A study on relative radiometric calibration using side-slither data for HY-1D CZI

  • role: First author第一作者
  • Affiliation:

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

  • Email:chenru@whu.edu.cn
  • Introduction: E-mail chenru@whu.edu.cn
CHEN Ru1,  
  • role: Corresponding author通信作者
  • Affiliation:

    National Satellite Ocean Application Service, Beijing 100081, China

  • Email:hjy@mail.nsoas.org.cn
  • Introduction: E-mail 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 Mi1,  
  • Affiliation:

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

HE Luxiao1,  
  • Affiliation:

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

DAI Rongfan3,  
  • Affiliation:

    National Satellite Ocean Application Service, Beijing 100081, China

SUN Congrong2

résumé

The HY-1D satellite is equipped with a Coastal Zone Imager (CZI), which uses both field-of-view-butting and optical-butting. Due to the CZI's super large 63° field of view, the edge of the camera is distorted obviously, which makes the side-slither images distorted observably nonlinearly. The Lines on side-slither images are not slanted lines close to 45°, but irregular curves with a straight middle and bent edges. The traditional processing algorithm for side-slither images based on LSD (Line Segment Detector) is not suitable for the side-slither image of the HY-1D CZI. Aiming at the structural characteristics of the HY-1D CZI, this paper proposed a method for automatic standardization of side-slither images based on the neighbor relationship of detectors, which effectively resolves the problem of the nonlinear distortion of the HY-1D CZI’s 90 degree side-slither image. Firstly, primary correction is performed on the side-slither image according to the traditional side-slither image processing method; Secondly, starting from the first column of the primary corrected image, the mean square error between the current column and the next column with a sliding window with a certain step size in the row direction is calculated, and the step corresponding to the minimum mean square error is taken as the relative value of the next column. Based on the offset of the current column, the overall offset of each column is determined in turn; Finally, according to the offset calculated in the second step, the enhanced corrected side-slither image is obtained by adjusting the primary corrected image, and then the relative radiometric calibration coefficient of the camera is obtained through histogram matching on images. The relative radiometric calibration experiments are carried out on the normal push-broom images, and the comparison experiments are implemented using the on-orbit statistical method. After using the method we proposed, for land scenes, the maximum streaking coefficient of all sensors in the land scene is smaller than 0.33%, the average streaking coefficient is smaller than 0.04%, and the median streaking coefficient is smaller than 0.03%; For ocean scenes, the maximum streaking coefficient of all the sensors is smaller than 0.48%, the average streaking coefficient is smaller than 0.07%, and the median streaking coefficient is smaller than 0.06%. The experiment shows that all indicators are better than the on-orbit statistical method based on massive statistical data of normal push-broom images, our method effectively improves the relative radiometric quality of the HY-1D CZI.

mots-clés

side-slither data;HY-1D (Coastal Zone Imager) CZI;automatic standardization processing;relative radiometric calibration

References

  1. 1.
    Bindschadler R and Choi H. 2003. Characterizing and correcting hyperion detectors using ice-sheet images. IEEE Transactions on Geoscience and Remote Sensing, 41(6): 1189-1193.
  2. 2.
    Chu Bei, Li Fuqiang and Chang Junlei. 2016. Calculation of overlapping pixels in focal plane based on optical butting. Opto-Electronic Engineering, 43(12): 99
  3. 3.
    Duan Y N, Yan L, Yang B, Jing X and Chen W. 2013. Outdoor relative radiometric calibration method using gray scale targets. Science China:Technological Sciences, 43(8): 850-859
  4. 4.
    Duan Y N, Zhang L F, Yan L, Wu T X, Liu Y S and Tong Q X. 2014. Relative radiometric correction methods for remote sensing images and their applicability analysis. Journal of Remote Sensing, 18(3): 597-617
  5. 5.
    Gao Z Q, Yang Z G and Wang X F. 2009. Relative radiometric calibration and radiometric calibration site. Image Technology, 21(4): 48-53
  6. 6.
    Gioi R G V, Jakubowicz J, Morel J M and Randall G. 2010. LSD: a fast line segment detector with a false detection control. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(4): 722-732
  7. 7.
    Greslou D, Lussy F D, Delvit J, Dechoz C and Amberg V. 2012. Pleiades-HR innovative techniques for geometric image quality commissioning. ISPRS—International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIX-B1: 543-547.
  8. 8.
    Guo J N, Yu J, Zeng Y, Xu J Y, Pan Z Q and Hou M H. 2005. Study on the relative radiometric correction of CBERS satellite CCD image. Science in China Series E-Information Sciences, 35(Z1): 11-25
  9. 9.
    Horn B K P and Woodham R J. 1979. Destriping landsat MSS images by histogram modification. Computer Graphics and Image Processing, 10(1): 69-83
  10. 10.
    Jiang X W, Lin M S and Zhang Y G. 2016. Progress and prospect of Chinese ocean satellites. Journal of Remote Sensing, 20(5):1185-1198
  11. 11.
    Krause K S. 2006. QuickBird relative radiometric performance and on-orbit long term trending//Proceedings of SPIE 6296, Earth Observing Systems XI. California: SPIE: 62960P
  12. 12.
    Krause K S. 2008. WorldView-1 Pre and post launch radiometric calibration and early on-orbit characterization//Proceedings of the SPIE 7081, Earth Observing Systems XIII. San Diego, CA:SPIE, 7081:708116
  13. 13.
    Liu Y N, Sun D X, Cao K Q, Liu S F, Chai M Y, Liang J and Yuan J. 2020. Evaluation of GF-5 AHSI on-orbit instrument radiometric performance. Journal of Remote Sensing. 24(4): 352-359
  14. 14.
    Ma X M, Dong J H, Li Y C and Xu S Y. 2008. Design and analysis of CCD focal plane for space optical remote sensor. Computer Simulation, 25(7): 321-324
  15. 15.
    Ornstein L S, Vermeulen D and van der Held E F M. 1930. Calibration of standard lamps for relative and absolute measurements. Journal of the Optical Society of America, 20(10): 573-584
  16. 16.
    Pesta F, Bhatta S, Helder D and Mishra N. 2015. Radiometric non-uniformity characterization and correction of landsat 8 OLI using earth imagery-based techniques. Remote Sensing, 7(1): 430-446
  17. 17.
    Ren J W, Liu Z X, Wan Z, Li X S and Ren J Y. 2010. Radiometric calibration of off-axis three-mirror-anastigmat space camera with wide viewing field. Optics and Precision Engineering, 18(7): 1491-1497
  18. 18.
    Tang X M, Hu F, Wang M, Pan J, Jin S Y and Lu G. 2014. Inner FoV stitching of spaceborne TDI CCD images based on sensor geometry and projection plane in object space. Remote Sensing, 6(7): 6386-6406
  19. 19.
    Wang L L, Wu H Y, Bai Y, Meng X Q, He X J, Huang S and Yang S. 2021. Onboard relative radiation calibration based on deployable solar diffuser. National Remote Sensing Bulletin, 25(10):2067-2075
  20. 20.
    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
  21. 21.
    Wang M, Zhang B X and Pan J. 2011. Radiometric correction method of TDI-CCD imaging data based on segmentation. Science China Series: Information Sciences, 41(S1): 32-41
  22. 22.
    Wegener M. 1990. Destriping multiple sensor imagery by improved histogram matching. International Journal of Remote Sensing, 11(5): 859-875
  23. 23.
    Yang H, Guo Y and Fu R M. 2003. Study on field butting of TDICCD. Optical Technique, 29(2): 226-228
  24. 24.
    Zhang G and Li L T. 2017. A study on relative radiometric calibration without calibration field for YG-25. Acta Geodaetica et Cartographica Sinica, 46(8): 1009-1016

Lire l'article complet

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