Comparative algorithms for oil spill detection from multi mode RADARSAT-1 SAR satellite data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6783 LNCS, Issue PART 2, 2011, Pages 318-329

  Marghany, Maged ^a   Hashim, Mazlan ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

Mahalanobis classification; neural network (NN); Oil Spill; RADARSAT 1 SAR data

Indexed keywords

AUTOMATIC DETECTION; MAHALANOBIS; MAHALANOBIS CLASSIFICATION; MALACCA STRAIT; MULTIMODES; NN ALGORITHMS; OIL SPILL DETECTION; RADARSAT 1; RECEIVER OPERATOR CHARACTERISTICS; SAR DATA; SATELLITE DATA; SEA ROUGHNESS; SEA SURFACES; STANDARD DEVIATION; SUPERVISED CLASSIFICATION; WIDE BEAM; NEURAL NETWORK (NN); RADARSAT-1 SAR; SEA SURFACE ROUGHNESS;

ALGORITHMS; MATHEMATICAL OPERATORS; NEURAL NETWORKS; SURFACE ROUGHNESS; SURFACE WATERS; SYNTHETIC APERTURE RADAR; OIL SPILLS;

OIL SPILLS; SPACE-BASED RADAR;

EID: 79960319446     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21887-3_25     Document Type: Conference Paper

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