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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...
Tallennettuna:
| Julkaisussa: | Sensors (Basel) |
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| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7374350/ https://ncbi.nlm.nih.gov/pubmed/32630824 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20133712 |
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