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Two new species of Sigillaria Brongniart from the Wuda Tuff (Asselian: Inner Mongolia, China) and their implications for lepidodendrid life history reconstruction
期刊论文
REVIEW OF PALAEOBOTANY AND PALYNOLOGY, 2021, 卷号: 294, 页码: 11
作者:
D'Antonio, Michael P.
;
Boyce, C. Kevin
;
Wang, Jun(王军)
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/12/13
Arborescent lycopsids
Permian
Paleozoic
Ontogeny
Fossil
Preliminary On-Orbit Performance Test of the First Polarimetric Synchronization Monitoring Atmospheric Corrector (SMAC) On-Board High-Spatial Resolution Satellite Gao Fen Duo Mo (GFDM)
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021
作者:
Li, Zhengqiang
;
Hou, Weizhen
;
Qiu, Zhenwei
;
Ge, Bangyu
;
Xie, Yanqing
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/01/25
Satellites
Aerosols
Spatial resolution
Robot sensing systems
Remote sensing
Atmospheric measurements
Synchronization
Aerosol optical depth (AOD)
atmospheric correction (AC)
column water vapor (CWV)
Gao Fen Duo Mo (GFDM)
polarization
synchronization monitoring atmospheric corrector (SMAC)
Non-interferometric accurate phase imaging via linear-convergence iterative optimization
期刊论文
Optics and Lasers in Engineering, 2021, 卷号: 144
作者:
Huang, Jianhui
;
Pan, An
;
Jin, Huiliang
;
Meng, Guoxiang
;
Ye, Qian
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/05/07
Quantitative phase imaging
Inline holography
Phase retrieval
Phase modulation
Toward Accurate Pixelwise Object Tracking via Attention Retrieval
期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 8553-8566
作者:
Zhang, Zhipeng
;
Liu, Yufan
;
Li, Bin
;
Hu, Weiming
;
Peng, Houwen
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  |  
浏览/下载:4/0
  |  
提交时间:2022/06/14
A Quantile Approach for Retrieving the "Core Urban-Suburban-Rural" (USR) Structure Based on Nighttime Light
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 16
作者:
Huang, Yaohuan
;
Wu, Chengbin
;
Chen, Mingxing
;
Yang, Jie
;
Ren, Hongyan
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/03/15
nighttime lights (NTL)
quantile approach
subcategories
core urban-suburban-rural (USR)
A data fusion modeling framework for retrieval of land surface temperature from landsat8 and modis data
会议论文
作者:
Zhao, Guohui
;
Zhang, Yaonan
;
Tan, Junlei
;
Li, Cong
;
Ren, Yanrun
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/12/18
Atmospheric temperature
Climate change
Critical current density (superconductivity)
Data fusion
Image resolution
Mean square error
Radiometers
Surface measurement
Surface propertiesComplementary characteristics
Environmental change
Index of agreements
Root mean square errors
Spatial and temporal resolutions
Spatio-temporal dataset
Structural similarity indices (SSIM)
Temporal information
A data fusion modeling framework for retrieval of land surface temperature from landsat8 and modis data
期刊论文
Sensors (Switzerland), 2020, 卷号: 20, 期号: 15, 页码: 1-23
作者:
Zhao, Guohui
;
Zhang, Yaonan
;
Tan, Junlei
;
Li, Cong
;
Ren, Yanrun
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/11/14
Atmospheric temperature
Climate change
Critical current density (superconductivity)
Data fusion
Image resolution
Mean square error
Radiometers
Surface measurement
Surface properties
Complementary characteristics
Environmental change
Index of agreements
Root mean square errors
Spatial and temporal resolutions
Spatio-temporal dataset
Structural similarity indices (SSIM)
Temporal information
Quantifying the Effect of Registration Error on Spatio-Temporal Fusion
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 487-503
作者:
Tang, Yijie
;
Wang, Qunming
;
Zhang, Ka
;
Atkinson, Peter M.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2020/05/19
Landsat
MODIS
registration error
remote sensing data
spatio-temporal fusion
Cross-Modality Bridging and Knowledge Transferring for Image Understanding
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2675-2685
作者:
Yan, Chenggang
;
Li, Liang
;
Zhang, Chunjie
;
Liu, Bingtao
;
Zhang, Yongdong
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2019/12/16
Object and scene recognition
image semantic search
cross-modality bridging
multi-task learning
knowledge transferring
Image Retrieval Based on Learning to Rank and Multiple Loss
期刊论文
Isprs International Journal of Geo-Information, 2019, 卷号: 8, 期号: 9, 页码: 22
作者:
L.L.Fan
;
H.W.Zhao
;
H.Y.Zhao
;
P.P.Liu
;
H.S.Hu
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/08/24
multiple loss function,computer vision,deep image retrieval,learning,to rank,deep learning,object retrieval
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