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Bibliographic Details
Main Author: Bergerhoff, Leif
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2405.15253
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author Bergerhoff, Leif
author_facet Bergerhoff, Leif
contents We come up with a novel application for image analysis methods in the context of direction dependent signal characteristics. For this purpose, we describe an inpainting approach adding benefit to technical signal information which are typically only used for monitoring and control purposes in ground station operations. Recalling the theoretical properties of the employed inpainting technique and appropriate modeling allow us to demonstrate the usefulness of our approach for satellite data reception quality assessment. In our application, we show the advantages of inpainting products over raw data as well as the rich potential of the visualization of technical signal information.
format Preprint
id arxiv_https___arxiv_org_abs_2405_15253
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Seeing the World through an Antenna's Eye: Reception Quality Visualization Using Incomplete Technical Signal Information
Bergerhoff, Leif
Computer Vision and Pattern Recognition
Numerical Analysis
Data Analysis, Statistics and Probability
We come up with a novel application for image analysis methods in the context of direction dependent signal characteristics. For this purpose, we describe an inpainting approach adding benefit to technical signal information which are typically only used for monitoring and control purposes in ground station operations. Recalling the theoretical properties of the employed inpainting technique and appropriate modeling allow us to demonstrate the usefulness of our approach for satellite data reception quality assessment. In our application, we show the advantages of inpainting products over raw data as well as the rich potential of the visualization of technical signal information.
title Seeing the World through an Antenna's Eye: Reception Quality Visualization Using Incomplete Technical Signal Information
topic Computer Vision and Pattern Recognition
Numerical Analysis
Data Analysis, Statistics and Probability
url https://arxiv.org/abs/2405.15253