Small infrared target detection based on low-rank and sparse representation
• A low-rank and sparse representation model named as LRSR is proposed. • The proposed model combines the low-rank representation and sparse representation. • Based on the LRSR, a infrared small target detection method is proposed. • The presented method yields high detection probability and robustn...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
He, YuJie [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
Low rank and sparse representation |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: 274: Low-dose aspirin improves trophoblastic function in early-onset pre-eclampsia - da Silva Costa, Fabricio ELSEVIER, 2014, an international research journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:68 ; year:2015 ; pages:98-109 ; extent:12 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.infrared.2014.10.022 |
|---|
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ELV023886986 |
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| 520 | |a • A low-rank and sparse representation model named as LRSR is proposed. • The proposed model combines the low-rank representation and sparse representation. • Based on the LRSR, a infrared small target detection method is proposed. • The presented method yields high detection probability and robustness to noise. | ||
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Small infrared target detection based on low-rank and sparse representation |
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• A low-rank and sparse representation model named as LRSR is proposed. • The proposed model combines the low-rank representation and sparse representation. • Based on the LRSR, a infrared small target detection method is proposed. • The presented method yields high detection probability and robustness to noise. |
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• A low-rank and sparse representation model named as LRSR is proposed. • The proposed model combines the low-rank representation and sparse representation. • Based on the LRSR, a infrared small target detection method is proposed. • The presented method yields high detection probability and robustness to noise. |
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• A low-rank and sparse representation model named as LRSR is proposed. • The proposed model combines the low-rank representation and sparse representation. • Based on the LRSR, a infrared small target detection method is proposed. • The presented method yields high detection probability and robustness to noise. |
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Small infrared target detection based on low-rank and sparse representation |
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