Pixel-level detection and classification of marine oil spills in aerial imagery with annotation uncertainty handling.

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Bibliographic Details
Title: Pixel-level detection and classification of marine oil spills in aerial imagery with annotation uncertainty handling.
Authors: Tavares LGC; Electrical Engineering Program, Federal University of Rio de Janeiro, PO Box 68504, Rio de Janeiro, 22941-972, RJ, Brazil. Electronic address: luiz.tavares@smt.ufrj.br., Passos WL; Electrical Engineering Program, Federal Center for Technological Education, Rio de Janeiro, 20271-110, RJ, Brazil; Dept. of Control and Automation Systems, Federal Center for Technological Education, Nova Iguaçu, 26041-271, RJ, Brazil., Martins BC; Electrical Engineering Program, Federal University of Rio de Janeiro, PO Box 68504, Rio de Janeiro, 22941-972, RJ, Brazil., Rodrigues MP; Electrical Engineering Program, Federal University of Rio de Janeiro, PO Box 68504, Rio de Janeiro, 22941-972, RJ, Brazil., da Silva EAB; Electrical Engineering Program, Federal University of Rio de Janeiro, PO Box 68504, Rio de Janeiro, 22941-972, RJ, Brazil; Dept. of Electronics and Computer Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, 21941-909, RJ, Brazil., Netto SL; Electrical Engineering Program, Federal University of Rio de Janeiro, PO Box 68504, Rio de Janeiro, 22941-972, RJ, Brazil; Dept. of Electronics and Computer Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, 21941-909, RJ, Brazil.
Source: Marine pollution bulletin [Mar Pollut Bull] 2026 Feb; Vol. 223, pp. 118975. Date of Electronic Publication: 2025 Nov 21.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 0260231 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3363 (Electronic) Linking ISSN: 0025326X NLM ISO Abbreviation: Mar Pollut Bull Subsets: MEDLINE
Database: MEDLINE Ultimate
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