Improvement of Spatial Localization Accuracy in Learning-Based Patch Matching Using Anisotropic Fractal Brownian Motion Data

Autor: Uss, Mykhail. M., Vozel, Benoit, Lukin, Vladimir V., Chehdi, Kacem

Publikováno v: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2022, Kuala Lumpur, Malaysia. ⟨10.1109/IGARSS46834.2022.9883816⟩

International audience; The exhaustive search of multiple matches in an overlapping area of two multimodal remote sensing images and the accurate localization of found matches are inherent steps to an efficient registration of these two images. A sup

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f20800b689e625ea401a67d5ddd0d959
https://doi.org/10.1109/igarss46834.2022.9883816

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