Results 41 to 50 of about 48,067 (197)
Sparse representation-based synthetic aperture radar imaging [PDF]
, 2011 There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying ...
Cetin, Mujdat +3 more
core +1 more source
Enhancing SEM signature via bistatic radar configuration of small bisectors
IET Radar, Sonar & Navigation, 2022 The paper assesses the feasibility of finding bistatic directions of minimum bisectors subject to resonant frequency and polarisation diversities to improve the robustness of the resonance signature when extracted from the late time radar response.
Faisal Aldhubaib
doaj +1 more source
RADAR AUTOMATIC TARGET RECOGNITION BASED ON SEQUENTIAL VANISHING COMPONENT ANALYSIS [PDF]
Progress In Electromagnetics Research, 2014 To reduce the complexity of classifler design in radar automatic target recognition (RATR), a novel RATR method for high range resolution proflle (HRRP) is proposed. Linearly separable features are extracted with sequential vanishing component analysis (SVCA) which is implemented by flnding the generators of each approximately vanishing polynomial set,
Shengqi Liu +3 more
openaire +1 more source
Gait Analysis of Horses for Lameness Detection with Radar Sensors [PDF]
, 2017 This paper presents the preliminary investigation of the use of radar signatures to detect and assess lameness of horses and its severity. Radar sensors in this context can provide attractive contactless sensing capabilities, as a complementary or ...
Fioranelli, F. +4 more
core +1 more source
Sensors, 2017 The frequency of terahertz radar ranges from 0.1 THz to 10 THz, which is higher than that of microwaves. Multi-modal signals, including high-resolution range profile (HRRP) and Doppler signatures, can be acquired by the terahertz radar system.
Zhi Zhou, Zongjie Cao, Yiming Pi
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Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured
IEEE AccessSynthetic aperture radar technology is crucial for high-resolution imaging under various conditions; however, the acquisition of real-world synthetic aperture radar data for deep learning-based automatic target recognition remains challenging due to high
Minjun Kim +7 more
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Study on ISAR imaging for forward-looking missile-borne millimetre wave radar
The Journal of Engineering, 2019 Target recognition is a challenging problem in air-to-surface terminal guidance for missile-borne millimetre wave radar (MWR). The class of high range resolution profile (HRRP)-based automatic target recognition approaches is sensitive to the attitude of
Cai Wen, Jiang Zhu, Yan Zhou, Jinye Peng
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Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
core +4 more sources
Multiple feature-enhanced SAR imaging using sparsity in combined dictionaries [PDF]
, 2012 Nonquadratic regularization-based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point ...
Cetin, Mujdat +3 more
core +2 more sources
South African Journal of Industrial Engineering, 2013 During combat, measuring the dimensions of targets is extremely important for knowing when to fire on the enemy. The importance of identifying a known target on land emphasizes the importance of techniques devoted to automatic target recognition ...
Göztepe, K.
doaj +1 more source