Automatic registration of urban high-resolution remote sensing images based on characteristic spatial objects

Automatic registration of high-resolution remote sensing images (HRRSIs) has always been a severe challenge due to the local deformation caused by different shooting angles and illumination conditions. A new method of characteristic spatial objects (CSOs) extraction and matching is proposed to deal...

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Detalles Bibliográficos
Autores principales: Chen, Jun, Yu, Zhengyang, Yang, Cunjian, Yang, Kangquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402588/
https://www.ncbi.nlm.nih.gov/pubmed/36002609
http://dx.doi.org/10.1038/s41598-022-15119-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9402588/
https://www.ncbi.nlm.nih.gov/pubmed/36002609
http://dx.doi.org/10.1038/s41598-022-15119-4

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