A Cognitive Sample Consensus Method for the Stitching of Drone-Based Aerial Images Supported by a Generative Adversarial Network for False Positive Reduction

When using drone-based aerial images for panoramic image generation, the unstableness of the shooting angle often deteriorates the quality of the resulting image. To prevent these polluting effects from affecting the stitching process, this study proposes deep learning-based outlier rejection scheme...

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Detalles Bibliográficos
Autor principal: Seo, Jeong-Kweon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002371/
https://www.ncbi.nlm.nih.gov/pubmed/35408091
http://dx.doi.org/10.3390/s22072474

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002371/
https://www.ncbi.nlm.nih.gov/pubmed/35408091
http://dx.doi.org/10.3390/s22072474

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