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Found 3 papers, 3 papers with code
Facing the Void: Overcoming Missing Data in Multi-View Imagery
In some scenarios, a single input image may not be enough to allow the object classification.
ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation
This is especially true for remote sensing applications that not only work with extremely high spatial resolution data but also commonly require the knowledge of experts of the area to perform the manual labeling.
An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation
High-resolution images for remote sensing applications are often not affordable or accessible, especially when in need of a wide temporal span of recordings.
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