Detecting Matching Blunders of Multi-Source Remote Sensing Images via Graph Theory

Large radiometric and geometric distortion in multi-source images leads to fewer matching points with high matching blunder ratios, and global geometric relationship models between multi-sensor images are inexplicit. Thus, traditional matching blunder detection methods cannot work effectively. To ad...

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Detalles Bibliográficos
Autores principales: Deng, Cailong, Yuan, Xiuxiao, Deng, Lixia, Chen, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374350/
https://www.ncbi.nlm.nih.gov/pubmed/32630824
http://dx.doi.org/10.3390/s20133712

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374350/
https://www.ncbi.nlm.nih.gov/pubmed/32630824
http://dx.doi.org/10.3390/s20133712

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