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Victor Andres Ayma Quirita
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A new cloud computing architecture for the classification of remote sensing data
VAA Quirita, GAOP da Costa, PN Happ, RQ Feitosa, R da Silva Ferreira, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
592016
Classification algorithms for big data analysis, a map reduce approach
VA Ayma, RS Ferreira, P Happ, D Oliveira, R Feitosa, G Costa, A Plaza, ...
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2015
582015
An adaptive filtering approach for segmentation of tuberculosis bacteria in Ziehl-Neelsen sputum stained images
V Ayma, R De Lamare, B Castañeda
2015 Latin America Congress on Computational Intelligence (LA-CCI), 1-5, 2015
222015
A generative adversarial network approach for super-resolution of Sentinel-2 satellite images
F Pineda, V Ayma, C Beltran
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020
112020
Mapping glacier changes using clustering techniques on cloud computing infrastructure
V Ayma, C Beltrán, PN Happ, G Costa, RQ Feitosa
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019
102019
Metaheuristics for supervised parameter tuning of multiresolution segmentation
VAA Quirita, PA Diaz, RQ Feitosa, PN Happ, GAOP Costa, T Klinger, ...
IEEE Geoscience and Remote Sensing Letters 13 (9), 1364-1368, 2016
102016
Dimensionality reduction via an orthogonal autoencoder approach for hyperspectral image classification
VH Ayma, VA Ayma, J Gutierrez
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020
92020
Application of semantic segmentation with few labels in the detection of water bodies from perusat-1 satellite’s images
J Gonzalez, K Sankaran, V Ayma, C Beltran
2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS …, 2020
82020
A free software tool for automatic tuning of segmentation parameters
P Achanccaray, V Ayma, L Jimenez, S Garcia, P Happ, R Feitosa, A Plaza
Southeast. Eur. J. Earth Observ. Geomat 3, 707-712, 2014
82014
A distributed N-FINDR cloud computing-based solution for endmembers extraction on large-scale hyperspectral remote sensing data
VA Ayma Quirita, GAOP da Costa, C Beltrán
Remote Sensing 14 (9), 2153, 2022
72022
Segmentation as postprocessing for hyperspectral image classification
LI Jiménez, A Plaza, VA Ayma, P Achanccaray, GAOP Costa, RQ Feitosa
IEEE EUROCON 2015-International Conference on Computer as a Tool (EUROCON), 1-4, 2015
72015
On the architecture of a big data classification tool based on a map reduce approach for hyperspectral image analysis
VA Ayma, RS Ferreira, PN Happ, DAB Oliveira, GAOP Costa, RQ Feitosa, ...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
62015
Super resolution approach using generative adversarial network models for improving satellite image resolution
F Pineda, V Ayma, R Aduviri, C Beltran
Annual International Symposium on Information Management and Big Data, 291-298, 2019
42019
Nutritional assessment of children under five based on anthropometric measurements with image processing techniques
VA Ayma, VH Ayma, LGA Torre
2016 IEEE ANDESCON, 1-4, 2016
42016
SPT 3.1: A free software for automatic tuning of segmentation parameters in optical, hyperspectral and SAR images
P Achanccaray, VA Ayma, LI Jimenez, S Bernabe, PN Happ, G Costa, ...
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015
42015
Mapping Ausangate glacier changes using clustering techniques on cloud computing infrastructure
V Ayma, C Beltrán, P Happ, G Costa, R Feitosa
Seventh International Conference on Remote Sensing and Geoinformation of the …, 2019
32019
A fuzzy inference system for multispectral image classification
PJS Vega, VAA Quirita, PM Achanccaray, R Tanscheit, M Vellasco
2016 IEEE ANDESCON, 1-4, 2016
32016
A free software tool for Automatic Tuning of Segmentation Parameters
PMA Diaz, VA Ayma, PN Happ, R Feitosa
5th GEOBIA, Thessalonik, South-Eastern European Journal of Earth Observation …, 2014
12014
Segmentação de Bacilos de Koch em Amostras de Escarro, uma Aplicação das Redes Neurais
VA Ayma, M Vellasco, B Castañeda
Congreso Peruano de Ingeniería Biomédica, Bioingeniería, Biotecnología y …, 2013
12013
Comparing Regression Models to Predict Property Crime in High-Risk Lima Districts.
M Escobedo, C Tapia, J Gutierrez, V Ayma
International Journal of Advanced Computer Science & Applications 15 (3), 2024
2024
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Articles 1–20