What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Optics
- Mathematical analysis
Tat Soon Yeo mainly focuses on Optics, Mathematical analysis, Synthetic aperture radar, Radar imaging and Artificial intelligence.
His research investigates the connection between Optics and topics such as Microstrip antenna that intersect with problems in Microstrip.
Tat Soon Yeo interconnects Electromagnetic field and Eigenfunction in the investigation of issues within Mathematical analysis.
The study incorporates disciplines such as Segmentation, Convolutional neural network, Pattern recognition and Deep learning in addition to Synthetic aperture radar.
His Radar imaging research is multidisciplinary, incorporating perspectives in Chirp, Motion compensation and Aperture.
His study looks at the intersection of Artificial intelligence and topics like Computer vision with Radar remote sensing.
His most cited work include:
- Imaging of a Moving Target With Rotating Parts Based on the Hough Transform (186 citations)
- Weighted least-squares estimation of phase errors for SAR/ISAR autofocus (173 citations)
- New applications of nonlinear chirp scaling in SAR data processing (160 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Optics, Mathematical analysis, Synthetic aperture radar, Radar imaging and Scattering.
His work investigates the relationship between Optics and topics such as Microstrip antenna that intersect with problems in Antenna measurement and Microstrip.
His Mathematical analysis research is multidisciplinary, incorporating elements of Geometry, Electromagnetic field and Eigenfunction.
He has researched Synthetic aperture radar in several fields, including Algorithm and Side looking airborne radar.
His Radar imaging research incorporates elements of Chirp, Signal and Motion compensation.
His Scattering study also includes fields such as
- Electromagnetic radiation and related Wave propagation,
- Computational physics that connect with fields like Attenuation.
He most often published in these fields:
- Optics (35.83%)
- Mathematical analysis (26.39%)
- Synthetic aperture radar (17.22%)
What were the highlights of his more recent work (between 2012-2021)?
- Synthetic aperture radar (17.22%)
- Radar imaging (16.67%)
- Inverse synthetic aperture radar (11.67%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Synthetic aperture radar, Radar imaging, Inverse synthetic aperture radar, Algorithm and Radar.
His biological study deals with issues like Scattering, which deal with fields such as Continuous wave and Basis function.
He combines subjects such as Image resolution, Side looking airborne radar, Continuous-wave radar, Bistatic radar and Remote sensing with his study of Inverse synthetic aperture radar.
Tat Soon Yeo has included themes like Fast Fourier transform, Waveform, Computer vision and Artificial intelligence in his Radar study.
His Wideband research is within the category of Optics.
His research in Optics intersects with topics in Microstrip antenna, Orders of magnitude and Position.
Between 2012 and 2021, his most popular works were:
- SAR Automatic Target Recognition Based on Multiview Deep Learning Framework (88 citations)
- A Low Profile and Low Sidelobe Wideband Slot Antenna Array Feb by an Amplitude-Tapering Waveguide Feed-Network (55 citations)
- Fabrication of a High-Efficiency Waveguide Antenna Array via Direct Metal Laser Sintering (49 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Optics
- Mathematical analysis
Radar imaging, Inverse synthetic aperture radar, Algorithm, Optics and Artificial intelligence are his primary areas of study.
The various areas that Tat Soon Yeo examines in his Radar imaging study include Synthetic aperture radar and Matching pursuit.
The concepts of his Inverse synthetic aperture radar study are interwoven with issues in Distortion problem, Image formation and Bistatic radar.
His Algorithm research incorporates themes from Acceleration, Point, Fourier transform and Time delay and integration.
Many of his studies on Optics apply to Power split as well.
His Artificial intelligence study incorporates themes from Computer vision and Pattern recognition.
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