SAR_IMAGES

作品数：93被引量：190H指数：6
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A fast,edge-preserving,distance-regularized model with bilateral filtering for oil spill segmentation of SAR images被引量：3
《Journal of Oceanology and Limnology》2021年第4期1198-1210,共13页Wandi WANG Hui SHENG Yanlong CHEN Shanwei LIU Jijun MAO Zhe ZENG Jianhua WAN 
Supported by the National Key R&D Program of China(No.2017YFC1405600);the National Natural Science Foundation of China(Nos.41776182,42076182);the Natural Science Foundation of Shandong Province(No.ZR2016DM16)。
Marine oil spills are among the most significant sources of marine pollution.Synthetic aperture radar(SAR)has been used to improve oil spill observations because of its advantages in oil spill detection and identifica...
关键词：level sets bilateral filter marine oil spill segmentation synthetic aperture radar(SAR)imagery 
Detection of ocean internal waves based on Faster R-CNN in SAR images被引量：6
《Journal of Oceanology and Limnology》2020年第1期55-63,共9页BAO Sude MENG Junmin SUN Lina LIU Yongxin 
Supported by the National Natural Science Foundation of China(No.61471136);the Special Project for Global Change and Air-sea Interaction of Ministry of Natural Resources(No.GASI-02-SCS-YGST2-04);the Chinese Association of Ocean Mineral Resources R&D(No.DY135-E2-4)
Ocean internal waves appear as irregular bright and dark stripes on synthetic aperture radar(SAR)remote sensing images.Ocean internal waves detection in SAR images consequently constituted a difficult and popular rese...
关键词：ocean internal waves FASTER regions with convolutional NEURAL NETWORK features (Faster R-CNN) convolutional NEURAL NETWORK synthetic APERTURE radar (SAR) image region proposal NETWORK (RPN) 
Object-based classification of cloudy coastal areas using medium-resolution optical and SAR images for vulnerability assessment of marine disaster被引量：2
《Journal of Oceanology and Limnology》2019年第6期1955-1970,共16页YANG Fengshuo YANG Xiaomei WANG Zhihua LU Chen LI Zhi LIU Yueming 
Supported by the National Key Research and Development Program of China(No.2016YFC1402003);the CAS Earth Big Data Science Project(No.XDA19060303);the Innovation Project of the State Key Laboratory of Resources and Environmental Information System(No.O88RAA01YA)
Efficient and accurate access to coastal land cover information is of great significance for marine disaster prevention and mitigation.Although the popular and common sensors of land resource satellites provide free a...
关键词：COASTAL area marine DISASTER VULNERABILITY assessment remote sensing LAND use/cover object-based image analysis(OBIA) 
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