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Image-Based Air Quality Estimation

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Pattern Recognition and Computer Vision (PRCV 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11859))

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Abstract

In this paper, we attempt to estimate the outdoor air quality only using images. To address this problem, we mainly collect an available database of high quality outdoor images. We hope this database will encourage further research on image based air quality estimation. Moreover, we perform comprehensive experiments based on this database. We use different hand-crafted features to analyze the appearance variances of outdoor images in different air quality conditions. Results show that the accuracy of meteorological features is much better than that of traditional hand-crafted features. Moreover, in meteorological features, the extinction coefficient indicating the degree of light intensity attenuated by particles performs best with the accuracy of 64.

Qin Li is a student.

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Acknowledgement

This work was supported by the National Natural Science Foundation of China (No. 61602520). We also gratefully acknowledge the valuable cooperation of Zou Yi.

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Authors and Affiliations

  1. Central South University, Changsha, Hunan, China

    Qin Li & Bin Xie

Authors
  1. Qin Li
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  2. Bin Xie
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Corresponding author

Correspondence to Bin Xie .

Editor information

Editors and Affiliations

  1. School of EECS, Peking University, Beijing, China

    Zhouchen Lin

  2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Liang Wang

  3. Nanjing University of Science and Technology, Nanjing, China

    Jian Yang

  4. Xidian University, Xi’an, China

    Guangming Shi

  5. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  6. Institute of Artificial Intelligence, Xi’an Jiaotong University, Xi’an, China

    Nanning Zheng

  7. Chinese Academy of Sciences, Beijing, China

    Xilin Chen

  8. Northwestern Polytechnical University, Xi’an, China

    Yanning Zhang

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Li, Q., Xie, B. (2019). Image-Based Air Quality Estimation. In: Lin, Z., et al. Pattern Recognition and Computer Vision. PRCV 2019. Lecture Notes in Computer Science(), vol 11859. Springer, Cham. https://doi.org/10.1007/978-3-030-31726-3_14

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  • DOI: https://doi.org/10.1007/978-3-030-31726-3_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31725-6

  • Online ISBN: 978-3-030-31726-3

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