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Debiased Learning for Remote Sensing Data
Deep learning has had remarkable success at analyzing handheld imagery such as consumer photos due to the availability of large-scale human annotations (e. g., ImageNet).
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models
Multi-spectral imagery is invaluable for remote sensing due to different spectral signatures exhibited by materials that often appear identical in greyscale and RGB imagery.
Unsupervised Feature Learning in Remote Sensing
The need for labeled data is among the most common and well-known practical obstacles to deploying deep learning algorithms to solve real-world problems.
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