State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images

Introduction: Object detection in remotely sensed satellite images is critical to socio-economic, bio-physical, and environmental monitoring, necessary for the prevention of natural disasters such as flooding and fires, socio-economic service delivery, and general urban and rural planning and manage...

Descripción completa

Detalles Bibliográficos
Autores principales: Adegun, Adekanmi Adeyinka, Fonou Dombeu, Jean Vincent, Viriri, Serestina, Odindi, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347255/
https://www.ncbi.nlm.nih.gov/pubmed/37447699
http://dx.doi.org/10.3390/s23135849

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347255/
https://www.ncbi.nlm.nih.gov/pubmed/37447699
http://dx.doi.org/10.3390/s23135849

Ejemplares similares