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Paper

Automatic Seamline Network Generation for Urban Orthophoto Mosaicking with the Use of a Digital Surface Model

by Independent / Community 0136eb27acace0af14d7457a813b1ceb321e71dd
Free2AITools Nexus Index
68.7
S: Semantic 50

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A: Authority 83
P: Popularity 59
R: Recency 100
Q: Quality 65
Tech Context
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Intelligent seamline selection for image mosaicking is an area of active research in the fields of massive data processing, computer vision, photogrammetry and remote sensing. In mosaicking applications for digital orthophoto maps (DOMs), the visual transition in mosaics is mainly caused by differences in positioning accuracy, image tone and relief displacement of high ground objects between overlapping DOMs. Among these three factors, relief displacement, which prevents the seamless mosaicki...

Semantic Scholar 45 Citations
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Registry ID 0136eb27acace0af14d7457a813b1ceb321e71dd
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BibTeX
@misc{0136eb27acace0af14d7457a813b1ceb321e71dd,
  author = {Unknown},
  title = {Automatic Seamline Network Generation for Urban Orthophoto Mosaicking with the Use of a Digital Surface Model Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/0136eb27acace0af14d7457a813b1ceb321e71dd}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Automatic Seamline Network Generation for Urban Orthophoto Mosaicking with the Use of a Digital Surface Model [Paper]. Free2AITools. https://api.semanticscholar.org/0136eb27acace0af14d7457a813b1ceb321e71dd

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βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 83
Popularity (P) 59
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Automatic Seamline Network Generation for Urban Orthophoto Mosaicking with the Use of a Digital Surface Model: Authority (A:83), Popularity (P:59), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"Intelligent seamline selection for image mosaicking is an area of active research in the fields of massive data processing, computer vision, photogrammetry and remote sensing. In mosaicking applications for digital orthophoto maps (DOMs), the visual transition in mosaics is mainly caused by differences in positioning accuracy, image tone and relief displacement of high ground objects between overlapping DOMs. Among these three factors, relief displacement, which prevents the seamless mosaicki..."

❝ Cite Node

@article{Unknown2026Automatic,
  title={Automatic Seamline Network Generation for Urban Orthophoto Mosaicking with the Use of a Digital Surface Model},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“ˆ45CitationsSemantic Scholar
πŸ›οΈ83AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
πŸ—‚οΈautomation workflowField

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vision modelsimage generation
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ArXiv
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