Results 31 to 40 of about 7,077 (239)
BSBL-based multiband fusion ISAR imaging
The Journal of Engineering, 2019 Multiband fusion imaging can effectively improve the range resolution of inverse synthetic aperture radar (ISAR) imaging. In this study, the block sparse Bayesian learning (BSBL) method is applied to multiband fusion imaging to achieve high-resolution ...
Di Xiong +3 more
doaj +1 more source
Inverse Airborne Optical Sectioning
Drones, 2022 We present Inverse Airborne Optical Sectioning (IAOS), an optical analogy to Inverse Synthetic Aperture Radar (ISAR). Moving targets, such as walking people, that are heavily occluded by vegetation can be made visible and tracked with a stationary ...
Rakesh John Amala Arokia Nathan +2 more
doaj +1 more source
Anti-jamming of Inverse Synthetic Aperture Radar based on Slope-varying Linear Frequency Modulation Signal [PDF]
, 2009 Deceptive jamming technology against inverse synthetic aperture radar is matured now, which is meaningful in military application. But the research on anti-jamming technology for inverse synthetic aperture radar (ISAR) is still not a mature technology ...
Hongqiang, Wang +3 more
core +2 more sources
A sparsity-driven approach for joint SAR imaging and phase error correction [PDF]
, 2012 Image formation algorithms in a variety of applications have explicit or implicit dependence on a mathematical model of the observation process. Inaccuracies in the observation model may cause various degradations and artifacts in the reconstructed ...
Çetin, Müjdat, Önhon, Özben Naime
core +5 more sources
A nonquadratic regularization-based technique for joint SAR imaging and model error correction [PDF]
, 2008 Regularization based image reconstruction algorithms have successfully been applied to the synthetic aperture radar (SAR) imaging problem. Such algorithms assume that the mathematical model of the imaging system is perfectly known.
Cetin, Mujdat +3 more
core +1 more source
Parametric Sparse Representation and Its Applications to Radar Sensing
Leida xuebao, 2016 Sparse signal processing has been utilized to the area of radar sensing. Due to the presence of unknown factors such as the motion of the targets of interest and the error of the radar trajectory, a predesigned dictionary cannot provide the optimally ...
Li Gang, Xia Xiang-Gen
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 The airborne hybrid synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR) imaging for the ship target is very important in the field of ocean surveillance, but it suffers from the problem of high computational complexity.
Rui Cao +3 more
doaj +1 more source
Micro-Doppler Extraction and ANalysis of the Ballistic Missile Using RDA Based on the Flight Scenario [PDF]
, 2014 11Yscopu
Joo-Ho Jung +3 more
core +2 more sources
Refocusing Moving Ship Targets in SAR Images Based on Fast Minimum Entropy Phase Compensation
Sensors, 2019 Moving ship targets appear blurred and defocused in synthetic aperture radar (SAR) images due to the translation motion during the coherent processing. Motion compensation is required for refocusing moving ship targets in SAR scenes.
Xiangli Huang +4 more
doaj +1 more source
ISAR Imaging of Maneuvering Targets Based on the Modified Discrete Polynomial-Phase Transform
Sensors, 2015 Inverse synthetic aperture radar (ISAR) imaging of a maneuvering target is a challenging task in the field of radar signal processing. The azimuth echo can be characterized as a multi-component polynomial phase signal (PPS) after the translational ...
Yong Wang +3 more
doaj +1 more source