{"title":"基于遗传算法的合成孔径雷达溢油自动检测","authors":"M. Marghany, S. Mansor","doi":"10.30955/gnj.001428","DOIUrl":null,"url":null,"abstract":"This work has exploited a Genetic algorithm for oil spill automatic detection. This is implemented to sequences of RADARSAT-2 SAR 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–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.","PeriodicalId":55087,"journal":{"name":"Global Nest Journal","volume":"17 1","pages":"858-869"},"PeriodicalIF":1.2000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"GENETIC ALGORITHM FOR OIL SPILL AUTOMATIC DETECTION USING SYNTHETIC APERTURE RADAR\",\"authors\":\"M. Marghany, S. Mansor\",\"doi\":\"10.30955/gnj.001428\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work has exploited a Genetic algorithm for oil spill automatic detection. This is implemented to sequences of RADARSAT-2 SAR 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–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.\",\"PeriodicalId\":55087,\"journal\":{\"name\":\"Global Nest Journal\",\"volume\":\"17 1\",\"pages\":\"858-869\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Global Nest Journal\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.30955/gnj.001428\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Nest Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.30955/gnj.001428","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
GENETIC ALGORITHM FOR OIL SPILL AUTOMATIC DETECTION USING SYNTHETIC APERTURE RADAR
This work has exploited a Genetic algorithm for oil spill automatic detection. This is implemented to sequences of RADARSAT-2 SAR 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–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.
期刊介绍:
Global Network of Environmental Science and Technology Journal (Global NEST Journal) is a scientific source of information for professionals in a wide range of environmental disciplines. The Journal is published both in print and online.
Global NEST Journal constitutes an international effort of scientists, technologists, engineers and other interested groups involved in all scientific and technological aspects of the environment, as well, as in application techniques aiming at the development of sustainable solutions. Its main target is to support and assist the dissemination of information regarding the most contemporary methods for improving quality of life through the development and application of technologies and policies friendly to the environment