Adopting deep learning methods for airborne RGB fluvial scene classification

Earth & Environmental Sciences

• learning 89%
• river 53%
• supervised classification 47%
• pixel 32%
• train 25%
• method 24%
• supervised learning 18%
• machine learning 13%
• savings 13%
• labor 13%
• land cover 11%
• ecosystem 8%
• world 7%

Agriculture & Biology

• learning 100%
• rivers 86%
• methodology 29%
• neural networks 29%
• image interpretation 22%
• land cover 17%
• artificial intelligence 16%
• labor 12%
• ecosystems 10%