A Framework for Assessing the Interference from NGSO Satellite Systems to a Radio Astronomy System
Applied Sciences, 2023 As the number of non-geostationary orbit (NGSO) satellites continues to grow, interference with other communication systems, including radio astronomy systems (RASs), is becoming increasingly critical.
Cheng Zou +7 more
doaj +1 more source
The Link Attenuation Model Based on Monte Carlo Simulation for Laser Transmission in Fog Channel
IEEE Photonics Journal, 2020 Free space optical (FSO) systems were usually designed according to the link budget analysis. However, the previous link attenuation estimations for fog channel were not precise.
Siqi Hu +3 more
doaj +1 more source
Applied Sciences, 2023 Infrared (IR) Image preprocessing is aimed at image denoising and enhancement to help with small target detection. According to the sparse representation theory, the IR original image is low rank, and the coefficient shows a sparse character.
Juan Chen +5 more
doaj +1 more source
Multi-Scale Local Contrast Fusion Based on LOG in Infrared Small Target Detection
Aerospace, 2023 The infrared detector is adopted to track and recognize targets, including missiles and airplanes. These targets are usually far from the detector. The pixel size is less than 9×9 when the image has 256×256 pixels.
Juan Chen +5 more
doaj +1 more source
Measuring microsatellite conservation in mammalian evolution with a phylogenetic birth-death model. [PDF]
, 2012 Microsatellites make up ∼3% of the human genome, and there is increasing evidence that some microsatellites can have important functions and can be conserved by selection.
Buschiazzo, Emmanuel +4 more
core +1 more source
Absolute Distance Measurement Based on Self-Mixing Interferometry Using Compressed Sensing
Applied Sciences, 2022 An absolute distance measurement sensor based on self-mixing interferometry (SMI) is suitable for application in aerospace due to its small size and light weight.
Li Li +5 more
doaj +1 more source
Aerospace, 2023 On-orbit object detection has received extensive attention in the field of artificial intelligence (AI) in space research. Deep-learning-based object-detection algorithms are often computationally intensive and rely on high-performance devices to run ...
Qi Shi +4 more
doaj +1 more source
Rethinking LEO Mega-Constellation Routing to Provide Fast Internet Access Services
Sensors, 2023 In the realm of providing space-based internet access services, utilizing large-scale low Earth orbit (LEO) satellite networks have emerged as a promising solution for bridging the digital divide and connecting previously unconnected regions.
Zijian Yang +3 more
doaj +1 more source
Abundant variation in microsatellites of the parasitic nematode Trichostrongylus tenuis and linkage to a tandem repeat [PDF]
, 2006 An understanding of how genes move between and within populations of parasitic nematodes is important in combating the evolution and spread of anthelmintic resistance.
Adam, A. +5 more
core +1 more source
Cascade Residual Capsule Network for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Theconvolution neural network (CNN) has recently shown the good performance in hyperspectral image (HSI) classification tasks. Many CNN-based methods crop image patches from original HSI as inputs.
Zhiming Mei +4 more
doaj +1 more source