Journal of Infrared and Millimeter Waves, Volume. 39, Issue 3, 339(2020)

Angle selection research based on multi-objectives optimized detection of clouds

Wei FANG1,2, Yan-Li QIAO1, Dong-Ying ZHANG1, Li-Li DU1、*, and Wei-Ning YI1
Author Affiliations
  • 1Key Laboratory of Optical Calibration and Characterization of Chinese Academy of Sciences, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei23003, China
  • 2University of Science and Technology of China, Hefei3006, China
  • show less

    It brings about both higher computational complexity and data scale augmentation, while multi-directional information of remote sensing images has the superiority in extending function and increasing accuracy in cloud detection. Directonal information on cloud detection comes from BRDF of surface combined with atmospheric effects. Although determing certain view angles in local area by analytic solution is possible, considering the complexities of application the traverse calculation for whole angles is still carried out in POLDER officer products. Due to the redundant information existed on close neighbours of angler layer, averaged joint information entropy and K-L information divergence can form a feature basis for selection of angle subset. Two algorithms of optimal and idel solutions on Pareto multi-objectives front are proposed. Experiments of cloud detection were taken on two POLDER datasets firstly, then on a dataset of directional polarimetric camera (DPC) on board GF-5 satellite. The experimental results demonstrated that the overall accuracy of cloud detection by proposed method based on 2 angle- layers combinations is 89.36%, Kappa equals 0.7845 The validation on DPC dataset also showed that in comparison with GF-5 remote sensing synthetic image the similarity among them is 86%. The computation efficiency was raised to 7 times . Thus the proposed method takes advantages on computational cost saving and retaining multi-angle image’s intrinsic information. It contributes a new insight to cloud detection with its advantages of effectiveness, satisfactory accuracy and automatic operation.

    Tools

    Get Citation

    Copy Citation Text

    Wei FANG, Yan-Li QIAO, Dong-Ying ZHANG, Li-Li DU, Wei-Ning YI. Angle selection research based on multi-objectives optimized detection of clouds[J]. Journal of Infrared and Millimeter Waves, 2020, 39(3): 339

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Remote Sensing Technology and Application

    Received: Jun. 17, 2019

    Accepted: --

    Published Online: Jul. 7, 2020

    The Author Email: Li-Li DU (lilydu@aiofm.ac.cn)

    DOI:10.11972/j.issn.1001-9014.2020.03.012

    Topics