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科研机构
植物研究所 [4]
内容类型
期刊论文 [4]
发表日期
2020 [4]
学科主题
Engineerin... [4]
Imaging Sc... [3]
Remote Sen... [3]
Geography,... [2]
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发表日期:2020
学科主题:Engineering, Electrical & Electronic
内容类型:期刊论文
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A Framework for Land Use Scenes Classification Based on Landscape Photos
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 6124-6141
作者:
Xu, Shiwu
;
Zhang, Shihui
;
Zeng, Jue
;
Li, Tingyu
;
Guo, Qinghua
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/03/01
Semantics
Remote sensing
Image analysis
Image segmentation
Object recognition
Machine learning
Forestry
Deep convolutional neural networks (DCNNs)
landscape photos
land survey
land use scene classification
ADMorph: A 3D Digital Microfossil Morphology Dataset for Deep Learning
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 148744-148756
作者:
Hou, Yemao
;
Cui, Xindong
;
Canul-Ku, Mario
;
Jin, Shichao
;
Hasimoto-Beltran, Rogelio
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/03/01
Three-dimensional displays
Solid modeling
Computational modeling
Machine learning
Two dimensional displays
Biological system modeling
Shape
Archives of digital morphology
data preprocessing
feature extraction
3D microfossil model classification
deep learning
A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 3958-3974
作者:
Jin, Shichao
;
Sun, Yanjun
;
Zhao, Xiaoqian
;
Hu, Tianyu
;
Guo, Qinghua
收藏
  |  
浏览/下载:86/0
  |  
提交时间:2022/03/01
Digital terrain model (DTM)
deep learning
fully convolutional neural network (FCN)
ground filtering
light detection and ranging (LiDAR)
Separating the Structural Components of Maize for Field Phenotyping Using Terrestrial LiDAR Data and Deep Convolutional Neural Networks
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 4, 页码: 2644-2658
作者:
Jin, Shichao
;
Su, Yanjun
;
Gao, Shang
;
Wu, Fangfang
;
Ma, Qin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/03/01
Classification
deep learning
LiDAR
phenotype
segmentation
structural components
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