A Modified Iteration-Free SPGA Based on Removing the Linear Phase Article Swipe
Yi Xie
,
Yuchen Luan
,
Longyong Chen
,
Xin Zhang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/rs15235535
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/rs15235535
In traditional Stripmap SAR imaging, the platform motion error will bring the phase error in the azimuthal direction to the image, which will have a series of effects on the imaging quality. The traditional autofocus algorithm—Stripmap Phase Gradient Algorithm (SPGA)—can estimate any order phase error above the second order in theory, but it is difficult to estimate the linear phase error, which leads to the discontinuity of the estimated phase error. It usually needs multiple iterations to focus an image, which is inefficient. Moreover, because the linear phase error cannot be estimated, the traditional SPGA cannot eliminate the target offset in the image, resulting in the distortion of the image in the azimuthal direction. According to the continuity of phase error, we propose a modified iteration-free SPGA based on removing the linear phase. Without iteration, the proposed autofocus algorithm can achieve comparable or even better results than traditional SPGA. In the simulation experiments, piecewise linear errors are added to the images of multiple targets. SPGA still fails to focus the image after six iterations. The average ILSR and ILSR are −7.11 dB and −3.99 dB, respectively, and the average number of point target drift is 8.42 pixels. The proposed algorithm optimizes the average ILSR and ILSR to −12.34 dB and −9.87 dB and reduces the average number of point target drift to 0.16 pixels. In the actual data processing, using image entropy as the evaluation criterion, the time consumption is only 19.25% of SPGA under the condition of achieving the same focusing quality.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/rs15235535
- https://www.mdpi.com/2072-4292/15/23/5535/pdf?version=1701167428
- OA Status
- gold
- Cited By
- 2
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389080247
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4389080247Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/rs15235535Digital Object Identifier
- Title
-
A Modified Iteration-Free SPGA Based on Removing the Linear PhaseWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-28Full publication date if available
- Authors
-
Yi Xie, Yuchen Luan, Longyong Chen, Xin ZhangList of authors in order
- Landing page
-
https://doi.org/10.3390/rs15235535Publisher landing page
- PDF URL
-
https://www.mdpi.com/2072-4292/15/23/5535/pdf?version=1701167428Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2072-4292/15/23/5535/pdf?version=1701167428Direct OA link when available
- Concepts
-
Autofocus, Pixel, Algorithm, Piecewise linear function, Computer science, Focus (optics), Phase (matter), Azimuth, Offset (computer science), Mathematics, Artificial intelligence, Optics, Mathematical analysis, Physics, Geometry, Programming language, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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