Corpus ID: 236134123

Learning a Sensor-invariant Embedding of Satellite Data: A Case Study for Lake Ice Monitoring

@article{Tom2021LearningAS,
  title={Learning a Sensor-invariant Embedding of Satellite Data: A Case Study for Lake Ice Monitoring},
  author={Manu Tom and Yuchang Jiang and Emmanuel Baltsavias and Konrad Schindler},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.09092}
}
Fusing satellite imagery acquired with different sensors has been a long-standing challenge of Earth observation, particularly across different modalities such as optical and Synthetic Aperture Radar (SAR) images. Here, we explore the joint analysis of imagery from different sensors in the light of representation learning: we propose to learn a joint, sensor-invariant embedding (feature representation) within a deep neural network. Our application problem is the monitoring of lake ice on Alpine… Expand

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