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Found 3 papers, 2 papers with code
HRPlanes: High Resolution Airplane Dataset for Deep Learning
Moreover, proposed architectures and results of this study could be used for transfer learning of different datasets and models for airplane detection.
A Multi-Task Deep Learning Framework for Building Footprint Segmentation
The task of building footprint segmentation has been well-studied in the context of remote sensing (RS) as it provides valuable information in many aspects, however, difficulties brought by the nature of RS images such as variations in the spatial arrangements and in-consistent constructional patterns require studying further, since it often causes poorly classified segmentation maps.
Rethinking CNN-Based Pansharpening: Guided Colorization of Panchromatic Images via GANs
Convolutional Neural Networks (CNN)-based approaches have shown promising results in pansharpening of satellite images in recent years.
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