4 papers
HyVIC: A Metric-Driven Spatio-Spectral Hyperspectral Image Compression Architecture Based on Variational Autoencoders
Martin Hermann Paul Fuchs, Behnood Rasti, Begüm Demir +1
The rapid growth of hyperspectral data archives in remote sensing (RS) necessitates effective compression methods for storage and transmission. Recent advances in learning-based hy…
Adjustable Spatio-Spectral Hyperspectral Image Compression Network
Martin Hermann Paul Fuchs, Behnood Rasti, Begüm Demir
With the rapid growth of hyperspectral data archives in remote sensing (RS), the need for efficient storage has become essential, driving significant attention toward learning-base…
HyCoT: A Transformer-Based Autoencoder for Hyperspectral Image Compression
Martin Hermann Paul Fuchs, Behnood Rasti, Begüm Demir
The development of learning-based hyperspectral image (HSI) compression models has recently attracted significant interest. Existing models predominantly utilize convolutional filt…
Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images
Martin Hermann Paul Fuchs, Akshara Preethy Byju, Alisa Walda +2
The development of deep learning-based models for the compression of hyperspectral images (HSIs) has recently attracted great attention in remote sensing due to the sharp growing o…