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Emma Izquierdo Verdiguier
Emma Izquierdo Verdiguier
University of Natural Resources and Life Science (Boku)
Bestätigte E-Mail-Adresse bei boku.ac.at
Titel
Zitiert von
Zitiert von
Jahr
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources
S Salcedo-Sanz, P Ghamisi, M Piles, M Werner, L Cuadra, ...
Information Fusion 63, 256-272, 2020
1272020
Understanding deep learning in land use classification based on Sentinel-2 time series
M Campos-Taberner, FJ García-Haro, B Martínez, E Izquierdo-Verdiguier, ...
Scientific reports 10 (1), 17188, 2020
1152020
An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing
E Izquierdo-Verdiguier, R Zurita-Milla
International Journal of Applied Earth Observation and Geoinformation 88, 102051, 2020
932020
Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud
Á Moreno-Martínez, E Izquierdo-Verdiguier, MP Maneta, G Camps-Valls, ...
Remote Sensing of Environment 247, 111901, 2020
762020
A cloud-based multi-temporal ensemble classifier to map smallholder farming systems
R Aguilar, R Zurita-Milla, E Izquierdo-Verdiguier, R A. de By
Remote sensing 10 (5), 729, 2018
622018
Encoding invariances in remote sensing image classification with SVM
E Izquierdo-Verdiguier, V Laparra, L Gomez-Chova, G Camps-Valls
IEEE Geoscience and Remote Sensing Letters 10 (5), 981-985, 2012
582012
Evaluating the performance of a random forest kernel for land cover classification
A Zafari, R Zurita-Milla, E Izquierdo-Verdiguier
Remote sensing 11 (5), 575, 2019
462019
Detecting geothermal anomalies and evaluating LST geothermal component by combining thermal remote sensing time series and land surface model data
M Romaguera, RG Vaughan, J Ettema, E Izquierdo-Verdiguier, ...
Remote Sensing of Environment 204, 534-552, 2018
452018
Remote sensing applications in sugarcane cultivation: A review
J Som-Ard, C Atzberger, E Izquierdo-Verdiguier, F Vuolo, M Immitzer
Remote sensing 13 (20), 4040, 2021
432021
Semisupervised kernel feature extraction for remote sensing image analysis
E Izquierdo-Verdiguier, L Gomez-Chova, L Bruzzone, G Camps-Valls
IEEE transactions on geoscience and remote sensing 52 (9), 5567-5578, 2014
432014
Land cover classification of VHR airborne images for citrus grove identification
JA López, EI Verdiguier, LG Chova, JM Marí, JZR Barreiro, GC Valls, ...
ISPRS journal of photogrammetry and remote sensing 66 (1), 115-123, 2011
342011
Triclustering georeferenced time series for analyzing patterns of intra-annual variability in temperature
X Wu, R Zurita-Milla, E Izquierdo Verdiguier, MJ Kraak
Annals of the American Association of Geographers 108 (1), 71-87, 2018
252018
Spectral clustering with the probabilistic cluster kernel
E Izquierdo-Verdiguier, R Jenssen, L Gómez-Chova, G Camps-Valls
Neurocomputing 149, 1299-1304, 2015
242015
Comparison of harmonic analysis of time series (HANTS) and multi-singular spectrum analysis (M-SSA) in reconstruction of long-gap missing data in NDVI time series
HR Ghafarian Malamiri, H Zare, I Rousta, H Olafsson, ...
Remote Sensing 12 (17), 2747, 2020
232020
Growing stock volume from multi-temporal landsat imagery through google earth engine
S Sanchez-Ruiz, A Moreno-Martinez, E Izquierdo-Verdiguier, M Chiesi, ...
International Journal of Applied Earth Observation and Geoinformation 83, 101913, 2019
222019
Optimized kernel entropy components
E Izquierdo-Verdiguier, V Laparra, R Jenssen, L Gómez-Chova, ...
IEEE transactions on neural networks and learning systems 28 (6), 1466-1472, 2016
222016
Development and analysis of spring plant phenology products: 36 years of 1-km grids over the conterminous US
E Izquierdo-Verdiguier, R Zurita-Milla, TR Ault, MD Schwartz
Agricultural and forest meteorology 262, 34-41, 2018
202018
Land cover classification using extremely randomized trees: A kernel perspective
A Zafari, R Zurita-Milla, E Izquierdo-Verdiguier
IEEE geoscience and remote sensing letters 17 (10), 1702-1706, 2019
152019
On the use of guided regularized random forests to identify crops in smallholder farm fields
E Izquierdo-Verdiguier, R Zurita-Milla, RA de By
2017 9th International Workshop on the Analysis of Multitemporal Remote …, 2017
132017
Identifying crops in smallholder farms using time series of WorldView-2 images
R Zurita-Milla, E Izquierdo-Verdiguier, RA de By
2017 9th International Workshop on the Analysis of Multitemporal Remote …, 2017
132017
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