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Change detection in synthetic aperture radar images using spatial fuzzy clustering based on the similarity matrix Cover

Change detection in synthetic aperture radar images using spatial fuzzy clustering based on the similarity matrix

International Journal on Smart Sensing and Intelligent Systems
Volume 18 (2025): Issue 1 (January 2025)
By: Tushar Zanke,  Stuti Jagtap,  Samrudhi Wath,  Snehashish Mulgir and  Archana Chaudhari  
Open Access
|Jul 2025

Authors

Tushar Zanke

Department of Instrumentation Engineering, Vishwakarma Institute of Technology, Pune, India

Stuti Jagtap

Department of Instrumentation Engineering, Vishwakarma Institute of Technology, Pune, India

Samrudhi Wath

Department of Instrumentation Engineering, Vishwakarma Institute of Technology, Pune, India

Snehashish Mulgir

Department of Instrumentation Engineering, Vishwakarma Institute of Technology, Pune, India

Archana Chaudhari

archana.kchaudhari@gmail.com

Department of Instrumentation Engineering, Vishwakarma Institute of Technology, Pune, India
DOI: https://doi.org/10.2478/ijssis-2025-0026 | Journal eISSN: 1178-5608
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Language: English
Submitted on: Mar 7, 2025
|
Published on: Jul 19, 2025
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Deep Learning,
Synthetic Aperture Radar,
Convolutional Neural Networks,
Pattern Recognition,
Noise Robustness,
SAR Imaging Applications
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2025 Tushar Zanke, Stuti Jagtap, Samrudhi Wath, Snehashish Mulgir, Archana Chaudhari, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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