Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network

Exhaustive Search of Correspondences between Multimodal Remote Sensing Images Using Convolutional Neural Network

Finding putative correspondences between a pair of images is an important prerequisite for image registration. In complex cases such as multimodal registration, a true match could be less plausible than a false match within a search zone. Under these conditions, it is important to detect all plausib...

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Bibliographic Details
Main Authors: Mykhail Uss, Benoit Vozel, Vladimir Lukin, Kacem Chehdi
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
similarity measure
multimodal images
exhaustive search
deep learning
multiple correspondences
Online Access:https://www.mdpi.com/1424-8220/22/3/1231

Internet

https://www.mdpi.com/1424-8220/22/3/1231

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