Computational Intelligence in Remote Sensing Image Registration: A survey

被引:30
作者
Wu, Yue [1 ]
Liu, Jun-Wei [1 ]
Zhu, Chen-Zhuo [1 ]
Bai, Zhuang-Fei [1 ]
Miao, Qi-Guang [1 ]
Ma, Wen-Ping [2 ]
Gong, Mao-Guo [3 ]
机构
[1] Xidian Univ, Sch Comp Sci & Technol, Key Lab Big Data & Intelligent Vis, Xian 710071, Peoples R China
[2] Xidian Univ, Sch Artificial Intelligence, Minist Educ, Key Lab Intelligent Percept & Image Understanding, Xian 710071, Peoples R China
[3] Xidian Univ, Sch Elect Engn, Minist Educ, Key Lab Intelligent Percept & Image Understanding, Xian 710071, Peoples R China
基金
中国国家自然科学基金;
关键词
Computational intelligence; evolutionary computation; neural network; deep learning; remote sensing image registration; PARTICLE SWARM OPTIMIZATION; DIFFERENTIAL EVOLUTION; NEURAL-NETWORK; AUTOMATIC REGISTRATION; SYSTEM OPTIMIZATION; SAMPLE CONSENSUS; ALGORITHM; CLASSIFICATION; FRAMEWORK; SEGMENTATION;
D O I
10.1007/s11633-020-1248-x
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1 / 17
页数:17
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