Fully automatic oil spill detection from COSMO-SkyMed imagery using a neural network approach

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8536, Issue , 2012, Pages

  Avezzano, Ruggero G ^a   Del Frate, Fabio ^a   Latini, Daniele ^a  

^a UNIVERSITY OF ROME TOR VERGATA   (Italy)

Author keywords

COSMO SkyMed; Image segmentation; MLP neural networks; Oil spill detection; Pulse coupled neural networks (PCNN); SAR; X band

Indexed keywords

COSMO-SKYMED; MLP NEURAL NETWORKS; OIL SPILL DETECTION; PULSE COUPLED NEURAL NETWORK; SAR; X-BAND;

AUTOMATION; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; MARINE POLLUTION; NEURAL NETWORKS; OIL SPILLS; PERSONNEL TRAINING;

SYNTHETIC APERTURE RADAR;

EID: 84875680364     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.976830     Document Type: Conference Paper

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