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Unlocking the Potential: Multi-task Deep Learning for Spaceborne
  Quantitative Monitoring of Fugitive Methane Plumes

Unlocking the Potential: Multi-task Deep Learning for Spaceborne Quantitative Monitoring of Fugitive Methane Plumes

23 January 2024
Guoxin Si
Shiliang Fu
Wei Yao
ArXivPDFHTML

Papers citing "Unlocking the Potential: Multi-task Deep Learning for Spaceborne Quantitative Monitoring of Fugitive Methane Plumes"

2 / 2 papers shown
Title
Fast and Accurate Retrieval of Methane Concentration from Imaging
  Spectrometer Data Using Sparsity Prior
Fast and Accurate Retrieval of Methane Concentration from Imaging Spectrometer Data Using Sparsity Prior
Markus Foote
P. Dennison
A. Thorpe
D. Thompson
Siraput Jongaramrungruang
C. Frankenberg
S. Joshi
11
68
0
06 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
411
75,972
0
18 May 2015
1