S1S2-Water: A Global Dataset for Semantic Segmentation of Water Bodies From Sentinel- 1 and Sentinel-2 Satellite Images

S1S2-Water: A Global Dataset for Semantic Segmentation of Water Bodies From Sentinel- 1 and Sentinel-2 Satellite Images

This study introduces the <italic>S1S2-Water</italic> dataset&#x2014;a global reference dataset for training, validation, and testing of convolutional neural networks (CNNs) for semantic segmentation of surface water bodies in publicly available Sentinel-1 and Sentinel-2 satellite im...

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Bibliographic Details
Main Authors: Marc Wieland, Florian Fichtner, Sandro Martinis, Sandro Groth, Christian Krullikowski, Simon Plank, Mahdi Motagh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural networks (CNNs)
reference dataset
semantic segmentation
Sentinel-1
Sentinel-2
surface water monitoring
Online Access:https://ieeexplore.ieee.org/document/10321672/

Internet

https://ieeexplore.ieee.org/document/10321672/

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