Results 201 to 210 of about 83,251 (291)

Non-destructive testing of steel-lined concrete structure using multiple agents with deep prior. [PDF]

Sci Rep
Alanazi AM.
europepmc   +1 more source

PolSAR image classification using shallow to deep feature fusion network with complex valued attention. [PDF]

Sci Rep
Alkhatib MQ, Zitouni MS, Al-Saad M, Aburaed N, Al-Ahmad H.   +4 more
europepmc   +1 more source

Incorporating Radar Frequency-Domain Deramping into Variational Shape-Based Scene Reconstruction: A Feasibility Study Using Active Contours. [PDF]

Sensors (Basel)
Yildirim A, Bignardi S, Barnes CF, Yezzi AJ.   +3 more
europepmc   +1 more source

Performance Analysis of a Digital Image Synthesizer as a Counter-Measure Against Inverse Synthetic Aperture Radar

, 2002
Fernando A. LeDantec
openalex   +1 more source

Optimal space time adaptive processing for multichannel inverse synthetic aperture radar imaging.

, 2014
Alessio Bacci
openalex   +1 more source

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Terahertz Inverse Synthetic Aperture Radar

2025 IEEE Research and Applications of Photonics in Defense Conference (RAPID)
Using a novel THz radar, we generate inverse-synthetic-aperture-radar images of a rudimentary test target and experimentally demonstrate a cross-range resolution better than one centimeter.
Colin Casey, Karl L. Strecker, G. Levi Captain, Tyler Thompson, John F. O'Hara, Rajind Mendis   +5 more
openaire   +2 more sources

Nearfield Multiple-Input Multiple-Output Inverse Synthetic Aperture Radar for High-Resolution Imaging of Large Objects

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, Gerhard F. Hamberger, T. Eibert   +2 more
semanticscholar   +1 more source

Sparse Inverse Synthetic Aperture Radar Imaging Using Structured Low-Rank Method

IEEE Transactions on Geoscience and Remote Sensing, 2021
There 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, Bangjie Zhang, Jianlai Chen, Fan Wu, Jialian Sheng, Wei Hong   +5 more
semanticscholar   +1 more source