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Deep Learning for Wetland Mapping Denmark by Rizwan Sheikh is a document available to read on EtoBox.

What is Deep Learning for Wetland Mapping Denmark about?

This study benchmarks deep learning models for wetland mapping in Denmark, utilizing remote sensing data to address the significant loss and degradation of wetlands. The research evaluates three models—Fully Convolutional Network, U-Net, and DeepLabV3—using high-resolution multispectral imagery and digital elevation models, with DeepLabV3 showing the best performance. The findings highlight the challenges in accurately classifying wetlands and suggest future directions for improving deep learning methodolog

Author

Rizwan Sheikh

Language

EN