Cargando…
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...
Autores principales: | Adegun, Adekanmi Adeyinka, Fonou Dombeu, Jean Vincent, Viriri, Serestina, Odindi, John |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
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 |
Ejemplares similares
-
Deep Learning for Brain Tumor Segmentation: A Survey of State-of-the-Art
por: Magadza, Tirivangani, et al.
Publicado: (2021) -
Kidney Tumor Semantic Segmentation Using Deep Learning: A Survey of State-of-the-Art
por: Abdelrahman, Abubaker, et al.
Publicado: (2022) -
mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world
por: Asani, Emmanuel Oluwatobi, et al.
Publicado: (2023) -
Pancreatic Cancer Survival Prediction: A Survey of the State-of-the-Art
por: Bakasa, Wilson, et al.
Publicado: (2021) -
Deep Learning-Based Classification of Spoken English Digits
por: Oruh, Jane, et al.
Publicado: (2022)