Deep Low-Rank and Sparse Patch-Image Network for Infrared Dim and Small Target Detection Article Swipe
Xinyu Zhou
,
Peng Li
,
Ye Zhang
,
Xin Lu
,
Yue Hu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/tgrs.2023.3288574
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1109/tgrs.2023.3288574
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
Related Topics
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tgrs.2023.3288574
- OA Status
- gold
- Cited By
- 17
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4382407262
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4382407262Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/tgrs.2023.3288574Digital Object Identifier
- Title
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Deep Low-Rank and Sparse Patch-Image Network for Infrared Dim and Small Target DetectionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-01Full publication date if available
- Authors
-
Xinyu Zhou, Peng Li, Ye Zhang, Xin Lu, Yue HuList of authors in order
- Landing page
-
https://doi.org/10.1109/tgrs.2023.3288574Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://hdl.handle.net/2086/23048Direct OA link when available
- Concepts
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Computer science, Artificial intelligence, Convolutional neural network, Interpretability, Pattern recognition (psychology), Rank (graph theory), Thresholding, Image (mathematics), Sparse approximation, Artificial neural network, Mathematics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
17Total citation count in OpenAlex
- Citations by year (recent)
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2025: 8, 2024: 8, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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57Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works_count | 57 |
| abstract_inverted_index.be | 18 |
| abstract_inverted_index.by | 20 |
| abstract_inverted_index.is | 6 |
| abstract_inverted_index.to | 3 |
| abstract_inverted_index.DOI | 23 |
| abstract_inverted_index.The | 0, 13 |
| abstract_inverted_index.can | 17 |
| abstract_inverted_index.the | 7, 22 |
| abstract_inverted_index.file | 1 |
| abstract_inverted_index.peer | 10 |
| abstract_inverted_index.this | 4 |
| abstract_inverted_index.final | 9, 15 |
| abstract_inverted_index.found | 19 |
| abstract_inverted_index.link. | 24 |
| abstract_inverted_index.record | 5 |
| abstract_inverted_index.version | 16 |
| abstract_inverted_index.attached | 2 |
| abstract_inverted_index.author's | 8 |
| abstract_inverted_index.reviewed | 11 |
| abstract_inverted_index.version. | 12 |
| abstract_inverted_index.following | 21 |
| abstract_inverted_index.Publisher's | 14 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.97387552 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |