Results 21 to 30 of about 31,010 (266)

A Cooperative Routing Scheme Using Inter-Satellite Links to Assist Data Downloading for LEO Satellite Networks

Sensors, 2022
Low earth orbit (LEO) satellite networks can provide Internet service to users in areas where cellular networks are difficult to deploy. One critical function of satellites is to transfer data from satellite networks to ground core network through earth ...
Zijian Yang, Huijie Liu, Jifeng Jin, Feng Tian   +3 more
doaj   +1 more source

Robust Centroid Estimation Method with the Rough and Refined Estimation for Interplanetary Optical Navigation

International Journal of Aerospace Engineering, 2023
As the interest in probing deep space increases, it is necessary to enhance the autonomous navigation capabilities of the spacecraft. Since traditional navigation methods rely on ground-based radiometric tracking, the vehicle has a significant ...
Qichang Qiang, Baojun Lin, Yingchun Liu, Xia Lin   +3 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, Huijie Liu, Lingfeng Zhao, Xiaolong Bian   +3 more
doaj   +1 more source

A Novel Adaptive Group Sparse Representation Model Based on Infrared Image Denoising for Remote Sensing Application

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, Zhencai Zhu, Haiying Hu, Lin Qiu, Zhenzhen Zheng, Lei Dong   +5 more
doaj   +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, Yue Zhang, Ye Zhu, Ya Dai, Xuan Zhang, Xuwen Liang   +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, Zhencai Zhu, Haiying Hu, Lin Qiu, Zhenzhen Zheng, Lei Dong   +5 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, Feng Tian, Jifeng Jin, Huijie Liu   +3 more
doaj   +1 more source

A Survey of Precision Formation Relative State Measurement Technology for Distributed Spacecraft

Aerospace, 2022
High-precision relative-state measurement technology is one of the key technologies for achieving the precision formation flying of distributed spacecraft.
Zhang Zhang, Lei Deng, Jiaqi Feng, Liang Chang, Dong Li, Yilin Qin   +5 more
doaj   +1 more source

Automated Model Hardening with Reinforcement Learning for On-Orbit Object Detectors with Convolutional Neural Networks

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, Lu Li, Jiaqi Feng, Wen Chen, Jinpei Yu   +4 more
doaj   +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, Zengshan Yin, Xinwei Kong, Long Wang, Han Ren   +4 more
doaj   +1 more source