scholarly journals Oil Spill Pollution Automatic Detection from MultiSAR Satellite Data Using Genetic Algorithm

10.5772/58572 ◽  
2014 ◽  
Author(s):  
Maged Marghany
Keyword(s):  
Genetic Algorithm ◽  
Oil Spill ◽  
Satellite Data ◽  
Automatic Detection

scholarly journals Genetic algorithm for oil spill automatic detection using synthetic aperture radar

2015 ◽  
Vol 17 (4) ◽  
pp. 858-869 ◽  
Keyword(s):  
Genetic Algorithm ◽  
Oil Spill ◽  
Roc Curve ◽  
Automatic Detection ◽  
Synthetic Aperture ◽  
Single Beam ◽  
Oil Slick ◽  
Surrounding Environment ◽  
Detection Tool ◽  
Operational Characteristics

<div> <p>This work has exploited a Genetic algorithm for oil spill automatic detection. This is implemented to sequences of RADARSAT-2 SAR&nbsp; ScanSAR narrow single beam data in the Gulf of Mexico. The study shows that the implementation of crossover is generated an accurate oil slick pattern. This is confirmed by using the receiver&ndash;operational characteristics (ROC) curve. The ROC curve endorses the existence of oil slick footprints with 90%, which is larger than other surrounding environment features. It can be pronounced that ScanSAR Narrow single beam is the tremendous promise sensor for oil spill detection and survey. In conclusion, the Genetic Algorithm can be used as an automatic detection tool for oil spill.</p> </div> <p>&nbsp;</p>

Semi-automatic detection of buried rebar in GPR data using a genetic algorithm

2020 ◽  
Vol 114 ◽  
pp. 103186 ◽  
Author(s):  
Yanhui Wang ◽  
Guangyan Cui ◽  
Jun Xu
Keyword(s):  
Genetic Algorithm ◽  
Automatic Detection
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