Results 91 to 100 of about 18,368 (213)
Multiple Measurement Vectors ISAR Imaging Algorithm Based on a Class of Linearized Bregman Iteration
This study aims to enable steady and speedy acquisition of Inverse Synthetic Aperture Radar (ISAR) images using sparse echo data. To this end, a Multiple Measurement Vectors (MMV) ISAR echo model is studied.
Chen Wenfeng +3 more
doaj +1 more source
Bistatic image processing for a 32 x 19 inch model aircraft using scattered fields obtained in the OSU-ESL compact range [PDF]
Inverse Synthetic Aperture Radar (ISAR) images for a 32 in long and 19 in wide model aircraft are documented. Both backscattered and bistatic scattered fields of this model aircraft were measured in the OSU-ESL compact range to obtain these images.
Burnside, W. D., Lee, T-H.
core +1 more source
Abstract Revision surgery after anterior cruciate ligament reconstruction (ACL‐R) is hypothesized to be the result of an interplay between factors associated with the anatomy, physiological characteristics and environment of the patient. The multifactorial nature of revision ACL‐R risk is difficult to quantify, and evidence regarding the independent ...
Bálint Zsidai +10 more
wiley +1 more source
Joint ISAR imaging and azimuth scaling under low SNR using parameterized compensation and calibration method with entropy minimum criterion [PDF]
Tingting He +5 more
openalex +1 more source
Abstract Purpose To develop a method for abdominal simultaneous 3D water T1$$ {T}_1 $$ (wT1$$ \mathrm{w}{T}_1 $$) and T2$$ {T}_2 $$ (wT2$$ \mathrm{w}{T}_2 $$) mapping with isotropic resolution using a free‐breathing Cartesian acquisition with spiral profile ordering (CASPR) at 3 T.
Jonathan Stelter +7 more
wiley +1 more source
A high resolution inverse synthetic aperture radar (ISAR) technique is presented using modified Doppler history based motion compensation. To this purpose, a novel wideband ISAR system is developed that accommodates parametric processing over extended ...
Jung-Hwan Song +3 more
doaj +1 more source
Semi-Supervised Deep Learning for Fully Convolutional Networks
Deep learning usually requires large amounts of labeled training data, but annotating data is costly and tedious. The framework of semi-supervised learning provides the means to use both labeled data and arbitrary amounts of unlabeled data for training ...
D García-Lorenzo +4 more
core +1 more source
ISAR Imaging of Nonuniformly Rotating Targets With Low SNR Based on Third Order Autocorrelation Function [PDF]
Yanyan Li +5 more
openalex +1 more source
Abstract Purpose T2∗$$ {\mathrm{T}}_2^{\ast } $$ quantification from gradient echo magnetic resonance imaging is particularly affected by subject motion due to its high sensitivity to magnetic field inhomogeneities, which are influenced by motion and might cause signal loss. Thus, motion correction is crucial to obtain high‐quality T2∗$$ {\mathrm{T}}_2^
Hannah Eichhorn +7 more
wiley +1 more source
Inverse synthetic aperture radar imaging using complex-value deep neural network
As compared with traditional ISAR imaging methods, the compressive sensing (CS)-based imaging methods can obtain high-quality images using much less under-sampled data.
ChangYu Hu +4 more
doaj +1 more source

