Auto-calibration of GF-1 WFV images using flat terrain

Zhang, Guo; Kai, Xu; Huang, Wenchao

doi:10.1016/j.isprsjprs.2017.10.009

Cited by 16 publications

(5 citation statements)

References 26 publications

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“…Therefore, in order to address the limitation of agility, the relative constraints of overlapped image pairs are constructed through generalized models to calibrate the IOPs of the camera. For example, the generalized distortion model of the WFV camera equipped with GF-1 was calibrated with the corresponding pairs extracted from overlapped images [32]. Yang et al [15] proposed an integrated geometric self-calibration method with the relative constraints between images of each camera and the intersection constraints of stereo images to calculate the calibration parameters of the stereo cameras of ZiYuan-3; meanwhile, a step-wise block adjustment method was developed to conduct integrated processing of large-scale ZY-3 satellite images without GCPs [33].…”

Section: Literature Reviewmentioning

confidence: 99%

In-Orbit Geometric Calibration for Long-Linear-Array and Wide-Swath Whisk-Broom TIS of SDGSAT-1

Zhao

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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Because of the imaging mechanism complexity of long-linear-array and wide-swath whisk-broom thermal infrared spectrometer (TIS) of the first Sustainable Development Goals Satellite (SDGSAT-1), how to achieve a high geometric positioning accuracy (GPA) becomes the core factor in subsequent geometric quantitative applications. Here, in this article, a three-step in-orbit geometric calibration (GC) strategy comprising the estimations of exterior orientation parameters (EOPs), interior orientation parameters (IOPs), and scanning compensation parameters (SCPs) is proposed to correct the geo-location displacements for whisk-broom TIS. First, in accordance with the optical-mechanical structure and pinhole imaging theory, we establish the rigorous geometric positioning model (RGPM) of TIS and analyze the error resources term-by-term along the error propagation link elaborately. Second, the corresponding rigorous geometric calibration model (RGCM) is constructed in detail based on the 2-D look-angle model and the generalized bias correction matrix. Especially for eliminating the systematic nonlinear errors in the scanning direction, a fifth-degree polynomial is put forward to be employed to fit and compensate for the angular measurement errors of the scanning mirror. Finally, a threestep estimation method is presented to estimate the calibration parameters with ground control points (GCPs). Experimental results based on the spatial references of Landsat 8 panchromatic Manuscript

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Section: Literature Reviewmentioning

confidence: 99%

In-Orbit Geometric Calibration for Long-Linear-Array and Wide-Swath Whisk-Broom TIS of SDGSAT-1

Zhao

et al. 2023

IEEE Trans. Geosci. Remote Sensing

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“…Frame period(s) 0.1 5 N 1 7 From the above analysis, it can be seen that although LJ1-01 is loaded with a planar array CMOS, its rolling shutter time-sharing exposure mode is similar to the linear array pushbroom working mode, and its rigorous geometric positioning model [10][11][12][13] can be constructed as follows: In Figure 2, the x axis represents the starting time of exposure, starting from T 0 , the y axis represents the imaging line; T ex represents an exposure time; T f p represents the time interval between the capture of two frames and the T f p can be adjusted in orbit; H represents the height of the CMOS array; N represents the number of lines exposed simultaneously, which means that the exposure is started at the N + 1th line after the end of the first line of exposure. The process can be defined as follows: Each line is sequentially exposed, and the exposure time of each line is the same.…”

Section: Parameters Daytime Nighttimementioning

confidence: 99%

“…From the above analysis, it can be seen that although LJ1-01 is loaded with a planar array CMOS, its rolling shutter time-sharing exposure mode is similar to the linear array pushbroom working mode, and its rigorous geometric positioning model [10][11][12][13] can be constructed as follows:…”

Section: Parameters Daytime Nighttimementioning

confidence: 99%

On-Orbit Geometric Calibration and Validation of Luojia 1-01 Night-Light Satellite

et al. 2019

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The Luojia 1-01 Satellite (LJ1-01) is the first professional night-light remote-sensing satellite in China, and thus, it is of pioneering significance for the development of night-light remote sensing satellites in China and the application of remote sensing in the social and economic fields. To ensure the application of night-light remote-sensing data, several studies concerning on-orbit geometric calibration and accuracy verification have been carried out for the complementary metal oxide semiconductor (CMOS) rolling shutter camera of LJ1-01 since the launch of the satellite. Owing to the lack of high-precision nightlight geometric reference at home and abroad, it is difficult to directly calibrate the nighttime light image of LJ1-01. Based on the principle of rolling shutter dynamic imaging, a rigorous geometric imaging model of the time-sharing exposure of the rolling shutter of LJ1-01 is established, and a geometric calibration method for daytime imaging calibration and compensated nighttime light data is proposed. The global public Landsat digital orthophoto image (DOM) with a 15-m resolution and 90-m Shuttle Radar Topography Mission digital elevation model (SRTM-DEM) are used as control data. The images obtained in England, Venezuela, Caracas, Damascus, and Torreon (Mexico) were selected as experimental data. The on-orbit calibration and accuracy verification of LJ1-01 were carried out. Experiments show that after on-orbit geometric calibration, the daytime calibration parameters can effectively compensate for the systematic errors of night-light images. After compensation, the positioning accuracy of night-light images without geometric control points (GCPs) is improved from nearly 20 km to less than 0.65 km. The internal accuracy of the calibrated night-light images is better than 0.3 pixels, which satisfies the requirement of subsequent applications.

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“…The wide-field-of-view (WFV) imagers onboard Gaofen-1 possess a high spatial resolution of 16 m and a combined scanning swath of over 800 km [26,34]. The close-nadir cameras on Gaofen-1 (WFV2 and WFV3) have a viewing zenith angle range of 0 • to 24 • , while the off-nadir cameras (WFV1 and WFV4) have a range of 24 • to 40 • [35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Radiometric Cross-Calibration of Wide-Field-of-View Cameras Based on Gaofen-1/6 Satellite Synergistic Observations Using Landsat-8 Operational Land Imager Images: A Solution for Off-Nadir Wide-Field-of-View Associated Problems

Dong

Chen

et al. 2023

Remote Sensing

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The Gaofen-1 satellite is equipped with four wide-field-of-view (WFV) instruments, enabling an impressive spatial resolution of 16 m and a combined swath exceeding 800 km. These WFV images have shown their valuable applications across diverse fields. However, achieving accurate radiometric calibration is an essential prerequisite for establishing reliable connections between satellite signals and biophysical, as well as biochemical, parameters. However, observations with large viewing angles (>20°) pose new challenges due to the bidirectional reflectance distribution function (BRDF) effect having a pronounced impact on the accuracy of cross-radiation calibrations, especially for the off-nadir WFV1 and WFV4 cameras. To overcome this challenge, a novel approach was introduced utilizing the combined observations from the Gaofen-1 and Gaofen-6 satellites, with Landsat-8 OLI serving as a reference sensor. The key advantage of this synergistic observation strategy is the ability to obtain a greater number of image pairs that closely resemble Landsat-8 OLI reference images in terms of geometry and observation dates. This increased availability of matching images ensures a more representative dataset of the observation geometry, enabling the derived calibration coefficients to be applicable across various sun–target–sensor geometries. Then, the geometry angles and bidirectional reflectance information were put into a Particle Swarm Optimization (PSO) algorithm incorporating radiative transfer modeling. This PSO-based approach formulates cross-calibration as an optimization problem, eliminating the reliance on complex BRDF models and satellite-based BRDF products that can be affected by cloud contamination. Extensive validation experiments involving satellite data and in situ measurements demonstrated an average uncertainty of less than eight percent for the proposed cross-radiation calibration scheme. Comparisons of top-of-atmosphere (TOA) results calibrated using our proposed scheme, the previous traditional radiative transfer modeling using MODIS BRDF products for BRDF correction (RTM-BRDF) method, and official coefficients reveal the superior accuracy of our method. The proposed scheme achieves a 36.99% decrease in root mean square error (RMSE) and a 38.13% increase in mean absolute error (MAE) compared to official coefficients. Moreover, it achieves comparable accuracy to the RTM-BRDF method while eliminating the need for MODIS BRDF products, with a decrease in RMSE exceeding 14% for the off-nadir WFV1 and WFV4 cameras. The results substantiate the efficacy of the proposed scheme in enhancing cross-calibration accuracy by improving image match-up selection, efficiently removing BRDF effects, and expanding applicability to diverse observation geometries.

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Auto-calibration of GF-1 WFV images using flat terrain

Cited by 16 publications

References 26 publications

In-Orbit Geometric Calibration for Long-Linear-Array and Wide-Swath Whisk-Broom TIS of SDGSAT-1

In-Orbit Geometric Calibration for Long-Linear-Array and Wide-Swath Whisk-Broom TIS of SDGSAT-1

On-Orbit Geometric Calibration and Validation of Luojia 1-01 Night-Light Satellite

Radiometric Cross-Calibration of Wide-Field-of-View Cameras Based on Gaofen-1/6 Satellite Synergistic Observations Using Landsat-8 Operational Land Imager Images: A Solution for Off-Nadir Wide-Field-of-View Associated Problems

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