Dataset for Land/Water Semantic Segmentation in Tonga and other Pacific regions
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下载链接：
https://data.mendeley.com/datasets/mfc95sgrbf
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资源简介：
Dataset for training CNN models (e.g. U-Net) for land/water semantic segmentation of Sentinel-2 images.
Features 424 Sentinel-2 TOA images of size 256x256 pixels, with corresponding targets (binary segmentation maps).
The channels included are Sentinel-2 bands B2, B3, B4, B5, B6, B7, B8, B8A, B11, B12, plus NDWI and NDVI (in this order).
Weight maps are included for training using a weighted loss function, in order to improve segmentation on important features, specifically small volcanic islands.
The weights of the pre-trained models used for our research are included as .keras files.
Code snippets include essential functionality to load the models, and pre-process Earth Engine images for input.
创建时间：
2025-05-07
