Anterior|Siguiente

Global relative radiation correction method for the HY-1C/D Coastal Zone Imager

  • role： First author第一作者
  • Affiliation：

    School of Cyber Science and Engineering, Wuhan University, Wuhan 430079, China

  • Email：dairongfan@whu.edu.cn
  • Introduction：戴荣凡，研究方向为光学卫星数据处理。Email：dairongfan@whu.edu.cn
DAI Rongfan1,  
  • role： Corresponding author通信作者
  • Affiliation：

    National Satellite Ocean Application Service, Beijing 100081, China

  • Email：hjy@mail.nsoas.org.cn
  • Introduction：韩静雨，研究方向为海洋卫星的接收与预处理。Email：hjy@mail.nsoas.org.cn
HAN Jingyu2*,  
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

WANG Mi3,  
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

CHEN Ru3,  
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

PENG Tao3,  
  • Affiliation：

    School of Cyber Science and Engineering, Wuhan University, Wuhan 430079, China

ZHANG Haonan1

resumen

The HY-1 C/D satellite Coastal Zone Imager (CZI) can image a width of 950 km through the combination of multiple detector groups, which greatly improves the satellite remote sensing data acquisition capability. It is of great significance in global earth observation and ocean water color elements. However, the super-wide imaging system presents severe challenges to the full field of view relative radiometric correction processing. One of the challenges is that the ground calibration field cannot cover all the probes in the imaging field of view due to the ground coverage of the push-scan imaging being nearly 1,000 km. Another challenge is that the full field of linear array detectors and the imaging view differences can cause obvious color differences, and camera mosaic imaging can easily have more serious radiation error accumulation.The CZI is equipped with two cameras and four CCDs for combined imaging. The two CCDs inside the camera adopt collinear full reflection-full transmission optical splicing. The mirror blocks the overlapping area between the reflection and transmission regions, so energy is attenuated at the edge of the image, forming a vignette. Different focal-plane structure installation and imaging field of view, as well as different CCDs, especially the camera response difference, result in dynamic light and shade changes between images and an obvious color difference.To address this issue, an adaptive global color consistency processing method is proposed according to the characteristics of the load structure of the CZI. On the basis of single CCD image radiation correction, the color consistency processing can be carried out adaptively using the global optimization strategy. The global optimization strategy means that a single CCD image is used as a unit of all image color correction model processing, to obtain the global meaning of the optimal solution and eliminate the overall color difference between images. The proposed method first uses the on-orbit statistical method to correct the radiation of single CCD image, which improves the vignetting problem. Subsequently, high-precision geometric stitching of multiple CCD images is carried out using the large-field virtual reimaging method. On this basis, the mean and variance of the overlapping area are calculated to describe the color information of each image. Finally, according to the color consistency constraint of adjacent overlapping area before and after color correction, color parameter calculation and image balance correction of global multi CCD images are realized. In the calculation of color parameters, while eliminating the color differences between images, the color differences of the images before and after correction are ensured to be as small as possible. Doing so increases the number of necessary observation equations and solves the rank deficit problem caused by the number of overlapping pieces always being less than the number of CCD pieces.The experimental results show that root-mean-square deviation of the mean line, generalized noise method, and streaking metrics of the proposed method are better than those of the path transfer method after full field relative radiometric correction. In addition, the relative radiation quality of HY-1C/D satellite CZI is better by 3%.

palabra clave

HY-1C/D satellite;Coastal Zone Imager(CZI);on-orbit statistical method;color consistency;adaptive equalization between ccd images;relative radiation quality

References

  1. 1.
    Chen R, Han J Y, Wang M, He L X, Dai R F and Sun C R. 2023. A study on relative radiometric calibration using side-slither data for HY-1D CZI. National Remote Sensing Bulletin, 27(1): 43-54
  2. 2.
    Han Y T. 2014. Research on some Problems of Color Consistency Processing in Digital Orthophoto Mosaic. Wuhan: Wuhan University
  3. 3.
    Hu Y F and Zhang Y F. 2007. Analysis of relative radiometric calibration accuracy of space camera. Spacecraft Recovery and Remote Sensing, 28(4): 54-57
  4. 4.
    Li D R, Wang M and Pan J. 2006. Auto-dodging processing and its application for optical RS images. Geomatics and Information Science of Wuhan University, 31(9): 753-756
  5. 5.
    Li L, Xia M H, Liu C, Li L, Wang H Y and Yao J. 2020. Jointly optimizing global and local color consistency for multiple image mosaicking. ISPRS Journal of Photogrammetry and Remote Sensing, 170: 45-56
  6. 6.
    Li L T, Zhang G, Jiang Y H and Shen X. 2021. An improved on-orbit relative radiometric calibration method for agile high-resolution optical remote-sensing satellites with sensor geometric distortion. IEEE Transactions on Geoscience and Remote Sensing, 60: 5606715
  7. 7.
    Liu J C, Liu J Q, Ding J and Lu Y C. 2022. A refined imagery algorithm to extract green tide in the Yellow Sea from HY-1C satellite CZI measurements. Haiyang Xuebao, 44(5): 1-11
  8. 8.
    Liu J Q, Ye X M, Song Q J, Ding J and Zou B. 2023. Products of HY-1C/D ocean color satellites and their typical applications. National Remote Sensing Bulletin, 27(1): 1-13
  9. 9.
    Liu Y K, Long T F, Jiao W L, He G J, Chen B and Huang P. 2022. 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. IEEE Transactions on Geoscience and Remote Sensing, 60: 5616725
  10. 10.
    Pan J, Wang M, Li D R and Li J. 2009. Automatic generation of seamline network using area Voronoi diagrams with overlap. IEEE Transactions on Geoscience and Remote Sensing, 47(6): 1737-1744
  11. 11.
    Pan J, Wang M, Li D R and Li J L. 2010. A network-based radiometric equalization approach for digital aerial orthoimages. IEEE Geoscience and Remote Sensing Letters, 7(2): 401-405
  12. 12.
    Shi Y R, Jiang Y, Li L T, Yu L J and Jiang Y H. 2020. The research on normalized radiometric calibration method of optical satellite. Journal of Geo-Information Science, 22(12): 2410-2424
  13. 13.
    Sun M W and Zhang J Q. 2008. Dodging research for digital aerial images//The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Beijing: [s.n.]: 349-354
  14. 14.
    Wang M and Pan J. 2004. A method of removing the uneven illumination for digital aerial image. Journal of Image and Graphics, 9(6): 744-748
  15. 15.
    Wang M and Pan J. 2006. A new color balance method for large-scale seamless image database. Remote Sensing for Natural Resources, (4): 10-13
  16. 16.
    Wang M, Chen C C, Pan J, Zhu Y and Chang X L. 2018. A relative radiometric calibration method based on the histogram of side-slither data for high-resolution optical satellite imagery. Remote Sensing, 10(3): 381
  17. 17.
    Wang M, Zhang B X and Pan J. 2011. Radiometric correction method of TDI-CCD imaging data based on segmentation. Scientia Sinica (Informationis), 41(S1): 32-41
  18. 18.
    Xie R P, Xia M H, Yao J and Li L. 2018. Guided color consistency optimization for image mosaicking. ISPRS Journal of Photogrammetry and Remote Sensing, 135: 43-59
  19. 19.
    Yang W, Zhou N and Cao J S. 2021. Double-camera geometric stitching of HY-1D coastal zone imager. Spacecraft Recovery and Remote Sensing, 42(4): 99-107
  20. 20.
    Yu L. 2017. Key Technology on Color Balancing for Creation of Color Consistency Synthetic Products with Optical Remote Sensing Imagery. Wuhan: Wuhan University
  21. 21.
    Zhang G, Jiang Y H, Li L T, Deng M J and Zhao R S. 2019. Research progress of high-resolution optical/SAR satellite geometric radiometric calibration. Acta Geodaetica et Cartographica Sinica, 48(12): 1604-1623
  22. 22.
    Zhao Y H, Li Y, Jin L B, Li Y Q and Wang H. 2019. High precision radiometric calibration technology for visible and infrared multispectral lmager. Aerospace Shanghai, 36(S2): 106-111

Leer el texto completo

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website