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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.
Conditional Generative Adversarial Networks for Data Augmentation and Adaptation in Remotely Sensed Imagery
Run sequentially, these GANs allow the generation of synthetic remote sensing imagery complete with segmentation labels.
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