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Integration of fuzzy theory and particle swarm optimization for high-resolution satellite scene recognition

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Abstract

With the rapid development of satellite imaging technology, large amounts of satellite images with high spatial resolutions are now available. High-resolution satellite imagery provides rich texture and structure information, which in the meantime poses a great challenge for automatic satellite scene recognition. In this study, a novel integration method of fuzzy theory and particle swarm optimization (IFTPSO) is proposed to achieve an increased accuracy of satellite scene recognition (SSR) in high-resolution satellite imagery. The particle encoding, fitness function and swarm search strategy are designed for IFTPSO-SSR. The IFTPSO-SSR method was evaluated using the satellite scenes from QuickBird, IKONOS and ZY-3. IFTPSO-SSR outperformed three traditional recognition methods with the highest recognition accuracy. The parameter sensitivity of IFTPSO-SSR was also discussed. The proposed method of this study can enhance the performance of satellite scene recognition in high-resolution satellite imagery, and thereby advance the research and applications of artificial intelligence and satellite image analysis.

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Acknowledgements

This research was supported by the National Natural Science Foundation of China (Grant No. 41371343). The authors would like to thank Susan Cuddy at CSIRO for her helpful comments and suggestions.

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Authors and Affiliations

  1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China

    Linyi Li

  2. CSIRO Land and Water, Canberra, 2601, Australia

    Yun Chen

  3. Fenner School of Environment and Society, The Australian National University, Canberra, 2601, Australia

    Tingbao Xu

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  1. Linyi Li
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  2. Yun Chen
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Correspondence to Linyi Li.

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Li, L., Chen, Y. & Xu, T. Integration of fuzzy theory and particle swarm optimization for high-resolution satellite scene recognition. Prog Artif Intell 7, 147–154 (2018). https://doi.org/10.1007/s13748-017-0139-z

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