Details

Title

Performance of Unsupervised Change Detection Method Based on PSO and K-means Clustering for SAR Images

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2021

Volume

vol. 67

Issue

No 3

Affiliation

Shehab, Jinan N. : University of Diyala, College of Engineering, Dept. of Communication Engineering, Iraq ; Abdulkadhim, Hussein A. : University of Diyala, College of Engineering, Dept. of Communication Engineering, Iraq

Authors

Keywords

change detection ; k-means clustering ; multitemporal satellite images ; PSO ; Gabor wavelet filter ; remote sensing

Divisions of PAS

Nauki Techniczne

Coverage

403-408

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Bibliography


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[3] Xinzheng Zhang, Guo Liu, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xin Jian, Xichuan Zhou and Yongming Li, " Two-Phase Object-Based Deep Learning for Multi-Temporal SAR Image Change Detection", Remote Sensing. 2020.
[4] Karpenko A.P., Seliverstov E.Yu. Review of the particle swarm optimization method (PSO) for a global optimization problem. Nauka i obrazovanie. MGTU im. N.E. Baumana [Science and Education of the Bauman MSTU], 2009, no. 3 (in Russ.). https://doi.org/10.7463/00309.0116072.
[5] Xinzheng Zhang, Hang Su, Ce Zhang, Peter M. Atkinson, Xiaoheng Tan, Xiaoping Zeng and Xin Jian." A Robust Imbalanced SAR Image Change Detection Approach Based on Deep Difference Image and PCANet", arXiv.org > cs > arXiv:2003.01768, 2020
[6] Feng Gao, Xiao Wang, Junyu Dong, Shengke Wang, " SAR Image Change Detection Based on Frequency Domain Analysis and Random Multi-Graphs", Journal of Applied Remote Sensing, 2017
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Date

2021.09.23

Type

Article

Identifier

DOI: 10.24425/ijet.2021.137826
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