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Application of Deep Learning Methods for Forest Fire Intelligent Image Processing

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Advances in Information and Communication Technology (ICTA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 847))

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Abstract

There are many challenges for a Deep Learning application project. Many problems need to be solved in an optimal way to improve the performance of the system. We can focus on a specific step or on the whole process. The aim of the work is to show a new way of using convolutional neural networks is proposed to image intelligent process. Due to the influence of climate change, natural disasters are becoming more complicated and have serious consequences. In particular, the phenomenon of forest fires is affected by factors such as humidity, temperature and vegetation characteristics, etc., so the detection and prediction of forest fires face many challenges. In this study, we focus on using image processing techniques and visual algorithms to preprocess data and filter noise, in order to create a complete database for training and testing model. Natural elements are also used in combination with object features (forest fire images) to build feature vectors. This study will allow to develop the technology and open up new opportunities for its subsequent application.

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Author information

Authors and Affiliations

  1. Department of Informatics, Institute of Cybersecurity and Digital Technologies, MIREA – Russian Technological University, 119454, Moscow, Russia

    Nguyen The Long, Nguyen Thu Huong & Shmeleva Anna. G.

  2. Laboratory of Artificial Intelligence and Machine Learning, Institute of Information Technology and Data Science, Irkutsk National Research Technical University, 664074, Irkutsk, Russia

    Nguyen Thu Huong

  3. University of Information and Communication Technology, Thai Nguyen University, 70000, Thai Nguyen, Vietnam

    Nguyen Thu Huong & Pham Thi Lien

Authors
  1. Nguyen The Long
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  2. Nguyen Thu Huong
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  3. Shmeleva Anna. G.
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  4. Pham Thi Lien
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Corresponding author

Correspondence to Nguyen The Long .

Editor information

Editors and Affiliations

  1. Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Vietnam

    Phung Trung Nghia

  2. Thai Nguyen University of Information and Communication Technology, Thai Nguyen, Vietnam

    Vu Duc Thai

  3. VNU University of Engineering and Technology, Vietnam National University, Ha Noi, Vietnam

    Nguyen Thanh Thuy

  4. Information Technology Institute, Vietnam National University, Ha Noi, Vietnam

    Le Hoang Son

  5. Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Van-Nam Huynh

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Long, N.T., Huong, N.T., G., S.A., Lien, P.T. (2023). Application of Deep Learning Methods for Forest Fire Intelligent Image Processing. In: Nghia, P.T., Thai, V.D., Thuy, N.T., Son, L.H., Huynh, VN. (eds) Advances in Information and Communication Technology. ICTA 2023. Lecture Notes in Networks and Systems, vol 847. Springer, Cham. https://doi.org/10.1007/978-3-031-49529-8_14

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