A Contrario Oil Tank Detection with Patch Match Completion
Résumé
The energy sector is a key industry in the global economy and monitoring oil storage provides valuable insights into the economic state of a country. Our aim is to detect oil tank farms as accurately as possible using Sentinel-2 images.
An a contrario clustering method is used to group by density the result of a circle detection step. Then, a patch-match procedure is used to complete the tank detection. Although most existing methods are designed to work on high-resolution images, the proposed method is designed for low-resolution images; we also propose an adaptation to high-resolution images.
Domaines
Vision par ordinateur et reconnaissance de formes [cs.CV] Intelligence artificielle [cs.AI] Synthèse d'image et réalité virtuelle [cs.GR] Recherche d'information [cs.IR] Théorie de l'information [cs.IT] Apprentissage [cs.LG] Traitement des images [eess.IV] Traitement du signal et de l'image [eess.SP]
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IGARSS_2021_PatchCompletion_final (1).pdf (1.71 Mo)
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IGARSS_2021_PatchCompletion_final (1).zip (2.46 Mo)
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Origine | Fichiers produits par l'(les) auteur(s) |
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Origine | Fichiers produits par l'(les) auteur(s) |
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