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Chinese Conference on Image and Graphics Technologies

IGTA 2019: Image and Graphics Technologies and Applications pp 425–435Cite as

An Improved Dark Object Subtraction Method for Atmospheric Correction of Remote Sensing Images

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1043))

Abstract

Atmospheric correction is an important and essential procedure of high-quality remote sensing data for quantitative application and surface parameters retrieval, while aerosols and water vapor are larger temporal and spatial variation, which are the main factors restricting the accuracy of atmospheric correction. An Improved Dark Object Subtraction (IDOS) method is proposed in this paper. The new method retrieves the ancillary information on the aerosol optical depth (AOD) and total water vapor (TWV) from the multi-spectral information. The AOD and TWV obtained from the retrieval are used to optimize the DOS model. The experiment is carried out using data of Sentinel-2, which carries a Multispectral Instrument (MSI). The simulation results show that the visual effects, image clarity and image contrast of the remote sensing images are obviously improved; the atmospheric corrected reflectance curve is closer to measured typical objects reflectance curve in the terms of both spectral shape and reflectance value, indicating that the effect of atmosphere have been successfully removed by using the proposed algorithm. Compared with the traditional DOS technique, the IDOS method has greatly higher accuracy and practicality.

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Authors and Affiliations

  1. Beijing Institute of Space Mechanics and Electricity, Beijing, 100094, China

    Yu Wang, Xiaoyong Wang, Hongyan He & Guoliang Tian

  2. Key Laboratory for Advanced Optical Remote Sensing Technology of Beijing, Beijing, 100094, China

    Yu Wang, Xiaoyong Wang, Hongyan He & Guoliang Tian

Authors
  1. Yu Wang
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  2. Xiaoyong Wang
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  3. Hongyan He
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  4. Guoliang Tian
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Corresponding author

Correspondence to Yu Wang .

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Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Yongtian Wang

  2. University of Chinese Academy of Science, Beijing, China

    Qingmin Huang

  3. Institute of Computer Science and Technology, Peking University, Beijing, China

    Yuxin Peng

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© 2019 Springer Nature Singapore Pte Ltd.

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Wang, Y., Wang, X., He, H., Tian, G. (2019). An Improved Dark Object Subtraction Method for Atmospheric Correction of Remote Sensing Images. In: Wang, Y., Huang, Q., Peng, Y. (eds) Image and Graphics Technologies and Applications. IGTA 2019. Communications in Computer and Information Science, vol 1043. Springer, Singapore. https://doi.org/10.1007/978-981-13-9917-6_41

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  • DOI: https://doi.org/10.1007/978-981-13-9917-6_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9916-9

  • Online ISBN: 978-981-13-9917-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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