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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Detalles Bibliográficos
Autores principales: Uss, Mykhail, Vozel, Benoit, Lukin, Vladimir, Chehdi, Kacem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838932/
https://www.ncbi.nlm.nih.gov/pubmed/35161976
http://dx.doi.org/10.3390/s22031231

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838932/
https://www.ncbi.nlm.nih.gov/pubmed/35161976
http://dx.doi.org/10.3390/s22031231

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