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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...
Autores principales: | Deng, Cailong, Yuan, Xiuxiao, Deng, Lixia, Chen, Jun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |
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