Building 3D reconstruction of TomoSAR using multiple bounce scattering model Article Swipe
Fubo Zhang
,
Yaqian Yang
,
Longyong Chen
,
Ling Yang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1049/ell2.12462
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1049/ell2.12462
Tomographic synthetic aperture radar (TomoSAR) plays a critical role in the 3D reconstruction of complex urban targets with the capability of 3D imaging. Nevertheless, multipath scattering interference is common in 3D point clouds, seriously affecting the structure of the 3D model. In this letter, the multipath scattering phenomenon of buildings is analysed and the building 3D reconstruction of TomoSAR using multiple bounce scattering model is proposed. The superiority of the proposed method is demonstrated for experiments on array TomoSAR data. It is found that the proposed method not only achieves interference suppression but also improves integrity and accuracy taking advantage of multiple scattering information.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/ell2.12462
- OA Status
- gold
- Cited By
- 3
- References
- 6
- Related Works
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- OpenAlex ID
- https://openalex.org/W4293240624
All OpenAlex metadata
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https://openalex.org/W4293240624Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1049/ell2.12462Digital Object Identifier
- Title
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Building 3D reconstruction of TomoSAR using multiple bounce scattering modelWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-04-28Full publication date if available
- Authors
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Fubo Zhang, Yaqian Yang, Longyong Chen, Ling YangList of authors in order
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https://doi.org/10.1049/ell2.12462Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1049/ell2.12462Direct OA link when available
- Concepts
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Iterative reconstruction, Computer science, Scattering, Artificial intelligence, Computer vision, Physics, OpticsTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2024: 2, 2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.bounce | 62 |
| abstract_inverted_index.common | 29 |
| abstract_inverted_index.method | 72, 87 |
| abstract_inverted_index.model. | 41 |
| abstract_inverted_index.taking | 99 |
| abstract_inverted_index.TomoSAR | 59, 79 |
| abstract_inverted_index.clouds, | 33 |
| abstract_inverted_index.complex | 15 |
| abstract_inverted_index.letter, | 44 |
| abstract_inverted_index.targets | 17 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.accuracy | 98 |
| abstract_inverted_index.achieves | 90 |
| abstract_inverted_index.analysed | 52 |
| abstract_inverted_index.aperture | 3 |
| abstract_inverted_index.building | 55 |
| abstract_inverted_index.critical | 8 |
| abstract_inverted_index.imaging. | 23 |
| abstract_inverted_index.improves | 95 |
| abstract_inverted_index.multiple | 61, 102 |
| abstract_inverted_index.proposed | 71, 86 |
| abstract_inverted_index.(TomoSAR) | 5 |
| abstract_inverted_index.advantage | 100 |
| abstract_inverted_index.affecting | 35 |
| abstract_inverted_index.buildings | 50 |
| abstract_inverted_index.integrity | 96 |
| abstract_inverted_index.multipath | 25, 46 |
| abstract_inverted_index.proposed. | 66 |
| abstract_inverted_index.seriously | 34 |
| abstract_inverted_index.structure | 37 |
| abstract_inverted_index.synthetic | 2 |
| abstract_inverted_index.capability | 20 |
| abstract_inverted_index.phenomenon | 48 |
| abstract_inverted_index.scattering | 26, 47, 63, 103 |
| abstract_inverted_index.Tomographic | 1 |
| abstract_inverted_index.experiments | 76 |
| abstract_inverted_index.superiority | 68 |
| abstract_inverted_index.suppression | 92 |
| abstract_inverted_index.demonstrated | 74 |
| abstract_inverted_index.information. | 104 |
| abstract_inverted_index.interference | 27, 91 |
| abstract_inverted_index.Nevertheless, | 24 |
| abstract_inverted_index.reconstruction | 13, 57 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5110501582 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I4210137199, https://openalex.org/I4210165038 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.8700000047683716 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.82545949 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |