A Review of Research on Dense Matching Algorithms in Digital Surface Model
Digital Surface Models (DSM), critical for 3D surface representation, rely on dense matching algorithms for accuracy and efficiency. This review examines two decades of advancements in feature-based, region-based, and deep learning-driven methods. Feature-based methods such as SIFT and ORB can achie...
Na minha lista:
| Principais autores: | , , , , , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2025-11-01
|
| coleção: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://isprs-archives.copernicus.org/articles/XLVIII-4-W14-2025/429/2025/isprs-archives-XLVIII-4-W14-2025-429-2025.pdf |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|