Batch Processing for Enhanced InISAR Imaging of Space Targets

High-precision 3-D reconstruction of satellites is critical for automatic target recognition (ATR). This article introduces a batch processing-based method to enhance the performance of interferometric inverse synthetic aperture radar (InISAR) imaging. By utilizing the phase information within the i...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on geoscience and remote sensing Ročník 62; s. 1 - 15
Hlavní autoři: Qian, Wenshuo, Wang, Junling, Zhao, Lizhi, Li, Haiguang, Tang, Fujie
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Automatic target recognition
Batch processing
Batch production systems
Estimation
Height
Image enhancement
Image reconstruction
Imaging
Information processing
interferometric inverse synthetic aperture radar (InISAR)
Inverse synthetic aperture radar
inverse synthetic aperture radar (ISAR) image sequence
Orbits
Performance enhancement
Phase unwrapping
Radar
Radar imaging
SAR (radar)
Satellite imagery
Satellites
space target
Space vehicles
Spaceborne radar
Three-dimensional displays
ISSN:0196-2892, 1558-0644
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:High-precision 3-D reconstruction of satellites is critical for automatic target recognition (ATR). This article introduces a batch processing-based method to enhance the performance of interferometric inverse synthetic aperture radar (InISAR) imaging. By utilizing the phase information within the inverse synthetic aperture radar (ISAR) image sequence, the main error components of height estimation are accurately estimated via the ordinary least squares (OLSs) method. In addition, an arc interval determination strategy for optimizing the batch processing performance is proposed. To ensure accurate phase unwrapping in challenging imaging scenarios, a phase unwrapping method based on the minimum standard deviation criterion is also proposed. Simulation experiments validate the effectiveness and superiority of the proposed algorithms. Compared with the traditional two-ISAR-image InISAR imaging method, the batch processing approach improves the precision of height estimation by approximately 50% with an arc length of approximately 15°.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2024.3492192