Deep-Learning-Based Approach in Imaging Radiometry by Aperture Synthesis: Application to Real SMOS Data
A novel image reconstruction algorithm for aperture synthesis measurements using deep learning techniques was introduced recently. This algorithm is specifically designed to retrieve brightness temperature (BT) from interferometric data, similar to those collected by the European Space Agency's...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10943169/ |
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