Image Processing Techniques for Enhancing Satellite Imagery in Disaster Management

Authors

  • Amanda Putri Universitas Sebelas Maret (UNS)
  • Budi Hartono Universitas Sebelas Maret (UNS)
  • Nike Ayu Universitas Sebelas Maret (UNS)

DOI:

https://doi.org/10.62951/ijcts.v1i1.60

Keywords:

Image processing, satellite imagery, disaster management, deep learning, image segmentation

Abstract

This study examines advanced image processing techniques to improve satellite imagery for use in disaster management and recovery efforts. Through methods like deep learning-based image segmentation and noise reduction, we enhance image clarity and detail, allowing for better decision-making in emergency response. The results indicate a significant improvement in identifying affected areas, aiding faster and more accurate response.

References

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Published

2024-01-30

How to Cite

Amanda Putri, Budi Hartono, & Nike Ayu. (2024). Image Processing Techniques for Enhancing Satellite Imagery in Disaster Management. International Journal of Computer Technology and Science, 1(1), 14–17. https://doi.org/10.62951/ijcts.v1i1.60

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