References
- 1. Gong, M., Z. Zhou, J. Ma. Change Detection in Synthetic Aperture Radar Images Basedon Image Fusion and Fuzzy Clustering. – IEEE Transactions on Image Processing, Vol. 21, 2012, No 4, pp. 2141-2151.10.1109/TIP.2011.217070221984509
- 2. Jakka, T. K., Y. Mallikarjuna Reddy, B. Prabhakara Rao. GWDWT-FCM: Change Detection in SAR Images Using Adaptive Discrete Wavelet Transform with Fuzzy c-Mean Clustering. – Journal of the Indian Society of Remote Sensing, Vol. 47, 2019, No 3, pp. 379-390.10.1007/s12524-018-0901-0
- 3. Kumar, J. T., Y. M. Reddy, B. P. Rao. Image Fusion of Remote Sensing Images Using ADWT with ABC Optimization Algorithm. – International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol. 8, 2019, Issue 11. ISSN: 2278-3075.10.35940/ijitee.K2309.0981119
- 4. Kumar, J. T., Y. M. Reddy, B. P. Rao. Change Detection in Sarimages Based on Artificial Bee Colony Optimization with Fuzzy c-Means Clustering. – International Journal of Recent Technology and Engineering (IJRTE), Vol. 7, 2018, Issue 4. ISSN: 2277-3878.
- 5. Kumar, J. T., Y. Mallikarjuna Reddy, B. Prabhakara Rao. WHDA-FCM: Wolf Hunting-Based Dragonfly with Fuzzy c-Mean Clustering for Change Detection in SAR Images. – The Computer Journal, Section B: Computer and Communications Networks and Systems, Vol. 63, February 2020, Issue 2, pp. 308-321.10.1093/comjnl/bxz130
- 6. Inglada, J., G. Mercier. A New Statistical Similarity Measure for Change Detection in Multitemporal SAR Images and Its Extension to Multiscale Change Analysis. – IEEE Trans. Geosci. Remote Sens., Vol. 45, 2017, No 5, pp. 1432-144510.1109/TGRS.2007.893568
- 7. Singh, A. Digital Change Detection Techniques Using Remotely Sensed Data. – International Remote Sensing, Vol. 10, 1989, No 6, pp. 989-1003.10.1080/01431168908903939
- 8. Rignot, E. J. M., J. J. Van Zyl. Change Detection Techniques for ERS-1 SAR Data. – IEEE Trans. Geosci. Remote Sens., Vol. 31, 1993, No 4, pp. 896-906.10.1109/36.239913
- 9. Mirjalili1, S. Dragonfly Algorithm: A New Meta-Heuristic Optimization Technique for Solving Single-Objective, Discrete, and Multi-Objective Problems. – Neural Comput&Applic, Vol. 27, 2016, pp. 1053-1073.10.1007/s00521-015-1920-1
- 10. SreeRanjini, K. S., S. Murugan. Memory-Based Hybrid Dragonfly Algorithm for Numerical Optimization Problems. – Expert Systems with Applications, Vol. 83, 2017, pp. 63-78.10.1016/j.eswa.2017.04.033
- 11. Çigdeminan, A., H. Gulkan. A Modified Dragonfly Optimization Algorithm for Single- and Multiobjective Problems Using Brownian Motion. – Hindawi Computational Intelligence and Neuroscience, 2019. Article ID 6871298. 17 p.10.1155/2019/6871298658931031281336
- 12. Vrionis, T. D., X. I. Koutiva, N. A. Vovos. A Genetic Algorithm-Based Low Voltage Ride-Through Control Strategy for Grid Connected Doubly Fed Induction Wind Generators. – IEEE Transactions on Power Systems, Vol. 29, 2014, No 3, pp. 1325-1334.10.1109/TPWRS.2013.2290622
- 13. Hui, Z., Y. Fei. A Novel Fuzzy Clustering Recommendation Algorithm Based on PSO. – Cybernetics and Information Technologies, Vol. 14, 2014, No 1, pp. 108-117.10.2478/cait-2014-0048
- 14. Zhang, J., P. Xia. An Optimized Scheduling Algorithm on a Cloud Workflow Using a Discrete Particle Swarm. –Cybernetics and Information Technologies, Vol. 14, 2014, No 1, pp. 25-39.10.2478/cait-2014-0003
- 15. Yan, W., S. Shi, L. Pan, G. Zhang. Unsupervised Change Detection in SAR Images Based on Frequency Difference and a Modified Fuzzy c-Means Clustering. – International Journal of Remote Sensing, Vol. 39, 2018, No 10, pp. 3055-3075.10.1080/01431161.2018.1434325
- 16. Qiu, F., J. Berglund, J. R. Jensen, P. Thakkar, D. Ren. Speckle Noise Reduction in SAR Imagery Using a Local Adaptive Median Filter. –GIScience and Remote Sensing, Vol. 3, 2004, pp. 244-266.10.2747/1548-1603.41.3.244
- 17. Zhuang, H., Z. Tan, K. Deng, H. Fan. It is a Misunderstanding that Log-Ratio Outperforms Ratio in Change Detection of SAR Images. – European Journal of Remote Sensing, Vol. 52, 2019, No 1, pp. 484-492.10.1080/22797254.2019.1653226
- 18. Vijaya Geetha, R., S. Kalaivani. Laplacian Pyramid-Based Change Detection in Multitemporal SAR Images. – European Journal of Remote Sensing, Vol. 5, 2019.10.1080/22797254.2019.1640077
- 19. Liu, T., C. Q. Guo, Y. Yuan, W. Li, Q. Yan. An Improved Ant Lion Optimization Algorithm and Its Application in Hydraulic Turbine Governing System Parameter Identification. – Energies, Vol. 11, 2018, pp. 1-15.10.3390/en11010095
- 20. Vrionis, T., X. Koutiva, Nicholas. A Genetic Algorithm-Based Low Voltage Ride-Through Control Strategy for Grid Connected Doubly Fed Induction Wind Generators. – IEEE Transactions on Power Systems, 2014, Vol. 29, No 3, pp. 1325-1334.10.1109/TPWRS.2013.2290622
- 21. Mirjalili, S. The Ant Lion Optimizer. – Adv. Eng. Software, Vol. 83, 2015, pp. 80-98.10.1016/j.advengsoft.2015.01.010
- 22. Zhao, M., Q. Ling, F. Li. An Iterative Feedback-Based Change Detection Algorithm for Flood Mapping in SAR Images. – IEEE Geoscience and Remote Sensing Letters, Vol. 16, February 2019, No 2, pp. 231-235.10.1109/LGRS.2018.2871849
- 23. Li, H., Q. Zhao, G. Yang, K. Fu, W. J. Emery. Robust Semi-NMF with Total Variation for Unsupervised SAR Image Change Detection. – Electronics Letters, Vol. 54, 12.07.2018, No 14, pp. 892-894.
- 24. Lazarov, A., C. Minchev. ISAR Image Recognition Algorithm and Neural Network Implementation. – Cybernetics and Information Technologies, Vol. 17, 2017, No 4, pp. 183-199.10.1515/cait-2017-0048
- 25. Hou, B., Q. Wei, Y. Zheng, S. Wang. Unsupervised Change Detection in SAR Image Based on Gauss-Log Ratio Image Fusion and Compressed Projection. – IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, August 2014, No 8, pp. 3297-3317.10.1109/JSTARS.2014.2328344
- 26. Zheng, Y., X. Zhang, B. Hou, G. Liu. Using Combined Difference Image and $k$-Means Clustering for SAR Image Change Detection. – IEEE Geoscience and Remote Sensing Letters, Vol. 11, March 2014, No 3, pp. 691-695.10.1109/LGRS.2013.2275738
- 27. Zhang, X., J. Chen, H. Meng. A Novel SAR Image Change Detection Based on Graph-Cut and Generalized Gaussian Model. – IEEE Geoscience and Remote Sensing Letters, Vol. 10, January 2013, No 1, pp. 14-18.10.1109/LGRS.2012.2189867
- 28. Gong, M., Z. Zhou, J. Ma. Change Detection in Synthetic Aperture Radar Images Based on Image Fusion and Fuzzy Clustering. – IEEE Transactions on Image Processing, Vol. 21, April 2012, No 4, pp. 2141-2151.10.1109/TIP.2011.217070221984509
- 29. Moser, G., S. B. Serpico. Unsupervised Change Detection From Multichannel SAR Data by Markovian Data Fusion. – IEEE Transactions on Geoscience and Remote Sensing, Vol. 47, July 2009, No 7, pp. 2114-2128.10.1109/TGRS.2009.2012407