MARU-Net: Multiscale Attention Gated Residual U-Net With Contrastive Loss for SAR-Optical Image Matching
Accurate synthetic aperture radar-optical matching is essential for combining the complementary information from the two sensors. However, the main challenge is overcoming the different heterogeneous characteristics of the two imaging sensors. In this article, we propose an end-to-end machine learni...
| Prif Awduron: | , , |
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| Fformat: | Erthygl |
| Iaith: | English |
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IEEE
2023-01-01
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| Cyfres: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Pynciau: | |
| Mynediad Ar-lein: | https://ieeexplore.ieee.org/document/10129005/ |