Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery

Too often, the testing and evaluation of object detection, as well as the classification techniques for high-resolution remote sensing imagery, are confined to clean, discretely partitioned datasets, i.e., the closed-world model. In recent years, the performance on a number of benchmark datasets has...

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Detalles Bibliográficos
Autores principales: Hurt, J. Alex, Popescu, Ilinca, Davis, Curt H., Scott, Grant J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537164/
https://www.ncbi.nlm.nih.gov/pubmed/37765824
http://dx.doi.org/10.3390/s23187766

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537164/
https://www.ncbi.nlm.nih.gov/pubmed/37765824
http://dx.doi.org/10.3390/s23187766

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