A New On-Orbit Geometric Self-Calibration Approach for the High-Resolution Geostationary Optical Satellite GaoFen4

Wang, Mi; Cheng, Yin‐Jia; Tian, Yuan; He, Lei; Wang, Yanli

doi:10.1109/jstars.2018.2814205

Cited by 37 publications

(25 citation statements)

References 29 publications

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“…2 and 3, the rigorous imaging model of AGRI describes the mapping relationship between the image points in the image coordinate system and the corresponding objects in the ECR coordinate system, which is a very crucial foundation for the on-orbit geometric calibration. 2,14,15 In general, the remote sensing satellite observes the Earth via a complex optical system. In terms of the obtained images, every pixel in the image coordinate system has a mapping area on the surface of Earth.…”

Section: Rigorous Imaging Modelmentioning

confidence: 99%

“…Factually, the orbit and attitude measurement errors are random errors, whereas the installation angle error is a systematic error. 14,15 Although calibrated in the laboratory before launch, the installation matrix usually varies during operation in orbit. Affected by solar illumination, orbital heat flux, and the shock and vibration during launch, the installation angles are not constant but have a complex variation tendency.…”

Section: Installation Matrix Solving Algorithmmentioning

confidence: 99%

“…where A err_avg is the calculated average of the intersection angles. Based on the parameters of the instrument apparatus, the navigation error measured by pixel can be expressed as E Q -T A R G E T ; t e m p : i n t r a l i n k -; e 0 1 5 ; 1 1 6 ; 5 0 2 PE ðpixelÞ ¼ A err_avg ∕IFOV; (15) where IFOV is the instantaneous field of view of the AGRI.…”

Section: Assessment Of Navigation Precisionmentioning

confidence: 99%

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On-orbit installation matrix calibration and its application on AGRI of FY-4A

Chen

Zhang

et al. 2020

J. Appl. Rem. Sens.

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Image navigation is a primary process for on-orbit optical payloads involving environmental disaster monitoring, meteorological observation, and the positioning and tracking of space-aeronautics targets. However, because they are affected by solar illumination and orbital heat flux, as well as shock and vibration during launch, the installation structures between the instruments and satellite platform, especially for geostationary satellites, will inevitably generate a displacement resulting in the reduction of positioning accuracy. During the application of FengYun-4A (FY-4A), it is found that the further away from the subsatellite point, the greater the positioning error of Advanced Geostationary Radiation Imager (AGRI) on FY-4A will be. The positioning error can reach 14 pixels at the Arabian Peninsula in operational images. In addition, compared with orbital and attitude measurement errors, long-term observations show that the installation matrix is likely to be the most significant factor determining the navigation accuracy of AGRI. Therefore, an on-orbit installation matrix calibration approach as well as a high-precision navigation algorithm is proposed to modify the positioning error of AGRI. Experimental results show that the navigation error of the processed images corrected by the proposed method can be reduced to 1.3 pixels, which greatly improves the navigation procession of AGRI. In general, this method could be a supplement to the correction of positioning error for geostationary payloads.

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Section: Rigorous Imaging Modelmentioning

confidence: 99%

Section: Installation Matrix Solving Algorithmmentioning

confidence: 99%

Section: Assessment Of Navigation Precisionmentioning

confidence: 99%

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On-orbit installation matrix calibration and its application on AGRI of FY-4A

Chen

Zhang

et al. 2020

J. Appl. Rem. Sens.

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“…Firstly, the orbit model is established to generate six elements of orbit data

(the external orientation elements), and the data frequency is 1Hz [ 23 ].…”

Section: Algorithm Simulationmentioning

confidence: 99%

On-Orbit Calibration of Installation Matrix between Remote Sensing Camera and Star Camera Based on Vector Angle Invariance

Tang

Wei

et al. 2020

Sensors

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To achieve photogrammetry without ground control points (GCPs), the precise measurement of the exterior orientation elements for the remote sensing camera is particularly important. Currently, the satellites are equipped with a GPS receiver, so that the accuracy of the line elements of the exterior orientation elements could reach centimeter-level. Furthermore, the high-precision angle elements of the exterior orientation elements could be obtained through a star camera which provides the direction reference in the inertial coordinate system and star images. Due to the stress release during the launch and the changes of the thermal environment, the installation matrix is variable and needs to be recalibrated. Hence, we estimate the cosine angle vector invariance of a remote sensing camera and star camera which are independent of attitude, and then we deal with long-term on-orbit data by using batch processing to realize the accurate calibration of the installation matrix. This method not only removes the coupling of attitude and installation matrix, but also reduces the conversion error of multiple coordinate systems. Finally, the geo-positioning accuracy in planimetry is remarkably higher than the conventional method in the simulation results.

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“…The Gaofen-4 (GF-4) satellite is a geosynchronous orbit optical satellite with an orbital height of 36,000 km and a high resolution of 50 m, which has the advantages of realizing real-time cryptic observation of the marine environment [ 25 , 26 ]. GF-4 can observe disaster events such as algal blooms and red tides through pointing control to provide fast and reliable optical remote-sensing data [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Geosynchronous Satellite GF-4 Observations of Chlorophyll-a Distribution Details in the Bohai Sea, China

Cai

Tang

et al. 2020

Sensors

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We analyzed the distribution of chlorophyll-a (Chla) in the Bohai Sea area based on data from the geosynchronous orbit optical satellite Gaofen-4 (GF-4), which was launched in 2015, carrying a panchromatic multispectral sensor (PMS). This is the first time the geosynchronous orbit optical satellite GF-4 remote-sensing data has been used in China to detect the Chla change details in the Bohai Sea. A new GF-4 retrieved model was established based on the relationship between in situ Chla value and the reflectance combination of 2 and 4 bands, with the R2 of 0.9685 and the total average relative error of 37.42%. Twenty PMS images obtained from 2017 to 2019 were applied to analyze Chla in Bohai sea. The results show that: (1) the new built Chla inversion model PMS-1 for the GF-4 PMS sensor can extract Chla distribution details in the Bohai Sea well. The high Chla content in the Bohai Sea is mainly located in coastal areas, such as the top of Laizhou Bay, Bohai Bay and Liaodong Bay, with the value being around 13 µg/L. The concentration of Chla in the Bohai Strait and northern Yellow Sea is relatively low with the value being around 5 µg/L. (2). Taking full advantage of the continuous observation of geostationary orbit satellite, GF-4 with a high-resolution sensor PMS of 50 m can effectively detect short-term change (changes within 10 min) in Chla concentration. The changes mainly appear at the southwest and northeast costal area as well as in the center of Bohai Sea with the change value of around 3 µg/L. (3) The change of Chla concentration in the Bohai sea is related to the environmental factors such as seawater temperature, salinity, illumination and nutrient salts, as well as the dynamic factors such as wind, flow field and tidal current.

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A New On-Orbit Geometric Self-Calibration Approach for the High-Resolution Geostationary Optical Satellite GaoFen4

Cited by 37 publications

References 29 publications

On-orbit installation matrix calibration and its application on AGRI of FY-4A

On-orbit installation matrix calibration and its application on AGRI of FY-4A

On-Orbit Calibration of Installation Matrix between Remote Sensing Camera and Star Camera Based on Vector Angle Invariance

Geosynchronous Satellite GF-4 Observations of Chlorophyll-a Distribution Details in the Bohai Sea, China

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