A ground-based dataset and a diffusion model for on-orbit low-light image enhancement [PDF]
On-orbit service is important for maintaining the sustainability of space environment. Space-based visible camera is an economical and lightweight sensor for situation awareness during on-orbit service. However, it can be easily affected by the low illumination environment. Recently, deep learning has achieved remarkable success in image enhancement of
arxiv
Energy‐Aware Protocol Design and Evaluation of the PHY Layer in Satellite IoT
ABSTRACT Direct‐to‐satellite communication for the Internet of Things (IoT) has attracted significant interest from both the scientific community and major telecommunications players. The integration of satellite connectivity in smartphones and IoT devices promises a transformative impact on critical applications such as environmental monitoring, asset
Simon Heine+2 more
wiley +1 more source
First assessment of geophysical sensitivities from spaceborne Galileo and BeiDou GNSS-Reflectometry data collected by the UK TechDemoSat-1 Mission [PDF]
The UK’s TechDemoSat-1 (TDS-1), launched 2014, has demonstrated the use of global positioning system (GPS) signals for monitoring ocean winds and sea ice.
Foti, Giuseppe+7 more
core +1 more source
Deep Learning Driven Detection of Tsunami Related Internal GravityWaves: a path towards open-ocean natural hazards detection [PDF]
Tsunamis can trigger internal gravity waves (IGWs) in the ionosphere, perturbing the Total Electron Content (TEC) - referred to as Traveling Ionospheric Disturbances (TIDs) that are detectable through the Global Navigation Satellite System (GNSS). The GNSS are constellations of satellites providing signals from Earth orbit - Europe's Galileo, the ...
arxiv
Abstract Satellites, equipped with electromagnetic sensors, can detect and locate the lightning electromagnetic radiation sources (LERS) in the thunderstorm over the globe surface of the Earth, delivering data regarding occurrence time, geolocation, and intensity. This paper presents the study on the three‐dimensional (3D) positioning of LERS utilizing
Xiao Li+8 more
wiley +1 more source
Crop-GPA: an integrated platform of crop gene-phenotype associations
With the increasing availability of large-scale biology data in crop plants, there is an urgent demand for a versatile platform that fully mines and utilizes the data for modern molecular breeding.
Yujia Gao+5 more
doaj +1 more source
In 2015, the plan for global coverage by the Chinese BeiDou Navigation Satellite System was launched. Five global BeiDou experimental satellites (BeiDou-3e) are in orbit for testing.
Xiaolong Xu+3 more
doaj +1 more source
Convolution-Transformer Adaptive Fusion Network for Hyperspectral Image Classification
Hyperspectral image (HSI) classification is an important but challenging topic in the field of remote sensing and earth observation. By coupling the advantages of convolutional neural network (CNN) and Transformer model, the CNN–Transformer hybrid model ...
Jiaju Li+5 more
doaj +1 more source
Pilot Evaluation of Integrating GLONASS, Galileo and BeiDou with GPS in Araim [PDF]
© 2016 Artificial Satellites. In this pilot study, availability of the Advanced Receiver Autonomous Integrity Monitoring (ARAIM) when integrating various combinations of satellite constellations including; Galileo, GLONASS and BeiDou with GPS is ...
El-Mowafy, Ahmed
core +1 more source
Near-real-time VTEC maps: new contribution for Latin America Space Weather [PDF]
The development of regional services able to provide ionospheric vertical totalelectron content (VTEC) maps and ionospheric indexes with a high spatialresolution, and in near-real-time, are of great importance for both civilianapplications and the research community. We provide here the methodolo-gies, and an assessment, of such a system.
arxiv +1 more source