A survey on the applications of convolutional neural networks for synthetic aperture radar: recent advances

Physics & Astronomy

• synthetic aperture radar 100%
• radar data 73%
• land use 38%
• change detection 38%
• target recognition 36%
• learning 25%
• augmentation 14%

Engineering & Materials Science

• Synthetic aperture radar 76%
• Convolutional neural networks 63%
• Automatic target recognition 31%
• Land use 28%
• Transfer learning 27%
• Image denoising 27%
• Object detection 24%

Earth & Environmental Sciences

• synthetic aperture radar 56%
• detection 27%
• segmentation 20%
• data analysis 19%
• learning 19%
• land cover 18%
• land use 15%
• analysis 6%