4.7 Article

A General Relative Radiometric Correction Method for Vignetting and Chromatic Aberration of Multiple CCDs: Take the Chinese Series of Gaofen Satellite Level-0 Images for Example

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2022.3141223

关键词

Calibration; Radiometry; Satellite broadcasting; Image color analysis; Cameras; Brightness; Charge coupled devices; Global chromatic aberration calibration; Newton's method; phase correlation; push-broom; ridge regression; subpixel-based; vignetting calibration

资金

  1. National Natural Science Foundation of China [61731022, 61701495]
  2. Chinese Academy of Sciences [XDA19090300]
  3. National Key Research and Development Programs of China [2017YFE0125900]

向作者/读者索取更多资源

This article proposes a general relative radiometric correction method based on the gray-level co-occurrence matrix (GLCM), which can effectively correct vignetting, chromatic aberration, and other problems in Level-0 images captured by spaceborne push-broom imaging system. The experiments show that the proposed method has good robustness and universality.
The relative radiometric correction for Level-0 images captured by spaceborne push-broom imaging system faces the problems of vignetting, chromatic aberration, brightness saturation difference, misalignment, and so on. This article proposed a general relative radiometric correction method, which was applied to Gaofen series satellite Level-0 images. In the course of vignetting calibration, the proposed method based on the gray-level co-occurrence matrix (GLCM) did not use side-slither data and the DNMAX truncation method can solve brightness saturation difference. During chromatic aberration calibration, the subpixel-based phase correlation algorithm was first used to register adjacent CCDs, and then, the proposed global optimization method was adapted to calibrate multiple CCDs. The fixed calibration parameters for vignetting and chromatic aberration calculated by ridge regression and Newton's method can be directly applied to correct other orbital Level-0 images. To verify the robustness and universality, Level-0 images of GF-1B, GF-1C, GF-1D, and GF-2 satellites were chosen for experiments, and the results were better than the existing methods. In addition, some official Level-1 products of GF-1B and GF-1C, covering particularly dark or bright surfaces (e.g., snow, sea, and cloud), were used to compare with the calibrated images of the proposed method. Results showed that relative radiometric correction by applying the independently estimated calibration parameters in this work achieved satisfactory results without the defects existing in official Level-1 products. Finally, results of relative radiometric correction of 30 orbital Level-0 images around the world further strengthened the conclusion that the estimated calibration parameters can be reused in other regions or seasons.

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