基于SAR快速提取浒苔信息应用研究
Application study on quick extraction of Entermorpha prolifera information using SAR data
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摘要: 2008年6月以来青岛近海出现的大面积浒苔对青岛奥帆赛场造成严重影响。如何快速、准确地发现浒苔,对治理浒苔具有显著的指导作用。采用卫星遥感数据,尤其是SAR数据对浒苔进行监测,运用一种基于区域增长面向对象的影像尺度分割方法,调整影像的分割尺度,快速提取浒苔信息,在浒苔遥感监测中效果显著。Abstract: Entermorpha prolifera blooming of a large area in Qingdao sea since June 2008 has seriously impacted Olympic sailing venue.How to fast and correctly monitor Entermorpha prolifera candirect to deal with Entermorpha prolifera cleaning.By using SAR data, a segmentation method is proposed based on object-oriented region growth, which can adjust image segmentation scale.Entermorpha prolifera information can beea extracted thus.The results show that this method is useful for Entermorpha prolifera monitoring.
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Key words:
- Intermorpha prolifera monitoring /
- remote sensing /
- SAR /
- object-oriented /
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SEELYE Martin.海洋遥感导论[M].蒋兴伟等译.北京:海洋出版社,2008. BAATZ M,SCHAPE A.Muhiresolution segmentation:an optimization approach for high quality multi-scale image segmentation[J].Angewandte Geogaraphische Information Severbeitung,2000(12):12-23. NEUMANN A.Graphical Gaussian shape models and their application to image segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2003,25(3):316-329. 谭衙霖,刘正军,沈伟.一种面向对象的遥感影像多尺度分割方法[J].北京交通大学学报,2007,(31):111-115. 赵英时,陈冬梅,杨立明.等.遥感应用分析原理与方法[M].北京:科学出版社,2003. 邹亚荣,林明森,王华.对东沙岛基于融合信息高分辨遥感影像分类研究[J].海洋学报,2006(1):56-61. 刘亚岚,魏成阶,武晓波.印度洋海啸灾害遥感监测与评估[J].遥感学报,2005,9(4):494-497. -
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