR QWIP Detection System Based on Focal-Plane Temperature

Gong

et al. 2023

Applied Sciences

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The performance of long-wave infrared (LWIR) quantum well (QWIP) detection systems is seriously affected by the dark current of the detectors. Tiny variations in the focal-plane temperature of the devices cause fluctuations in the dark current, which in turn generate temporal noise. It is difficult to measure the dark current accurately after the detector assembly is packaged. To address the above problems, a QWIP dark current measurement method based on focal-plane temperature is proposed, as well as a method to reduce dark current noise. First, the response model of the LWIR QWIP detection system was established, and the dark current model was introduced. Then, the detection system components were introduced, chiller calibration experiments were carried out, and the dark current values of the QWIP at different temperatures were measured by combining the system design and parameters. Next, the dark current noise correction method was proposed, the target data were collected, and experiments were carried out to correct them. Finally, after the calculation, the temporal noise was reduced by 57.69% after the correction, which is proof of a significant effect. This method can obtain the real-time dark current value by collecting the focal-plane temperature data, and reduce the dark current temporal noise (difficult to eliminate using conventional methods), which is beneficial for promoting the application of QWIPs in LWIR remote sensing detection.

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High-Resolution Methane Mapping With the EnMAP Satellite Imaging Spectroscopy Mission

Roger,

Irakulis-Loitxate,

Valverde

et al. 2024

IEEE Trans. Geosci. Remote Sensing

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Dark Current Noise Correction Method Based on Dark Pixels for LWIR QWIP Detection Systems

Cited by 4 publications

References 29 publications

High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission

High-resolution methane mapping with the EnMAP satellite imaging spectroscopy mission

Dark Current Measurement and Noise Correction Method for LWIR QWIP Detection System Based on Focal-Plane Temperature

High-Resolution Methane Mapping With the EnMAP Satellite Imaging Spectroscopy Mission

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