Swarm based Image Fusion Technique for Change Detection using Remote Sensing Images

Authors

  • Ashok Kumar Panda Dept. of CSE, College of Engineering, Bhubaneswar-751024
  • Chinmayee Pati Dept. of IT, Odisha University of Technology & Research

Keywords:

remote sensing, grey wolf optimization, image fusion, change detection, optimizations

Abstract

In satellite monitoring, change detection may be crucial. Change detection is regarded as a challenging job in the realm of satellite applications due to the availability of satellite photos of a given geographic region acquired at various times. This study suggests a novel image fusion method based on optimization for spotting changes in satellite photos. Tests are run on two satellite photos taken in two separate time instances on a specific geographic region to show the effectiveness of the technique. The effectiveness is verified using change detection accuracy. Results are superior to those of currently used techniques.

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References

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Published

24.11.2023

How to Cite

Panda, A. K., & Pati, C. (2023). Swarm based Image Fusion Technique for Change Detection using Remote Sensing Images. International Journal of Intelligent Systems and Applications in Engineering, 12(5s), 33–36. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3818

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Research Article

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