Neural networks in detection and identification of littoral oil pollution by remote sensing

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

Volumn 3173, Issue , 2004, Pages 977-982

  Lin, Bin ^a   An, Jubai ^a   Brown, Carl ^b   Zhang, Hande ^c  

^a DALIAN MARITIME UNIVERSITY   (China)

^b ENVIRONMENT CANADA   (Canada)

^c Aerial Department of China Marine Supervision   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; LASER BEAMS; MARINE POLLUTION; OIL SPILLS;

AIR-BORNE SENSORS; AIRBORNE LASERS; DETECTION AND IDENTIFICATIONS; NEURAL NETWORK (NN); OCEAN OIL SPILLS; PEARSON CORRELATION COEFFICIENTS; SPECTRAL DATA ANALYSIS; WATER SURFACE;

REMOTE SENSING;

EID: 35048822898     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28647-9_161     Document Type: Article

References (3)

1. Wang, N.L., Pan, X.G.: Application of Matlab/NNTool in Neural Network System. Computer Simulation 4 (2004) 125-128
2. Lin, B., An, J.B.: Study on Detection Method of Spilled Oil at Sea by ANN of Laser Remote Sensing. Marine Environmental Science 1 (2004) 47-49
3. Keiner, E.L.: Estimating Oceanic Chlorophyll Concentrations with Neural Networks. Remote Sensing 1 (1999) 189-194