Compressive sensing‐based inverse synthetic radar imaging imaging from incomplete data

Autor: Alessio Bacci, Sonia Tomei, Elisa Giusti, Marco Martorella, Fabrizio Berizzi
Rok vydání: 2016
Předmět:
Synthetic aperture radar
incomplete data
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
0211 other engineering and technologies
Inverse
02 engineering and technology
Iterative reconstruction
Synthetic aperture radar
radar imaging
image reconstruction
compressed sensing
image enhancement
image resolution
compressive sensing-based inverse synthetic radar imaging
CS-based ISAR imaging method
incomplete data
image reconstruction
compressed data
resolution enhancement
gapped data
image contrast
image contrast
Radar imaging
0202 electrical engineering
electronic engineering
information engineering
compressed data
Computer vision
image enhancement
Electrical and Electronic Engineering
Image resolution
compressed sensing
021101 geological & geomatics engineering
compressive sensing-based inverse synthetic radar imaging
business.industry
gapped data
Resolution (electron density)
CS-based ISAR imaging method
resolution enhancement
020206 networking & telecommunications
image reconstruction
radar imaging
Inverse synthetic aperture radar
Compressed sensing
Computer Science::Computer Vision and Pattern Recognition
Artificial intelligence
business
image resolution
Zdroj: IET Radar, Sonar & Navigation. 10:386-397
ISSN: 1751-8792
Popis: The applicability of compressive sensing (CS) to radar imaging has been recently proven and its capability to construct reliable radar images from a limited set of measurements demonstrated. In this study, a common framework for inverse synthetic aperture radar (ISAR) imaging via CS is provided and a CS-based ISAR imaging method is proposed. The proposed method is tested for application such as image reconstruction from compressed data, resolution enhancement and image reconstruction from gapped data. The effectiveness of the proposed method is demonstrated on real datasets and the performance evaluated by means of image contrast.
Databáze: OpenAIRE
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