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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |