Optimizing Satellite Image Analysis: Leveraging Variational Autoencoders Latent Representations for Direct Integration
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3520879
Abstract: Variational autoencoders (VAEs) have emerged as powerful tools for data compression and representation learning. In this study, we explore the application of VAE-based neural compression models for compressing satellite images and leveraging the latent space… read more here.
Keywords: image; neural compression; latent representations; analysis ... See more keywords
Neural compression for hologram images and videos.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.472962
Abstract: Holographic near-eye displays can deliver high-quality three-dimensional (3D) imagery with focus cues. However, the content resolution required to simultaneously support a wide field of view and a sufficiently large eyebox is enormous. The consequent data… read more here.
Keywords: neural compression; images videos; compression hologram; hologram images ... See more keywords