Evidence map›Paper›PMID 38931633›Full record

ArticleSensors (Basel, Switzerland)2024

Real-Time Synthetic Aperture Radar Imaging with Random Sampling Employing Scattered Power Mapping.

Romina Kazemivala, Natalia K Nikolova

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Romina KazemivalaDepartment of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0002-5385-1074
Natalia K NikolovaDepartment of Electrical and Computer Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada.ORCID 0000-0003-0251-7743

Funding

Natural Sciences and Engineering Research Council RTI-2020-00456, RGPIN-2017-06058, RGPIN-2023-04483
6 · The paper itself

Abstract

A novel image-reconstruction method is proposed for the processing of data acquired at random spatial positions. The images are reconstructed and updated in real time concurrently with the measurements to produce an evolving image, the quality of which is continuously improving and converging as the number of data points increases with the stream of additional measurements. It is shown that the images converge to those obtained with data acquired on a uniformly sampled surface, where the sampling density satisfies the Nyquist limit. The image reconstruction employs a new formulation of the method of scattered power mapping (SPM), which first maps the data into a three-dimensional (3D) preliminary image of the target on a uniform spatial grid, followed by fast Fourier space image deconvolution that provides the high-quality 3D image.

Indexed as

electromagnetic scatteringimaging in real timeinverse scatteringmicrowave imagingmillimeter-wave imagingnondestructive testing (NDT)nonuniform samplingquantitative imagingsynthetic aperture radar

Identifiers

PMID38931633
PMCPMC11207889

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.