Victor Andres Ayma

Orcid: 0000-0003-2987-2761

According to our database1, Victor Andres Ayma authored at least 10 papers between 2015 and 2023.

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

Timeline

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PhD thesis 
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Bibliography

2023
Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
A Distributed N-FINDR Cloud Computing-Based Solution for Endmembers Extraction on Large-Scale Hyperspectral Remote Sensing Data.
Remote. Sens., 2022

2020
Humpback Whale's Flukes Segmentation Algorithms.
Proceedings of the Information Management and Big Data, 2020

Symbiotic Trackers' Ensemble with Trackers' Re-initialization for Face Tracking.
Proceedings of the Information Management and Big Data, 2020

2019
Super Resolution Approach Using Generative Adversarial Network Models for Improving Satellite Image Resolution.
Proceedings of the Information Management and Big Data - 6th International Conference, 2019

2017
A New Cloud Computing Architecture for the Classification of Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

2016
Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2016

2015
On the architecture of a big data classification tool based on a map reduce approach for hyperspectral image analysis.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

SPT 3.1: A free software for automatic tuning of segmentation parameters in optical, hyperspectral and SAR images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Segmentation as postprocessing for hyperspectral image classification.
Proceedings of the IEEE EUROCON 2015, 2015


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