Yue Wu, Jun-Wei Liu, Chen-Zhuo Zhu, Zhuang-Fei Bai, Qi-Guang Miao, Wen-Ping Ma, Mao-Guo Gong. Computational Intelligence in Remote Sensing Image Registration: A survey. International Journal of Automation and Computing, vol. 18, no. 1, pp.1-17, 2021. https://doi.org/10.1007/s11633-020-1248-x
Citation: Yue Wu, Jun-Wei Liu, Chen-Zhuo Zhu, Zhuang-Fei Bai, Qi-Guang Miao, Wen-Ping Ma, Mao-Guo Gong.

Computational Intelligence in Remote Sensing Image Registration: A survey

. International Journal of Automation and Computing, vol. 18, no. 1, pp.1-17, 2021. https://doi.org/10.1007/s11633-020-1248-x

Computational Intelligence in Remote Sensing Image Registration: A survey

doi: 10.1007/s11633-020-1248-x
More Information
  • Author Bio:

    Yue Wu received the B. Eng. degree in circuits and systems and Ph. D. degree in control science and engineering from Xidian University, China in 2011 and 2016, respectively. Since 2016, he has been a teacher with Xidian University. He is currently an associate professor with Xidian University. He has authored or co-authored more than 40 papers in refereed journals and proceedings. His research interests include computer vision and computational intelligence. E-mail: ywu@xidian.edu.cnORCID iD: 0000-0002-3459-5079

    Jun-Wei Liu is a master student in Key Laboratory of Big Data and Intelligent Vision, School of Computer Science and Technology, Xidian University, China. His research interests include evolutionary computing and image registration. E-mail: jwliu_2@stu.xidian.edu.cn

    Chen-Zhuo Zhu is a master student in Key Laboratory of Big Data and Intelligent Vision, School of Computer Science and Technology, Xidian University, China. His research interests include deep learning and image registration. E-mail: chenzhuozhu@xidian.edu.cn

    Zhuang-Fei Bai is a master student in Key Laboratory of Big Data and Intelligent Vision, School of Computer Science and Technology, Xidian University, China. His research interests include computer vision and remote sensing image understanding. E-mail: zfbai@stu.xidian.edu.cn

    Qi-Guang Miao received the M. Eng. degree in computer science from Xidian University, China in 1996, received the Ph. D. degree in computer science from Xidian University, China in 2005. He is currently a professor with the School of Computer Science and Technology, Xidian University, China. His research interests include intelligent image processing and multiscale geometric representations for images. E-mail: qgmiao@xidian.edu.cn

    Wen-Ping Ma received the B. Sc. degree in computer science and technology and the Ph. D. degree in pattern recognition and intelligent systems from Xidian University, China in 2003 and 2008, respectively. Since 2006, she has been with the Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, Xidian University, where she is currently an associate professor. She has published more than 30 SCI papers in international academic journals, including the IEEE Transactions on Evolutionary Computation, IEEE Transactions on Image Processing, Information Sciences, Pattern Recognition, Applied Soft Computing, Knowledge-based Systems, Physica A − Statistical Mechanics and its Applications, and IEEE Geoscience and Remote Sensing Letters. She is a member of the Chinese Institute of Electronics and the China Computer Federation. Her research interests include natural computing and intelligent image processing. E-mail: wpma@mail.xidian.edu.cn

    Mao-Guo Gong received the B. Sc. degree in electronic engineering and the Ph. D. degree in electronic science and technology from Xidian University, China in 2003 and 2009, respectively. Since 2006, he has been a teacher with Xidian University. In 2008 and 2010, he was promoted as an associate professor and as a full professor, respectively, both with exceptive admission. He is an executive committee member of the Chinese Association for Artificial Intelligence and a senior member of the Chinese Computer Federation. He received the prestigious National Program for the support of Top-Notch Young Professionals from the Central Organization Department of China, the Excellent Young Scientist Foundation from the National Natural Science Foundation of China, and the New Century Excellent Talent in University from the Ministry of Education of China. He is currently the vice-chair of the IEEE Computational Intelligence Society Task Force on Memetic Computing. His research interests include computational intelligence with applications to optimization, learning, data mining, and image understanding. E-mail: gong@ieee.org (Corresponding author)ORCID iD: 0000-0002-0415-8556

  • Received Date: 2020-06-15
  • Accepted Date: 2020-08-14
  • Publish Online: 2020-12-29
  • Publish Date: 2021-02-18
  • In recent years, computational intelligence has been widely used in many fields and achieved remarkable performance. Evolutionary computing and deep learning are important branches of computational intelligence. Many methods based on evolutionary computation and deep learning have achieved good performance in remote sensing image registration. This paper introduces the application of computational intelligence in remote sensing image registration from the two directions of evolutionary computing and deep learning. In the part of remote sensing image registration based on evolutionary calculation, the principles of evolutionary algorithms and swarm intelligence algorithms are elaborated and their application in remote sensing image registration is discussed. The application of deep learning in remote sensing image registration is also discussed. At the same time, the development status and future of remote sensing image registration are summarized and their prospects are examined.

     

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