Detection and discrimination between oil spills and look-alike phenomena through neural networks

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 62, Issue 4, 2007, Pages 264-270

  Topouzelis, K ^a   Karathanassi, V ^b   Pavlakis, P ^c   Rokos, D ^b  

^a JOINT RESEARCH CENTRE   (Italy)

^b NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^c INSTITUTE OF OCEANOGRAPHY   (Greece)

Author keywords

Neural networks; Oil spill; Pollution; SAR; Training

Indexed keywords

CLOUDS; GRAVITATION; OIL SPILLS; REMOTE SENSING; SYNTHETIC APERTURE RADAR; WATER POLLUTION;

BACKSCATTER VALUES; DARK FORMATION DETECTION; SHORT GRAVITY SEA WAVES;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; BACKSCATTER; DETECTION METHOD; MARINE ENVIRONMENT; MARINE POLLUTION; OIL SPILL; SYNTHETIC APERTURE RADAR;

EID: 34548225367     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2007.05.003     Document Type: Article

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