Improved Line Tracing Methods for Removal of Bad Streaks Noise in CCD Line Array Image—A Case Study with GF-1 Images

Wang, Bo; Jin, Bao; Wang, Shikui; Wang, Houjun; Sheng, Qinghong

doi:10.3390/s17040935

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…Bad (or missing) pixels are found not only in GEMS data but also in other satellite images. The information gaps induced by those pixels have motivated the development of methods to reconstruct Level-1 data from various space-borne instruments, including the Moderate Resolution Imaging Spectroradiometer (MODIS) [3][4][5][6][7][8], Landsat [4][5][6][7][8][9][10][11], and Gaofen-1 [12].…”

Section: Introduction Hementioning

confidence: 99%

A Robust Bad-Pixel Radiance Reconstruction for the Geostationary Environment Monitoring Spectrometer (GEMS) – Influences on Aerosol Retrieval

Chong,

Lee,

Jung

et al. 2024

IEEE Trans. Geosci. Remote Sensing

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The Geostationary Environment Monitoring Spectrometer (GEMS), launched in February 2020, performs hourly measurements of earthshine radiances to retrieve column amounts of air pollutants over Asia. However, the charge-coupled device detector of GEMS has bad pixels that exhibit abnormal radiometric responses, which translates to a decrease in the quality of radiance measurements. Permanent bad pixels result in an information gap in the aerosol product at ~14.4-16.1ºN latitudes (e.g., in Manila, the Philippines, and Mainland Southeast Asia), which cannot be filled even with long-term observations owing to the structure of the East-West scanning mechanism of GEMS. Here, we propose a robust method to reconstruct radiances measured inaccurately by the bad pixels, based on spectral correlation induced mainly by the Fraunhofer line structures. The reconstruction aims at the bad pixels in the wavelength range of ~485-491 nm, which affects aerosol retrieval. We estimate that uncertainties in the reconstructed optical depths are ~2 orders of magnitude smaller than typical aerosol optical depths. Our results convincingly demonstrate that the reconstructed radiances effectively restore the physical distributions of visible aerosol indices, improving the determination of aerosol types. Furthermore, the reconstructed radiances enhance retrievals of aerosol layer height (ALH), holding particular significance for the long-term accumulation of ALH data over Southeast Asia using GEMS.

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Section: Introduction Hementioning

confidence: 99%

A Robust Bad-Pixel Radiance Reconstruction for the Geostationary Environment Monitoring Spectrometer (GEMS) – Influences on Aerosol Retrieval

Chong,

Lee,

Jung

et al. 2024

IEEE Trans. Geosci. Remote Sensing

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“…Dynamic high-precision attitude measurement has become indispensable for aircrafts [5,6]. Because this technique requires the image to provide extremely accurate star point coordinates, research on resolving errors related to star sensor imaging errors is always ongoing [7].…”

Section: Introductionmentioning

confidence: 99%

A Stellar Imaging Error Correction Method Based on an Ellipsoid Model: Taking Ziyuan 3-02 Satellite Data Analysis as an Example

Wang

Zhou

Gao

et al. 2018

Sensors

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Stellar point image coordinates are one of the important observations needed for high-precision space attitude measurement with a star sensor. High-coupling imaging errors occur under dynamic imaging conditions. Using the results of preliminary star point extraction from star sensor imaging data combined with a superimposed time series, we analyze the relative motion and trajectory based on the star point image, establish an image error ellipsoid fitting model based on the elliptical orbit of a satellite platform, and achieve geometric error correction of a star sensors’ image star point using multi-parameter screening of the ambiguous solutions of intersection of the elliptic equations. The simulation data showed that the accuracy of the correction error of this method reached 89.8%, and every star point coordinate required 0.259 s to calculate, on average. In addition, it was applied to real data from the satellite Ziyuan 3-02 to carry out the correction of the star points. The experiment shows that the mean of attitude quaternion errors for all its components was reduced by 52.3%. Our results show that the estimation parameters of dynamic imaging errors can effectively compensate for the star point image observation value and improve the accuracy of attitude calculation.

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An ASIC chip with pipeline ADCs for CCD sensor imaging system

Sun

Zhang

Fang

2018

Sensors and Actuators A: Physical

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Improved Line Tracing Methods for Removal of Bad Streaks Noise in CCD Line Array Image—A Case Study with GF-1 Images

Cited by 5 publications

References 14 publications

A Robust Bad-Pixel Radiance Reconstruction for the Geostationary Environment Monitoring Spectrometer (GEMS) – Influences on Aerosol Retrieval

A Robust Bad-Pixel Radiance Reconstruction for the Geostationary Environment Monitoring Spectrometer (GEMS) – Influences on Aerosol Retrieval

A Stellar Imaging Error Correction Method Based on an Ellipsoid Model: Taking Ziyuan 3-02 Satellite Data Analysis as an Example

An ASIC chip with pipeline ADCs for CCD sensor imaging system

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