Hyperspectral Image Super Resolution Using Anomaly Weighted Gabor Based CNN
Ali Farajzadeh,
Maryam Imani,
Shahram Mohammadi
Abstract:Hyperspectral images have high spectral resolution. But, due to the tradeoff between spectral and spatial resolution and various hardware constraints, imaging a hyperspectral image with high spatial resolution is not practical. Hyperspectral super resolution is a soft approach to solve this challenge. Recently, deep learning based methods such as convolutional neural network (CNN) show great success in this field. But, the contextual details in object boundaries and anomalies present in the scene are not well … Show more
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