Pourquoi ce travail est dans la base
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Notice bibliographique
Résumé
Maritime surveillance is an issue of particular interest and importance for countries bordering on the sea. Monitoring and controlling maritime activities are essential for these countries to assert their sovereignty over their waters. Ship detection is one of the most vital elements of maritime control. Traditional surveillance methods suffer from narrow coverage and high cost to achieve comprehensive surveillance. However, Synthetic Aperture Radar (SAR) with its ability to provide images covering wide geographic areas and acquired with a variety of imaging modes, polarization configurations, incidence angles and resolutions may be considered as a promising alternative/complement for existing methods. Quad-polarimetric SAR data has been used successfully for ship detection. However, narrow swath of quad-polarimetric SAR promotes the urgent need to explore ship detectors for dual-polarimetric systems. Compact polarimetric (CP) SAR has high potential of providing more information than linear dual-polarimetric SAR. Even wider swaths will be provided in many of the CP imaging modes of the upcoming Canadian Radarsat Constellation Mission (RCM) SAR to be launched in 2018. In this thesis, the use of CP SAR for ship detection is explored. To fulfill this purpose, two novel contributions are introduced. The first is an investigation study of the possibility and benefits of using pseudo-quad data for improved ship detection. This is achieved by comparing the ship detection performance of dual-polarized CP and pseudo-quad data to linear and circular dual-polarized SAR. The pseudo-quad data is generated by a reconstruction algorithm that aims to reconstruct some elements of the quad-pol covariance matrix from CP data specifically for maritime applications. This study is applied on Radarsat-2 scenes with fine resolution and simulated medium and low resolution RCM data . The effect of spatial resolution, ship orientation and incidence angle on the detection performance has been explored. The second contribution is a new hybrid ship detection algorithm that utilized CP Stokes parameters and some of their derived parameters for ship detection. The pre-screener of the algorithm merges three detection strategies to declare candidate ships and the discriminator uses a CP decomposition technique to discriminate ships from false alarms based on the type of scattering mechanism. The proposed detection algorithm is applied to a number of simulated RCM scenes with medium and low resolutions. The findings of this thesis suggest the usefulness of CP reconstruction for improved ship detection. For the hybrid ship detection algorithm, a detection rate of 100% is obtained for medium resolution data and about 98% for low resolution data.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle