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Inverse Synthetic Aperture Radar [PDF]
EURASIP Journal on Advances in Signal Processing, 2006 n ...
Chen Victor +6 more
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A tutorial on synthetic aperture radar [PDF]
IEEE Geoscience and Remote Sensing Magazine, 2013 Synthetic Aperture Radar (SAR) has been widely used for Earth remote sensing for more than 30 years. It provides high-resolution, day-and-night and weather-independent images for a multitude of applications ranging from geoscience and climate change research, environmental and Earth system monitoring, 2-D and 3-D mapping, change detection, 4-D mapping (
Alberto Moreira +2 more
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Ultrasound synthetic aperture non-line-of-sight imaging [PDF]
Communications PhysicsNon-line-of-sight (NLOS) imaging typically relies on the use of ultrashort laser pulses and time-resolved detection to then reconstruct 3D environments that are hidden from the direct line-of-sight.
Tailin Li +6 more
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Compressed Synthetic Aperture Radar [PDF]
IEEE Journal on Selected Topics in Signal Processing, 2010 In this paper, we introduce a new synthetic aperture radar (SAR) imaging modality which can provide a high-resolution map of the spatial distribution of targets and terrain using a significantly reduced number of needed transmitted and/or received electromagnetic waveforms.
Vishal M Patel +2 more
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Synthetic Aperture Scatter Imaging
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingDiffraction limits the minimum resolvable feature on remotely observed targets to $\lambda R_{c}/A_{c}$, where $\lambda$ is the operating wavelength, $R_{c}$ is the range to the target and $A_{c}$ is the diameter of the observing aperture.
Qian Huang +5 more
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Analysis Method for Determining Optimal Synthetic Aperture Time Using Estimated Range and Doppler Cone Angle at the Center of Synthetic Aperture Length [PDF]
Journal of Electromagnetic Engineering and Science, 2023 Synthetic aperture time (SAT) is a crucial component for acquiring high-quality synthetic aperture radar images with an excellent target cross-range resolution.
Min-Ji Kim, Sangho Lim, Dong-Cho Shin
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Remote Sensing, 2021 Mission-critical applications that rely on deep learning (DL) for automation suffer because DL models struggle to provide reliable indicators of failure.
Jarrod Haas, Bernhard Rabus
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Synthetic Aperture Anomaly Imaging
CoRR, 2023 Previous research has shown that in the presence of foliage occlusion, anomaly detection performs significantly better in integral images resulting from synthetic aperture imaging compared to applying it to conventional aerial images. In this article, we hypothesize and demonstrate that integrating detected anomalies is even more effective than ...
Rakesh John Amala Arokia Nathan +1 more
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Interferometric synthetic aperture microscopy [PDF]
Nature Physics, 2007 State-of-the-art methods in high-resolution three-dimensional optical microscopy require that the focus be scanned through the entire region of interest. However, an analysis of the physics of the light-sample interaction reveals that the Fourier-space coverage is independent of depth.
Tyler S, Ralston +3 more
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Synthetic Aperture Hitchhiker Imaging [PDF]
IEEE Transactions on Image Processing, 2008 We introduce a novel synthetic-aperture imaging method for radar systems that rely on sources of opportunity. We consider receivers that fly along arbitrary, but known, flight trajectories and develop a spatio-temporal correlation-based filtered-backprojection-type image reconstruction method. The method involves first correlating the measurements from
Can Evren Yarman, Birsen Yazici
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