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Fusing Optical and SAR time series for LAI gap filling with multioutput
  Gaussian processes

Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes

Remote Sensing of Environment (RSE), 2019
5 December 2020
L. Pipia
Jordi Munoz-Marí
E. Amin
Santiago Belda
Gustau Camps-Valls
J. Verrelst
ArXiv (abs)PDFHTML

Papers citing "Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes"

6 / 6 papers shown
Title
A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation
A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation
Yuze Wang
Mariana Belgiu
Haiyang Wu
Dandan Zhong
Yangyang Cao
Chao Tao
142
0
0
25 May 2025
Cloud gap-filling with deep learning for improved grassland monitoring
Cloud gap-filling with deep learning for improved grassland monitoringComputers and Electronics in Agriculture (Comput. Electron. Agric.), 2024
Iason Tsardanidis
Alkiviadis Koukos
Vasileios Sitokonstantinou
Thanassis Drivas
C. Kontoes
64
1
0
14 Mar 2024
Combining multitemporal optical and SAR data for LAI imputation with
  BiLSTM network
Combining multitemporal optical and SAR data for LAI imputation with BiLSTM network
W. Zhao
F. Yin
H. Ma
Q. Wu
J. Gómez-Dans
P. Lewis
51
3
0
14 Jul 2023
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture
  Models -- Application to the Detection of Anomalous Crop Development in wheat
  and rapeseed crops
Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed cropsComputers and Electronics in Agriculture (Comput. Electron. Agric.), 2021
Florian Mouret
Mohanad Albughdadi
S. Duthoit
Denis Kouamé
Guillaume Rieu
J. Tourneret
127
20
0
22 Oct 2021
Integrating Domain Knowledge in Data-driven Earth Observation with
  Process Convolutions
Integrating Domain Knowledge in Data-driven Earth Observation with Process ConvolutionsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
D. Svendsen
M. Piles
Jordi Munoz-Marí
D. Luengo
Luca Martino
Gustau Camps-Valls
152
17
0
16 Apr 2021
Machine Learning Information Fusion in Earth Observation: A
  Comprehensive Review of Methods, Applications and Data Sources
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources
S. Salcedo-Sanz
Pedram Ghamisi
M. Piles
M. Werner
L. Cuadra
Á. Moreno-Martínez
E. Izquierdo-Verdiguier
Jordi Munoz-Marí
Amir H. Mosavi
G. Camps-Valls
185
195
0
07 Dec 2020
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