Results 201 to 210 of about 81,814 (282)
Classification of Automotive Targets Using Inverse Synthetic Aperture Radar Images [PDF]
IEEE Transactions on Intelligent Vehicles, 2021 Traditionally, point cloud representations or Doppler spectrograms have been generated from short-range automotive radars for dynamic object detection and classification.
Neeraj Pandey, S. S. Ram
semanticscholar +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
European Radar Conference, 2023
The inverse synthetic aperture radar (ISAR) principle is utilized in combination with a multiple-input multiple-output (MIMO) radar imaging system in order to generate high-resolution images of large objects.
Marius Brinkmann +2 more
semanticscholar +1 more source
The inverse synthetic aperture radar (ISAR) principle is utilized in combination with a multiple-input multiple-output (MIMO) radar imaging system in order to generate high-resolution images of large objects.
Marius Brinkmann +2 more
semanticscholar +1 more source
Sparse Inverse Synthetic Aperture Radar Imaging Using Structured Low-Rank Method
IEEE Transactions on Geoscience and Remote Sensing, 2021There has been an increasing interest in addressing the issue of high-resolution inverse synthetic aperture radar (ISAR) imaging from sparse sampling data. Traditional compressed sensing (CS) and matrix completion (MC) methods are based on sparse and low-
Gang Xu +5 more
semanticscholar +1 more source
IEEE International Geoscience and Remote Sensing Symposium, 2022
High-resolution imaging of the corner-hidden moving target makes tremendous sense in the fields of urban sensing and autonomous driving. In this paper, a joint No-line-of-sight (NLOS) model and inverse synthetic aperture radar (ISAR) imaging method are ...
Yanbo Wen +5 more
semanticscholar +1 more source
High-resolution imaging of the corner-hidden moving target makes tremendous sense in the fields of urban sensing and autonomous driving. In this paper, a joint No-line-of-sight (NLOS) model and inverse synthetic aperture radar (ISAR) imaging method are ...
Yanbo Wen +5 more
semanticscholar +1 more source
Inverse Synthetic Aperture Radar Imaging and Its Basic Concepts
Algorithms, 2022Inverse Synthetic Aperture Radar Imaging of the Ex-USS Hull Using Spectral Estimation TechniquesInverse Synthetic Aperture Radar Imaging With MATLAB AlgorithmsSynthetic Aperture Radar Signal Processing with MATLAB AlgorithmsUnderstanding Synthetic ...
semanticscholar +1 more source
Jointly Using Low-Rank and Sparsity Priors for Sparse Inverse Synthetic Aperture Radar Imaging
IEEE Transactions on Image Processing, 2020The inverse synthetic aperture radar (ISAR) imaging technique of a moving target with sparse sampling data has attracted wide attention due to its ability to reduce the data collection burden.
Wei Qiu, Jianxiong Zhou, Q. Fu
semanticscholar +1 more source
Microlocal structure of inverse synthetic aperture radar data [PDF]
Inverse Problems, 2003 The work engaged by the authors was motivated by radar applications. But, although the actual radar systems dwell on electromagnetic waves, and targets cause to interrelate the field components, which gives rise to vector wave equations, the authors consider only one scalar functions \(u(t,x)\) satisfying the equation \[ \Delta u- \{1/c^*(t, x)\}^2 ...
Brett Borden, Margaret Cheney
openaire +2 more sources