Claudio Parente

Orcid: 0000-0002-8328-9764

According to our database1, Claudio Parente authored at least 13 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A Proposal for Automatic Coastline Extraction from Landsat 8 OLI Images Combining Modified Optimum Index Factor (MOIF) and K-Means.
Remote. Sens., June, 2023

Statistical Assessment of Some Interpolation Methods for Building Grid Format Digital Bathymetric Models.
Remote. Sens., April, 2023

The Effectiveness of Pan-Sharpening Algorithms on Different Land Cover Types in GeoEye-1 Satellite Images.
J. Imaging, 2023

2022
A New Orbiting Deployable System for Small Satellite Observations for Ecology and Earth Observation.
Remote. Sens., 2022

Normalized Burn Ratio Plus (NBR+): A New Index for Sentinel-2 Imagery.
Remote. Sens., 2022

Machine Learning Approaches for Coastline Extraction from Sentinel-2 Images: K-Means and K-Nearest Neighbour Algorithms in Comparison.
Proceedings of the Geomatics for Green and Digital Transition - 25th Italian Conference, 2022

2021
Automation of Pan-Sharpening Methods for Pléiades Images Using GIS Basic Functions.
Remote. Sens., 2021

2019
Using Images Generated by Sentinel-2 Satellite Optical Sensor for Burned Area Mapping.
Proceedings of the R3 in Geomatics: Research, Results and Review, 2019

Processing Very High-Resolution Satellite Images for Individual Tree Identification with Local Maxima Method.
Proceedings of the R3 in Geomatics: Research, Results and Review, 2019

Coastline Extraction from Optical Satellite Imagery and Accuracy Evaluation.
Proceedings of the R3 in Geomatics: Research, Results and Review, 2019

2016
Integrating Sensors into a Marine Drone for Bathymetric 3D Surveys in Shallow Waters.
Sensors, 2016

Comparison of Different Algorithms to Orthorectify WorldView-2 Satellite Imagery.
Algorithms, 2016

2015
Object-Based Greenhouse Horticultural Crop Identification from Multi-Temporal Satellite Imagery: A Case Study in Almeria, Spain.
Remote. Sens., 2015


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