Scale invariant SURF detector and automatic clustering segmentation for infrared small targets detection
• The SURF detector is introduced to capture the scale invariant feature of small targets. • The target trajectory is segmented by an automatic density clustering process. • The backtracking algorithm is proposed to extract targets and remove clutters synchronously. • The proposed method outperforms...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhang, Haiying [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Umfang: |
10 |
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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:83 ; year:2017 ; pages:7-16 ; extent:10 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.infrared.2017.04.001 |
|---|
| Katalog-ID: |
ELV036072028 |
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| 520 | |a • The SURF detector is introduced to capture the scale invariant feature of small targets. • The target trajectory is segmented by an automatic density clustering process. • The backtracking algorithm is proposed to extract targets and remove clutters synchronously. • The proposed method outperforms other popular methods. | ||
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Scale invariant SURF detector and automatic clustering segmentation for infrared small targets detection |
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• The SURF detector is introduced to capture the scale invariant feature of small targets. • The target trajectory is segmented by an automatic density clustering process. • The backtracking algorithm is proposed to extract targets and remove clutters synchronously. • The proposed method outperforms other popular methods. |
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• The SURF detector is introduced to capture the scale invariant feature of small targets. • The target trajectory is segmented by an automatic density clustering process. • The backtracking algorithm is proposed to extract targets and remove clutters synchronously. • The proposed method outperforms other popular methods. |
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• The SURF detector is introduced to capture the scale invariant feature of small targets. • The target trajectory is segmented by an automatic density clustering process. • The backtracking algorithm is proposed to extract targets and remove clutters synchronously. • The proposed method outperforms other popular methods. |
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Scale invariant SURF detector and automatic clustering segmentation for infrared small targets detection |
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