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Sea Surface Wind Speed Retrieval From Textures in Synthetic Aperture Radar Imagery
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 11
作者:
Zhou, Lizhang
;
Zheng, Gang
;
Yang, Jingsong
;
Li, Xiaofeng
;
Zhang, Bin
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2022/02/18
Radar polarimetry
Sea surface
Oceanography
Atmospheric modeling
Surface waves
Atmospheric waves
Wind speed
Entropy
gray-level cooccurrence matrix (GLCM)
synthetic aperture radar (SAR)
sea surface wind speed (SSWS)
textures
AlgaeNet: A Deep-Learning Framework to Detect Floating Green Algae From Optical and SAR Imagery
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 2782-2796
作者:
Gao, Le
;
Li, Xiaofeng
;
Kong, Fanzhou
;
Yu, Rencheng
;
Guo, Yuan
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  |  
浏览/下载:25/0
  |  
提交时间:2022/07/18
Algae
MODIS
Synthetic aperture radar
Optical sensors
Optical imaging
Marine vehicles
Spatial resolution
Deep learning (DL)
green algae detection
satellite remote sensing
The Fusion of Physical, Textural, and Morphological Information in SAR Imagery for Hurricane Wind Speed Retrieval Based on Deep Learning
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13
作者:
Mu, Shanshan
;
Li, Xiaofeng
;
Wang, Haoyu
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/07/18
Hurricanes
Synthetic aperture radar
Wind speed
Radar polarimetry
Sea surface
Sea measurements
Data models
Deep learning
hurricane wind
synthetic aperture radar (SAR)
Environment Monitoring of Shanghai Nanhui Intertidal Zone With Dual-Polarimetric SAR Data Based on Deep Learning
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 18
作者:
Liu, Guangyang
;
Liu, Bin
;
Zheng, Gang
;
Li, Xiaofeng
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  |  
浏览/下载:7/0
  |  
提交时间:2023/01/12
Deep convolutional neural networks (DCNNs)
deep learning
environment monitoring
intertidal zone
MB-U-2-ACNet
synthetic aperture radar (SAR) imagery
A Deep Learning Model for Green Algae Detection on SAR Images
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 14
作者:
Guo, Yuan
;
Gao, Le
;
Li, Xiaofeng
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/01/04
Green products
Algae
Radar polarimetry
Tides
Ocean temperature
Feature extraction
Sea surface
Deep learning (DL)
green algae
Sentinel-1 synthetic aperture radar (SAR) image
Yellow Sea
Allometry-based estimation of forest aboveground biomass combining LiDAR canopy height attributes and optical spectral indexes
期刊论文
FOREST ECOSYSTEMS, 2022, 卷号: 9
作者:
Yang, Qiuli
;
Su, Yanjun
;
Hu, Tianyu
;
Jin, Shichao
;
Liu, Xiaoqiang
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
Forest aboveground biomass
Drone LiDAR
Allometric relationship
Power law
Tree height
Vegetation index
Extending a canopy reflectance model for mangroves: A case study in south east queensland, Australia
期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2022, 卷号: 316
作者:
Niu, Chunyue
;
Woodgate, William
;
Phinn, Stuart R.
;
Roelfsema, Chris M.
;
Su, Yanjun
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/07
Canopy reflectance modelling
Mangroves
Radiative transfer model
Fractional cover
Woody material
Tropical Cyclone Winds and Inflow Angle Asymmetry From SAR Imagery
期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2021, 卷号: 48, 期号: 20, 页码: 9
作者:
Zhang, Guosheng
;
Li, Xiaofeng
;
Perrie, William
;
Zhang, Jun A.
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/04/12
Examining rice distribution and cropping intensity in a mixed single- and double-cropping region in South China using all available Sentinel 1/ 2 images
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 101, 页码: 15
作者:
He, Yingli
;
Dong, Jinwei
;
Liao, Xiaoyong
;
Sun, Li
;
Wang, Zhipan
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2021/08/19
Rice mapping
Cropping intensity
Sentinel-1
2
Time series
Google Earth Engine
Observation of Surface Displacement Associated with Rapid Urbanization and Land Creation in Lanzhou, Loess Plateau of China with Sentinel-1 SAR Imagery
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 17
作者:
Wei, Yuming
;
Liu, Xiaojie
;
Zhao, Chaoying
;
Tomas, Roberto
;
Jiang, Zhuo
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/10/14
Loess Plateau
Lanzhou
mountain excavation and city construction
surface displacement
InSAR
Sentinel-1
DEM errors
remote sensing images
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