Patrick Nigri Happ

According to our database, Patrick Nigri Happ authored at least 20 papers between 2013 and 2022.

Collaborative distances:

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

2022

Atrous cGAN for SAR to Optical Image Translation.

Javier Noa Turnes, Jose David Bermudez Castro, Daliana Lobo Torres, Pedro Juan Soto Vega, Raul Queiroz Feitosa, Patrick Nigri Happ

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Exploring Temporal Context at Multiple Scales for Crop Mapping with Fully Convolutional Recurrent Nets and Fully Connected CRFS.

Marcos Rogozinski, Jorge Andres Chamorro Martinez, Patrick Nigri Happ, Raul Queiroz Feitosa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Comparison of Optical and SAR Data for Deforestation Mapping in the Amazon Rainforest with Fully Convolutional Networks.

Mabel Ortega Adarme, Raul Queiroz Feitosa, Jose D. Bermudez, Patrick Nigri Happ, Cláudio Aparecido de Almeida

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery.

Daliana Lobo Torres, Raul Queiroz Feitosa, Patrick Nigri Happ, Laura Elena Cue La Rosa, José Marcato Junior, José Augusto Correa Martins, Patrik Olã Bressan, Wesley Nunes Gonçalves, Veraldo Liesenberg

Sensors, 2020

Evaluation of Deep Learning Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery.

Mabel Ortega Adarme, Raul Queiroz Feitosa, Patrick Nigri Happ, Cláudio Aparecido de Almeida, Alessandra Rodrigues Gomes

Remote. Sens., 2020

Symbiotic Trackers' Ensemble with Trackers' Re-initialization for Face Tracking.

Victor H. Andres Ayma, Patrick Nigri Happ, Raul Queiroz Feitosa, Gilson A. O. P. Costa, Bruno Feijó

Proceedings of the Information Management and Big Data, 2020

2019

Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences.

Laura Elena Cue La Rosa, Raul Queiroz Feitosa, Patrick Nigri Happ, Ieda Del'Arco Sanches, Gilson Alexandre Ostwald Pedro da Costa

Remote. Sens., 2019

Synthesis of Multispectral Optical Images From SAR/Optical Multitemporal Data Using Conditional Generative Adversarial Networks.

Jose David Bermudez Castro, Patrick Nigri Happ, Raul Queiroz Feitosa, Dário A. B. Oliveira

IEEE Geosci. Remote. Sens. Lett., 2019

2018

Dense Fully Convolutional Networks for Crop Recognition from Multitemporal SAR Image Sequences.

Laura Elena Cue La Rosa, Patrick Nigri Happ, Raul Queiroz Feitosa

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

An Hybrid Recurrent Convolutional Neural Network for Crop Type Recognition Based on Multitemporal Sar Image Sequences.

Jose David Bermudez Castro, Raul Queiroz Feitosa, Patrick Nigri Happ

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

A New Cloud Computing Architecture for the Classification of Remote Sensing Data.

Victor Andres Ayma Quirita, Gilson Alexandre Ostwald Pedro da Costa, Patrick Nigri Happ, Raul Queiroz Feitosa, Rodrigo da Silva Ferreira, Dário Augusto Borges Oliveira, Antonio Plaza

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

A Set of Methods to Support Object-Based Distributed Analysis of Large Volumes of Earth Observation Data.

Rodrigo S. Ferreira, Cristiana Bentes, Gilson A. O. P. da Costa, Dário A. B. Oliveira, Patrick Nigri Happ, Raul Queiroz Feitosa, Paolo Gamba

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

Symbiotic Tracker Ensemble with Feedback Learning.

Victor Hugo Ayma Quirita, Patrick Nigri Happ, Gilson Alexandre Ostwald Pedro da Costa, Raul Queiroz Feitosa

Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

2016

A Cloud Computing Strategy for Region-Growing Segmentation.

Patrick Nigri Happ, Gilson Alexandre Ostwald Pedro da Costa, Cristiana Bentes, Raul Queiroz Feitosa, Rodrigo da Silva Ferreira, Ricardo C. Farias

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation.

Victor Andres Ayma, Pedro Achanccaray Diaz, Raul Queiroz Feitosa, Patrick Nigri Happ, Gilson A. O. P. Costa, Tobias Klinger, Christian Heipke

IEEE Geosci. Remote. Sens. Lett., 2016

Single Sample Face Recognition from Video via Stacked Supervised Auto-Encoder.

Pedro Juan Soto Vega, Raul Queiroz Feitosa, Victor Hugo Ayma Quirita, Patrick Nigri Happ

Proceedings of the 29th SIBGRAPI Conference on Graphics, Patterns and Images, 2016

2015

Towards distributed region growing image segmentation based on MapReduce.

Patrick Nigri Happ, Rodrigo S. Ferreira, Gilson A. O. P. Costa, Raul Queiroz Feitosa, Cristiana Bentes, Paolo Gamba

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

On the architecture of a big data classification tool based on a map reduce approach for hyperspectral image analysis.

Victor Andres Ayma, Rodrigo S. Ferreira, Patrick Nigri Happ, Dário Augusto Borges Oliveira, Gilson A. O. P. Costa, Raul Queiroz Feitosa, Antonio J. Plaza, Paolo Gamba

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.

Pedro Achanccaray Diaz, Victor Andres Ayma, Luis-Ignacio Jimenez, Sergio Bernabé, Patrick Nigri Happ, Gilson A. O. P. Costa, Raul Queiroz Feitosa, Antonio J. Plaza

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2013

A Region-Growing Segmentation Algorithm for GPUs.

Patrick Nigri Happ, Raul Queiroz Feitosa, Cristiana Bentes, Ricardo C. Farias

IEEE Geosci. Remote. Sens. Lett., 2013