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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
烟台海岸带研究所 [5]
采集方式
OAI收割 [5]
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Space-Ground Remote Sensor Network for Monitoring Suspended Sediments in the Yellow River Basin
期刊论文
OAI收割
SENSORS, 2024, 卷号: 24, 期号: 21, 页码: 13
作者:
Hou, Yingzhuo
;
Ma, Yonggang
;
Hou, Zheng
;
Arif, Maham
;
Li, Jinghu
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/12/06
sensor network
satellite
ground hyperspectral station
suspended sediment concentration
the Yellow River
Monitoring Suspended Sediment Concentration in the Yellow River Estuary and Its Vicinity Waters on the Basis of SDGSAT-1 Multispectral Imager
期刊论文
OAI收割
WATER, 2023, 卷号: 15, 期号: 19, 页码: 16
作者:
Hou, Yingzhuo
;
Xing, Qianguo
;
Zheng, Xiangyang
;
Sheng, Dezhi
;
Wang, Futao
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/01/26
Sustainable Development Goals Science Satellite 1
suspended sediment concentration
the Yellow River estuary
Laizhou Bay
the Bohai Sea
Monitoring Suspended Sediment Concentration in the Yellow River Estuary and Its Vicinity Waters on the Basis of SDGSAT-1 Multispectral Imager
期刊论文
OAI收割
WATER, 2023, 卷号: 15, 期号: 19, 页码: 16
作者:
Hou, Yingzhuo
;
Xing, Qianguo
;
Zheng, Xiangyang
;
Sheng, Dezhi
;
Wang, Futao
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/11/02
Sustainable Development Goals Science Satellite 1
suspended sediment concentration
the Yellow River estuary
Laizhou Bay
the Bohai Sea
A Novel Approach of Monitoring Ulva pertusa Green Tide on the Basis of UAV and Deep Learning
期刊论文
OAI收割
WATER, 2023, 卷号: 15, 期号: 17, 页码: 14
作者:
Xing, Qianguo
;
Liu, Hailong
;
Li, Jinghu
;
Hou, Yingzhuo
;
Meng, Miaomiao
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/11/15
Ulva pertusa
U-Net
deep learning
remote sensing
unmanned aerial vehicle
A Novel Approach of Monitoring Ulva pertusa Green Tide on the Basis of UAV and Deep Learning
期刊论文
OAI收割
WATER, 2023, 卷号: 15, 期号: 17, 页码: 14
作者:
Xing, Qianguo
;
Liu, Hailong
;
Li, Jinghu
;
Hou, Yingzhuo
;
Meng, Miaomiao
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/11/08
Ulva pertusa
U-Net
deep learning
remote sensing
unmanned aerial vehicle