Results 31 to 40 of about 102,830 (273)
Near-Surface Interface Detection for Coal Mining Applications Using Bispectral Features and GPR [PDF]
, 2005 The use of ground penetrating radar (GPR) for detecting the presence of near-surface interfaces is a scenario of special interest to the underground coal mining industry.
A. Merwe van der +30 more
core +3 more sources
Radar shadow detection in SAR images using DEM and projections
, 2013 Synthetic aperture radar (SAR) images are widely used in target recognition tasks nowadays. In this letter, we propose an automatic approach for radar shadow detection and extraction from SAR images utilizing geometric projections along with the digital ...
Haddad, O., Prasath, V. B. S.
core +2 more sources
Two-Stream Deep Fusion Network Based on VAE and CNN for Synthetic Aperture Radar Target Recognition
Remote Sensing, 2021 Usually radar target recognition methods only use a single type of high-resolution radar signal, e.g., high-resolution range profile (HRRP) or synthetic aperture radar (SAR) images. In fact, in the SAR imaging procedure, we can simultaneously obtain both
Lan Du +5 more
doaj +1 more source
Baseband version of the bat-inspired spectrogram correlation and transformation receiver [PDF]
, 2016 Echolocating bats have evolved an excellent ability to detect and discriminate targets in highly challenging environments. They have had more than 50 million years of evolution to optimise their echolocation system with respect to their surrounding ...
Balleri, Alessio +3 more
core +3 more sources
Arthritis Care &Research, Accepted Article.Background Obesity, defined by BMI ≥30kg/m2, is a risk factor for functional limitations in people with knee osteoarthritis (OA). However, function varies among such individuals. Our objective was to evaluate the implications of obesity subtypes on longitudinal patterns of physical functioning in people with or at risk for knee OA.
Kristine Godziuk +6 more
wiley +1 more source
A Deep Learning-Based Satellite Target Recognition Method Using Radar Data
Sensors, 2019 A novel satellite target recognition method based on radar data partition and deep learning techniques is proposed in this paper. For the radar satellite recognition task, orbital altitude is introduced as a distinct and accessible feature to divide ...
Wang Lu +4 more
doaj +1 more source
Effect of sparsity-aware time–frequency analysis on dynamic hand gesture classification with radar micro-Doppler signatures [PDF]
, 2018 Dynamic hand gesture recognition is of great importance in human-computer interaction. In this study, the authors investigate the effect of sparsity-driven time-frequency analysis on hand gesture classification.
Fioranelli, Francesco +3 more
core +1 more source
Advanced Functional Materials, EarlyView.Hydroxyl‐terminated MXene is integrated with a redox‐active covalent organic framework through electrostatic self‐assembly followed by hydrothermal treatment to construct MXene/COF heterostructures with a built‐in interfacial electric field. Termination‐controlled interfacial electronic modulation induces charge redistribution and favorable band ...
Cheru Fekadu Molla +4 more
wiley +1 more source
Modal ordered shape factors as radar feature set
IET Radar, Sonar & NavigationThe characteristic polarisation states form a second layer feature set by reflecting shape attributes about that target, enabling better identification performance of the resonance signature.
Salem Salamah, Faisal Aldhubaib
doaj +1 more source
Computational Burden Resulting from Image Recognition of High Resolution Radar Sensors
Sensors, 2013 This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process.
Elena Rufo +5 more
doaj +1 more source