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A Novel Detector Based on Convolution Neural Networks for Multiscale SAR Ship Detection in Complex Background
Convolution neural network (CNN)-based detectors have shown great performance on ship detections of synthetic aperture radar (SAR) images. However, the performance of current models has not been satisfactory enough for detecting multiscale ships and small-size ones in front of complex backgrounds. T...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273208/ https://www.ncbi.nlm.nih.gov/pubmed/32365747 http://dx.doi.org/10.3390/s20092547 |