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Comput."],"published-print":{"date-parts":[[2021,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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.<\/jats:p>","DOI":"10.1007\/s11633-020-1248-x","type":"journal-article","created":{"date-parts":[[2020,12,29]],"date-time":"2020-12-29T01:02:46Z","timestamp":1609203766000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Computational Intelligence in Remote Sensing Image Registration: A survey"],"prefix":"10.1007","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3459-5079","authenticated-orcid":false,"given":"Yue","family":"Wu","sequence":"first","affiliation":[]},{"given":"Jun-Wei","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Chen-Zhuo","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Zhuang-Fei","family":"Bai","sequence":"additional","affiliation":[]},{"given":"Qi-Guang","family":"Miao","sequence":"additional","affiliation":[]},{"given":"Wen-Ping","family":"Ma","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0415-8556","authenticated-orcid":false,"given":"Mao-Guo","family":"Gong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,12,29]]},"reference":[{"key":"1248_CR1","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.inffus.2016.03.003","volume":"32","author":"H Ghassemian","year":"2016","unstructured":"H. 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