Mario Lillo-Saavedra

Orcid: 0000-0001-5634-9162

According to our database1, Mario Lillo-Saavedra authored at least 24 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Adjustment of Sentinel-3 Spectral Bands With Sentinel-2 to Enhance the Quality of Spatio-Temporally Fused Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Random Forest Approach for Generating Daily Surface Reflectance Time Series Integrating MODIS and Sentinel Data.
Proceedings of the IGARSS 2024, 2024

Agent-Based Modeling for Identifying Water Conflicts in Farmer Water User Organizations: A Socio-Hydrological Approach.
Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024

2022
Patagonian Andes Landslides Inventory: The Deep Learning's Way to Their Automatic Detection.
Remote. Sens., 2022

Automatic detection of pneumonia in chest X-ray images using textural features.
Comput. Biol. Medicine, 2022

Textural features for automatic detection and categorisation of pneumonia in chest X-ray images.
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.
Remote. Sens., 2021

Improving deep learning sorghum head detection through test time augmentation.
Comput. Electron. Agric., 2021

2020
Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images.
Neural Comput. Appl., 2020

Multi-scale RoIs selection for classifying multi-spectral images.
Multidimens. Syst. Signal Process., 2020

A satellite-based ex post analysis of water management in a blueberry orchard.
Comput. Electron. Agric., 2020

2019
Deep Learning for Automatic Outlining Agricultural Parcels: Exploiting the Land Parcel Identification System.
IEEE Access, 2019

2018
TS<sup>2</sup>uRF: A New Method for Sharpening Thermal Infrared Satellite Imagery.
Remote. Sens., 2018

The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation.
Remote. Sens., 2018

Xylem Vessels Segmentation Through a Deep Learning Approach: a First Look.
Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018

2017
Daily Evapotranspiration Mapping Using Regression Random Forest Models.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Use of Machine Learning to Improve the Robustness of Spatial Estimation of Evapotranspiration.
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).
Remote. Sens., 2016

Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes.
Remote. Sens., 2016

Local optimal scale in a hierarchical segmentation method for satellite images - An OBIA approach for the agricultural landscape.
J. Intell. Inf. Syst., 2016

2015
A GEOBIA Methodology for Fragmented Agricultural Landscapes.
Remote. Sens., 2015

Automatic identification of shrub vegetation of the Teide National Park.
Proceedings of the 4th International Work Conference on Bioinspired Intelligence, 2015

2014
Optimal Scale in a Hierarchical Segmentation Method for Satellite Images.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014

2011
Toward reduction of artifacts in fused images.
Int. J. Appl. Earth Obs. Geoinformation, 2011


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