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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
作者:
Xing, Qianguo
;
Liu, Hailong
;
Li, Jinghu
;
Hou, Yingzhuo
;
Meng, Miaomiao
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/15
Ulva pertusa
U-Net
deep learning
remote sensing
unmanned aerial vehicle
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
作者:
Cao, Baojie
;
Gao, Zhiqiang
;
Shang, Weitao
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/01/26
Digital elevation model
Coastal zone
Topography
Bathymetry
Unoccupied surface vehicle
Unoccupied aerial vehicle
Intensified paraglacial slope failures due to accelerating downwasting of a temperate glacier in Mt. Gongga, southeastern Tibetan Plateau
期刊论文
EARTH SURFACE DYNAMICS, 2022, 卷号: 10, 期号: 1, 页码: 23-42
作者:
Zhong, Yan
;
Liu, Qiao
;
Westoby, Matthew
;
Nie, Yong
;
Pellicciotti, Francesca
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/05/16
HIGH-MOUNTAIN ASIA
HAILUOGOU GLACIER
ROCK AVALANCHES
Analysis of UAV lidar information loss and its influence on the estimation accuracy of structural and functional traits in a meadow steppe
期刊论文
ECOLOGICAL INDICATORS, 2022, 卷号: 135
作者:
Zhao, Xiaoxia
;
Su, Yanjun
;
Hu, Tianyu
;
Cao, Mengqi
;
Liu, Xiaoqiang
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
UAV lidar
Information loss
TLS
Structural trait
Functional trait
Mapping topo-bathymetry of transparent tufa lakes using UAV-based photogrammetry and RGB imagery
期刊论文
GEOMORPHOLOGY, 2021, 卷号: 389, 页码: 11
作者:
He, Jinchen
;
Lin, Jiayuan
;
Ma, Mingguo
;
Liao, Xiaohan
收藏
  |  
浏览/下载:127/0
  |  
提交时间:2021/11/05
Tufa lake
Bathymetry
Unmanned aerial vehicle (UAV)
Refraction correction
Band difference model
Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature
期刊论文
PLANT PHENOMICS, 2021, 卷号: 2021, 页码: 14
作者:
Wang, Jian
;
Wu, Bizhi
;
Kohnen, Markus, V
;
Lin, Daqi
;
Yang, Changcai
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/12/28
Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2020, 卷号: 169, 页码: 280-291
作者:
Zhang, Ce
;
Atkinson, Peter M.
;
George, Charles
;
Wen, Zhaofei
;
Diazgranados, Mauricio
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/02/24
Multi-scale deep learning
Residual U-Net
Scale sequence
Semantic segmentation
Paramos
Estimating leaf chlorophyll content of crops via optimal unmanned aerial vehicle hyperspectral data at multi-scales
期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 178, 页码: 16
作者:
Zhu, Wanxue
;
Sun, Zhigang
;
Yang, Ting
;
Li, Jing
;
Peng, Jinbang
收藏
  |  
浏览/下载:114/0
  |  
提交时间:2021/03/15
Unmanned aerial vehicle (UAV)
Hyperspectral
Chlorophyll
Machine learning
Precision agriculture
A novel index to detect green-tide using UAV-based RGB imagery
期刊论文
ESTUARINE COASTAL AND SHELF SCIENCE, 2020, 卷号: 245, 页码: 8
作者:
Jiang, Xiaopeng
;
Gao, Meng
;
Gao, Zhiqiang
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2021/06/16
Unmanned aerial vehicle (UAV)
RGB-FAI
Remote sensing
Green tide
Drift velocity estimation
Prediction of end-of-season tuber yield and tuber set in potatoes using in-season uav-based hyperspectral imagery and machine learning
期刊论文
Sensors (Switzerland), 2020, 卷号: 20, 期号: 18, 页码: 1-13
作者:
Sun, Chen
;
Feng, Luwei
;
Zhang, Zhou
;
Ma, Yuchi
;
Crosby, Trevor
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2020/10/26
hyperspectral imaging
machine learning
tuber yield
tuber set
unmanned aerial vehicles
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