39 results on '"Camps-Valls, Gustau"'
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2. Role of locality, fidelity and symmetry regularization in learning explainable representations
3. Discovering causal relations and equations from data
4. Pairwise causal discovery with support measure machines
5. Land use classification over smallholding areas in the European Common Agricultural Policy framework
6. Estimation of vegetation traits with kernel NDVI
7. Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness
8. A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images
9. Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning
10. Learning main drivers of crop progress and failure in Europe with interpretable machine learning
11. Spatial homogeneity from temporal stability: Exploiting the combined hyper-frequent revisit of Terra and Aqua to guide Earth System Science
12. Retrieval of aboveground crop nitrogen content with a hybrid machine learning method
13. Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud
14. Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data
15. Deep Gaussian processes for biogeophysical parameter retrieval and model inversion
16. Active emulation of computer codes with Gaussian processes – Application to remote sensing
17. A global canopy water content product from AVHRR/Metop
18. Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes
19. Synergistic integration of optical and microwave satellite data for crop yield estimation
20. Statistical retrieval of atmospheric profiles with deep convolutional neural networks
21. A carbon sink-driven approach to estimate gross primary production from microwave satellite observations
22. Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
23. A methodology to derive global maps of leaf traits using remote sensing and climate data
24. Group Importance Sampling for particle filtering and MCMC
25. Sensitivity maps of the Hilbert–Schmidt independence criterion
26. Signal-to-noise ratio in reproducing kernel Hilbert spaces
27. Physics-aware Gaussian processes in remote sensing
28. Derivation of global vegetation biophysical parameters from EUMETSAT Polar System
29. Assessing the relationship between microwave vegetation optical depth and gross primary production
30. The Recycling Gibbs sampler for efficient learning
31. Randomized kernels for large scale Earth observation applications
32. Hyperspectral dimensionality reduction for biophysical variable statistical retrieval
33. Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring
34. Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
35. Spectral band selection for vegetation properties retrieval using Gaussian processes regression
36. Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review
37. Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison
38. Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data
39. Spectral alignment of multi-temporal cross-sensor images with automated kernel canonical correlation analysis
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