A Maxout-enhanced robust deep convolutional neural network model for flood mapping using Sentinel-1 SAR data

Key Points

• Improved flood mapping accuracy was achieved through a maxout-enhanced deep convolutional neural network.
• Key evidence showed a significant improvement in mapping precision using Sentinel-1 SAR data compared to traditional methods.
• Analysis focused on image processing techniques, employing robust neural network architecture for flood detection.
• The findings support enhanced remote sensing capabilities, highlighting the importance of robust algorithms in environmental monitoring.