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A Novel Approach of Monitoring Ulva pertusa Green Tide on the Basis of UAV and Deep Learning 期刊论文
WATER, 2023, 卷号: 15, 期号: 17, 页码: 14
Authors:  Xing, Qianguo;  Liu, Hailong;  Li, Jinghu;  Hou, Yingzhuo;  Meng, Miaomiao;  Liu, Chunli
Favorite  |  View/Download:195/0  |  Submit date:2023/11/15
Ulva pertusa  U-Net  deep learning  remote sensing  unmanned aerial vehicle  
基于 GEE 的黄海绿潮遥感监测及生态环境因子响应研究 学位论文
工学博士: 中国科学院大学, 2023
Authors:  李冬雪
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谷歌地球引擎,绿潮,遥感,生态环境因子,叶绿素 a 浓度  
基于无人船与无人机的SBT-DEM构建方法及应用研究 学位论文
: 中国科学院大学, 2023
Authors:  曹豹杰
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无人机  无人船  数字高程模型  海岸带  UAV  USV  DEM  Coastal Zone  
Methodology for fine-scale seamless elevation model construction using unoccupied aerial and surface vehicles 期刊论文
ESTUARINE COASTAL AND SHELF SCIENCE, 2023, 卷号: 282, 页码: 10
Authors:  Cao, Baojie;  Gao, Zhiqiang;  Shang, Weitao
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Digital elevation model  Coastal zone  Topography  Bathymetry  Unoccupied surface vehicle  Unoccupied aerial vehicle  
Estimating Chemical Oxygen Demand in estuarine urban rivers using unmanned aerial vehicle hyperspectral images 期刊论文
ECOLOGICAL INDICATORS, 2022, 卷号: 139, 页码: 11
Authors:  Cai, Jiannan;  Meng, Ling;  Liu, Hailong;  Chen, Jun;  Xing, Qianguo
Favorite  |  View/Download:207/0  |  Submit date:2022/07/26
Hyperspectral  Chemical Oxygen Demand (COD)  Urban river  1D-CNN  UAV  
基于多源卫星遥感的黄海绿潮多尺度观测与变化研究 学位论文
理学硕士, 山东省烟台市中国科学院烟台海岸带研究所: 中国科学院大学 中国科学院烟台海岸带研究所, 2022
Authors:  王鑫华
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多源遥感  绿潮  多尺度  空间分辨率  覆盖面积  
基于深度学习的无人机影像夜光藻赤潮提取方法 期刊论文
计算机应用, 2022, 卷号: 42, 期号: 9, 页码: 2969-2974
Authors:  李敬虎;  邢前国;  郑向阳;  李琳;  王丽丽
Favorite  |  View/Download:13/0  |  Submit date:2024/01/26
夜光藻  赤潮  无人机  深度学习  UNet++  视频处理  
基于无人机与卫星图像的大型绿藻孔石莼(U.lactuca)遥感估算研究 期刊论文
热带海洋学报, 2021, 页码: 9
Authors:  孟苗苗;  郑向阳;  邢前国;  刘海龙
Adobe PDF(1118Kb)  |  Favorite  |  View/Download:600/255  |  Submit date:2021/12/01
无人机  卫星影像  大型绿藻  亚像素覆盖度  
A new oil spill detection algorithm based on Dempster-Shafer evidence theory 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2021, 页码: 14
Authors:  Zhang, Tianlong;  Guo, Jie;  Xu, Chenqi;  Zhang, Xi;  Wang, Chuanyuan;  Li, Baoquan
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synthetic aperture radar (SAR) data  oil spill detection  subjective Bayesian  Faster-region convolutional neural networks (RCNN)  Dempster-Shafer evidence theory  
Experimental research on oil film thickness and its microwave scattering during emulsification 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2021, 卷号: 40, 期号: 4, 页码: 1361-1376
Authors:  Guo, Jie;  Xu, Chenqi;  Liu, Genwang;  Zhang, Xi;  Meng, Junmin;  Ren, Guangbo
View  |  Adobe PDF(3093Kb)  |  Favorite  |  View/Download:249/84  |  Submit date:2022/07/26
: crude oil emulsifi cation  normalized radar cross section (NRCS)  moisture content  oil film thickness  damping ratio