Cargando…
Research on Airplane and Ship Detection of Aerial Remote Sensing Images Based on Convolutional Neural Network
The wide range, complex background, and small target size of aerial remote sensing images results in the low detection accuracy of remote sensing target detection algorithms. Traditional detection algorithms have low accuracy and slow speed, making it difficult to achieve the precise positioning of...
Autores principales: | Cao, Changqing, Wu, Jin, Zeng, Xiaodong, Feng, Zhejun, Wang, Ting, Yan, Xu, Wu, Zengyan, Wu, Qifan, Huang, Ziqiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506685/ https://www.ncbi.nlm.nih.gov/pubmed/32825315 http://dx.doi.org/10.3390/s20174696 |
Ejemplares similares
-
Improved Mask R-CNN for Aircraft Detection in Remote Sensing Images
por: Wu, Qifan, et al.
Publicado: (2021) -
Rapid Airplane Detection in Remote Sensing Images Based on Multilayer Feature Fusion in Fully Convolutional Neural Networks
por: Xu, Yuelei, et al.
Publicado: (2018) -
Application of DBN and GWO-SVM in analog circuit fault diagnosis
por: Su, Xiyuan, et al.
Publicado: (2021) -
Application of convolutional neural network in fusion and classification of multi-source remote sensing data
por: Ye, Fanghong, et al.
Publicado: (2022) -
Aerodynamics of the airplane
por: Millikan, Clark B.
Publicado: (1941)