4 papers · 1 filter
Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
Daniel Kovac, Jan Mucha, Jon Alvarez Justo +7
This article explores the latest Convolutional Neural Networks (CNNs) for cloud detection aboard hyperspectral satellites. The performance of the latest 1D CNN (1D-Justo-LiuNet) an…
Study of the gOMP Algorithm for Recovery of Compressed Sensed Hyperspectral Images
Jon Alvarez Justo, Milica Orlandic
Hyperspectral Imaging (HSI) is used in a wide range of applications such as remote sensing, yet the transmission of the HS images by communication data links becomes challenging du…
A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction
Jon Alvarez Justo, Daniela Lupu, Milica Orlandic +2
Hyperspectral Imaging comprises excessive data consequently leading to significant challenges for data processing, storage and transmission. Compressive Sensing has been used in th…
An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the HYPSO-1 Satellite
Jon A. Justo, Joseph Garrett, Dennis D. Langer +3
Hyperspectral Imaging, employed in satellites for space remote sensing, like HYPSO-1, faces constraints due to few labeled data sets, affecting the training of AI models demanding…