Mario Lillo-Saavedra

According to our database, Mario Lillo-Saavedra authored at least 22 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adjustment of Sentinel-3 Spectral Bands With Sentinel-2 to Enhance the Quality of Spatio-Temporally Fused Images.

Meryeme Boumahdi, Angel García-Pedrero, Mario Lillo-Saavedra, Consuelo Gonzalo-Martín

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2022

Patagonian Andes Landslides Inventory: The Deep Learning's Way to Their Automatic Detection.

Bastian Morales, Angel García-Pedrero, Elizabet Lizama, Mario Lillo-Saavedra, Consuelo Gonzalo-Martín, Ningsheng Chen, Marcelo A. Somos-Valenzuela

Remote. Sens., 2022

Automatic detection of pneumonia in chest X-ray images using textural features.

César Antonio Ortiz Toro, Angel García-Pedrero, Mario Lillo-Saavedra, Consuelo Gonzalo-Martín

Comput. Biol. Medicine, 2022

Textural features for automatic detection and categorisation of pneumonia in chest X-ray images.

César Antonio Ortiz Toro, Angel García-Pedrero, Mario Lillo-Saavedra, Consuelo Gonzalo-Martín

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Ex Post Analysis of Water Supply Demand in an Agricultural Basin by Multi-Source Data Integration.

Mario Lillo-Saavedra, Viviana Gavilán, Angel García-Pedrero, Consuelo Gonzalo-Martín, Felipe de la Hoz, Marcelo A. Somos-Valenzuela, Diego Rivera

Remote. Sens., 2021

Improving deep learning sorghum head detection through test time augmentation.

Consuelo Gonzalo-Martín, Angel García-Pedrero, Mario Lillo-Saavedra

Comput. Electron. Agric., 2021

2020

Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images.

Angel García-Pedrero, Ana Garcia-Cervigon, Jose M. Olano, Miguel Garcia-Hidalgo, Mario Lillo-Saavedra, Consuelo Gonzalo-Martín, Cristina Caetano, Saúl Calderón Ramírez

Neural Comput. Appl., 2020

Multi-scale RoIs selection for classifying multi-spectral images.

Ayan Seal, Angel García-Pedrero, Debotosh Bhattacharjee, Mita Nasipuri, Mario Lillo-Saavedra, Ernestina Menasalvas, Consuelo Gonzalo-Martín

Multidimens. Syst. Signal Process., 2020

A satellite-based ex post analysis of water management in a blueberry orchard.

Eduardo Holzapfel, Mario Lillo-Saavedra, Diego Rivera, Viviana Gavilán, Angel García-Pedrero, Consuelo Gonzalo-Martín

Comput. Electron. Agric., 2020

2019

Deep Learning for Automatic Outlining Agricultural Parcels: Exploiting the Land Parcel Identification System.

Angel García-Pedrero, Mario Lillo-Saavedra, Dionisio Rodriguez-Esparragon, Consuelo Gonzalo-Martín

IEEE Access, 2019

2018

TS²uRF: A New Method for Sharpening Thermal Infrared Satellite Imagery.

Mario Lillo-Saavedra, Angel García-Pedrero, Gabriel Merino, Consuelo Gonzalo-Martín

Remote. Sens., 2018

The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation.

Angel García-Pedrero, Consuelo Gonzalo-Martín, Mario Lillo-Saavedra, Dionisio Rodriguez-Esparragon

Remote. Sens., 2018

Xylem Vessels Segmentation Through a Deep Learning Approach: a First Look.

Angel García-Pedrero, Ana Garcia-Cervigon, Cristina Caetano, Saúl Calderón Ramírez, Jose M. Olano, Consuelo Gonzalo-Martín, Mario Lillo-Saavedra, Miguel Garcia-Hidalgo

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

2017

Daily Evapotranspiration Mapping Using Regression Random Forest Models.

Consuelo Gonzalo-Martín, Mario Lillo-Saavedra, Angel García-Pedrero, Octavio Lagos, Ernestina Menasalvas

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Use of Machine Learning to Improve the Robustness of Spatial Estimation of Evapotranspiration.

David Fonseca-Luengo, Mario Lillo-Saavedra, Luis Octavio Lagos, Angel García-Pedrero, Consuelo Gonzalo-Martín

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016

Sixteen Years of Agricultural Drought Assessment of the BioBío Region in Chile Using a 250 m Resolution Vegetation Condition Index (VCI).

Francisco Zambrano, Mario Lillo-Saavedra, Koen Verbist, Octavio Lagos

Remote. Sens., 2016

Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes.

Mario Lillo-Saavedra, Consuelo Gonzalo-Martín, Angel García-Pedrero, Octavio Lagos

Remote. Sens., 2016

Local optimal scale in a hierarchical segmentation method for satellite images - An OBIA approach for the agricultural landscape.

Consuelo Gonzalo-Martín, Mario Lillo-Saavedra, Ernestina Menasalvas, David Fonseca-Luengo, Angel García-Pedrero, Roberto Costumero

J. Intell. Inf. Syst., 2016

2015

A GEOBIA Methodology for Fragmented Agricultural Landscapes.

Angel García-Pedrero, Consuelo Gonzalo-Martín, David Fonseca-Luengo, Mario Lillo-Saavedra

Remote. Sens., 2015

Automatic identification of shrub vegetation of the Teide National Park.

Angel García-Pedrero, Dionisio Rodriguez-Esparragon, Consuelo Gonzalo-Martín, Edurne Ibarrola, Mario Lillo-Saavedra, Javier Marcello

Proceedings of the 4th International Work Conference on Bioinspired Intelligence, 2015

2014

Optimal Scale in a Hierarchical Segmentation Method for Satellite Images.

David Fonseca-Luengo, Angel García-Pedrero, Mario Lillo-Saavedra, Roberto Costumero, Ernestina Menasalvas, Consuelo Gonzalo-Martín

Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014

2011

Toward reduction of artifacts in fused images.

Mario Lillo-Saavedra, Consuelo Gonzalo-Martín, Octavio Lagos

Int. J. Appl. Earth Obs. Geoinformation, 2011