Geometric calibration method based on a two-dimensional turntable for a directional polarimetric camera

Huang, Chan; Meng, Bo; Chang, Yuchou; Chen, Feinan; Zhang, Miaomiao; Han, Lin; Xiang, G. M.; Tu, Bihai; Hong, Jin

doi:10.1364/ao.59.000226

Cited by 12 publications

(5 citation statements)

References 22 publications

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“…The laboratory geometric calibration of DPC uses a geometric calibration method based on a separated twodimensional turntable and a single collimator [12][13][14] . When the DPC coordinate system is consistent with the coordinate system of the separated two-dimensional turntable, the separated two-dimensional turntable can be used to control the direction of the collimator to simulate a target with a known incident direction.…”

Section: Laboratory Geometric Calibration Methodsmentioning

confidence: 99%

“…According to the characteristics of DPC's large FOV and high-precision geometric calibration requirements, the laboratory adopts a geometric calibration method based on a separated two-dimensional turntable and a single collimator for calibration [12] . The calibration accuracy of this method can reach 0.1 pixel after improvement and optimization by C. Huang and G. F. Xiang et al [13,14] . Due to the application of large-scale equipment such as a separated two-dimensional turntable, it is extremely difficult to use this method to perform geometric calibration of DPC in a vacuum environment.…”

Section: Introductionmentioning

confidence: 92%

“…m represents the total number of data samples. ( , ) RT is the rotation matrix and translation vector, which can optimize the adjustment error between the DPC and the separated two-dimensional turntable coordinate system [13] . j   is used to correct the approximate error of the image point coordinates expressed by the spot centroid coordinates when the angle of view of the incident parallel beam is j  [14] .…”

Section: ˆ( )mentioning

confidence: 99%

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Analysis and correction of environmental differences in geometric performance of spaceborne optical instruments

Xiang

Meng

Han

et al. 2023

First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023)

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High precision laboratory geometric calibration is the basis for the validity of on-orbit data of the Directional Polarimetric Camera. However, the difference in refractive index between the laboratory geometric calibration environment and the on-orbit vacuum environment can lead to changes in instrument geometric performance. The geometric performance difference of the instrument in the standard atmospheric environment and vacuum environment was analyzed by Zemax. The image point position deviation of the instrument in the two environments increases monotonically with the FOV. The image point position in the standard atmospheric environment is further away from the optical axis. When the FOV of the incident beam is 60 o , the image points position deviation in all bands is greater than 1.42 pixels. Then, the laboratory carried out the environmental difference verification experiment based on the geometric performance verification light source. The experimental results are in good agreement with the Zemax analysis results, and the average deviation in the 670 nm band is less than 0.01 pixel. Finally, the laboratory geometric model parameters of the Directional Polarimetric Camera are corrected according to the Zemax analysis results. The corrected geometric model parameters will effectively improve the on-orbit geolocation and image registration accuracy of the Directional Polarimetric Camera.

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Section: Laboratory Geometric Calibration Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 92%

Section: ˆ( )mentioning

confidence: 99%

See 1 more Smart Citation

Analysis and correction of environmental differences in geometric performance of spaceborne optical instruments

Xiang

Meng

Han

et al. 2023

First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023)

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“…of each band of DPC [30][31][32]. In the actual projection process, the geometric model of on-orbit imaging composed of Equations ( 1) and ( 2) is adopted, combined with the digital elevation model (DEM) and the reference Earth ellipsoid model, to calculate the position of each pixel detection target in the WGS-84 at the imaging time.…”

Section: Geometric Model Of Dpc On-orbit Imagingmentioning

confidence: 99%

On-Orbit Autonomous Geometric Calibration of Directional Polarimetric Camera

Xiang

Meng

et al. 2022

Remote Sensing

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The Directional Polarimetric Camera (DPC) carried by the Chinese GaoFen-5-02 (GF-5-02) satellite has the ability for multiangle, multispectral, and polarization detection and will play an important role in the inversion of atmospheric aerosol and cloud characteristics. To ensure the validity of the DPC on-orbit multiangle and multispectral polarization data, high-precision image registration and geolocation are vital. High-precision geometric model parameters are a prerequisite for on-orbit image registration and geolocation. Therefore, on the basis of the multiangle imaging characteristics of DPC, an on-orbit autonomous geometric calibration method without ground reference data is proposed. The method includes three steps: (1) preprocessing the original image of the DPC and the satellite attitude and orbit parameters; (2) scale-invariant feature transform (SIFT) algorithm to match homologous points between multiangle images; (3) optimization of geometric model parameters on-orbit using least square theory. To verify the effectiveness of the on-orbit autonomous geometric calibration method, the image registration performance and relative geolocation accuracy before and after DPC on-orbit geometric calibration were evaluated and analyzed using the SIFT algorithm and the coastline crossing method (CCM). The results show that the on-orbit autonomous geometric calibration effectively improves the DPC image registration and relative geolocation accuracy. After on-orbit calibration, the multiangle image registration accuracy is better than 1.530 km, the multispectral image registration accuracy is better than 0.650 km, and the relative geolocation accuracy is better than 1.275 km, all reaching the subpixel level (<1.7 km).

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“…Table 1 lists the technical parameters and scientific research descriptions of each waveband of the load. For more detailed technical characteristics of the sensor, please refer to the DPC laboratory calibration and review materials [1][2][3][4]. The remote sensing of aerosols, ocean water color and clouds requires a high radiation accuracy of 2% or better.…”

Section: Introductionmentioning

confidence: 99%

The Operational Inflight Radiometric Uniform Calibration of a Directional Polarimetric Camera

Chen

Luo

et al. 2021

Remote Sensing

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The directional polarimetric camera (DPC) on-board the GF-5A satellite is designed for atmospheric or water color detection, which requires high radiometric accuracy. Therefore, in-flight calibration is a prerequisite for its inversion application. For large field optical sensors, it is very challenging to ensure the consistency of radiation detection in the whole field of view in the space environment. Our work proposes a vicarious in-flight calibration method based on sea non-equipment sites (visible bands) and land non-equipment sites (all bands). Combined with environmental parameters and radiation transmission calculations, we evaluated the radiation detection accuracy of the 0° to 60° view zenith angle of the DPC in each band. Our calibration method is based on the single-day normalized radiance data measured by the DPC. Through data selection, enough calibration samples can be obtained in a single day (the number of desert samples is more than 5000, and the number of calibration samples of the ocean is more than 2.8×106). The measurements are compared with the simulation of 6SV VRT code or look-up tables. The massive amount of data averages the uncertainty of a single-point calculation. Although the uncertainty of a single sample is significant, the final fitting of the curve of the variation in the radiometric calibration coefficient with the observation angle can still keep the root mean squared error at approximately 2–3% or even lower, and for visible bands, the calibration results for both ocean sites and desert sites are in good agreement regarding the non-uniformity of the sensor.

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Geometric calibration method based on a two-dimensional turntable for a directional polarimetric camera

Cited by 12 publications

References 22 publications

Analysis and correction of environmental differences in geometric performance of spaceborne optical instruments

Analysis and correction of environmental differences in geometric performance of spaceborne optical instruments

On-Orbit Autonomous Geometric Calibration of Directional Polarimetric Camera

The Operational Inflight Radiometric Uniform Calibration of a Directional Polarimetric Camera

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