Search Results - "Happ, Patrick Nigri"

Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery by Lobo Torres, Daliana, Queiroz Feitosa, Raul, Nigri Happ, Patrick, Elena Cué La Rosa, Laura, Marcato Junior, José, Martins, José, Olã Bressan, Patrik, Gonçalves, Wesley Nunes, Liesenberg, Veraldo

“…This study proposes and evaluates five deep fully convolutional networks (FCNs) for the semantic segmentation of a single tree species: SegNet, U-Net,…”
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Evaluation of Deep Learning Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery by Ortega Adarme, Mabel, Queiroz Feitosa, Raul, Nigri Happ, Patrick, Aparecido De Almeida, Claudio, Rodrigues Gomes, Alessandra

“…Deforestation is one of the major threats to natural ecosystems. This process has a substantial contribution to climate change and biodiversity reduction…”
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Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences by Cué La Rosa, Laura Elena, Queiroz Feitosa, Raul, Nigri Happ, Patrick, Del’Arco Sanches, Ieda, Ostwald Pedro da Costa, Gilson Alexandre

“…Accurate crop type identification and crop area estimation from remote sensing data in tropical regions are still considered challenging tasks. The more…”
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Deep learning-based tree species mapping in a highly diverse tropical urban setting by Martins, Gabriela Barbosa, La Rosa, Laura Elena Cué, Happ, Patrick Nigri, Filho, Luiz Carlos Teixeira Coelho, Santos, Celso Junius F., Feitosa, Raul Queiroz, Ferreira, Matheus Pinheiro

“…•We show a CNN-based approach to map urban tree species with aerial photographs.•We tested our approach in a highly diverse tropical urban setting.•We achieved…”
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A New Cloud Computing Architecture for the Classification of Remote Sensing Data by Quirita, Victor Andres Ayma, da Costa, Gilson Alexandre Ostwald Pedro, Happ, Patrick Nigri, Feitosa, Raul Queiroz, Ferreira, Rodrigo da Silva, Oliveira, Dario Augusto Borges, Plaza, Antonio

“…This paper proposes a new distributed architecture for supervised classification of large volumes of earth observation data on a cloud computing environment…”
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A Region-Growing Segmentation Algorithm for GPUs by Nigri Happ, Patrick, Queiroz Feitosa, Raul, Bentes, Cristiana, Farias, Ricardo

“…This letter proposes a parallel version for graphics processing units (GPU) of a region-growing image segmentation algorithm widely used by the geographic…”
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XGBOOST and Multitemporal DETER Data for Deforestation Forecasting by La Rosa, Laura E. Cué, Ferrari, Felipe, Bezerra, Francisco Gilney Silva, de Souza, Rodrigo Antônio, Maretto, Raian Vargas, de Aguiar, Ana Paula Dutra, Vinhas, Lubia, Happ, Patrick Nigri, Feitosa, Raul Queiroz

“…This paper reports research that is part of a project to combat deforestation in the Brazilian Amazon rainforest by developing an online system designed to…”
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A framework for enhancing industrial soft sensor learning models by Mattos, João Guilherme, Happ, Patrick Nigri, Fernandes, William, Lopes, Helio Côrtes Vieira, Barbosa, Simone D J, Kalinowski, Marcos, Rosa, Luisa Silveira, Novello, Cassia, Ribeiro, Leonardo Dorigo, Ventura, Patricia Rodrigues, Marques, Marcelo Cardoso, Pitta, Renato Neves, Camolesi, Valmir Jose, Costa, Livia Pereira Lemos, Paravidino, Bruno Itagyba, Pereira, Cristiane Salgado

“…Refinery industrial processes are very complex with nonlinear dynamics resulting from varying feedstock characteristics and also from changes in product…”
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A Cloud Computing Strategy for Region-Growing Segmentation by Happ, Patrick Nigri, da Costa, Gilson Alexandre Ostwald Pedro, Bentes, Cristiana, Feitosa, Raul Queiroz, Ferreira, Rodrigo da Silva, Farias, Ricardo

“…This paper proposes a distributed strategy for region-growing segmentation of arbitrarily large images. The strategy is suited for most distributed…”
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Análise da Qualidade da Segmentação e Classificação de uma Imagem Urbana do Satélite GeoEye-1 Baseada em Objeto e Realizadas nas Plataformas PostgreSQL e InterIMAGE by Simone Dutra Martins Guarda, Edilson Souza Bias, Edson Eyji Sano, Emiliano Ferreira Castejon, Patrick Nigri Happ, Rogério Baptista de Sousa

“…A técnica denominada de classificação baseada em objetos, proposta por Baatz & Shäpe (2000), trata-se de uma abordagem de processamento de imagens em que a…”
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Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences by Chamorro Martinez, Jorge Andres, Cué La Rosa, Laura Elena, Feitosa, Raul Queiroz, Sanches, Ieda Del’Arco, Happ, Patrick Nigri

“…[Display omitted] •A novel N-to-N recurrent network for pixel-wise crop labeling of image sequences.•It combines RNN, encoder-decoder architectures and prior…”
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Single Sample Face Recognition from Video via Stacked Supervised Auto-Encoder by Soto Vega, Pedro J., Feitosa, Raul Queiroz, Ayma Quirita, Victor H., Happ, Patrick Nigri

“…This work proposes and evaluates strategies based on Stacked Supervised Auto-Encoders (SSAE) for face representation in video surveillance applications. The…”
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Symbiotic Tracker Ensemble with Feedback Learning by Quirita, Victor H. A., Happ, Patrick N., Costa, Gilson A.O.P., Feitosa, Raul Q.

“…Visual tracking is a challenging task due to a number of factors, such as occlusions, deformations, illumination variations and abrupt motion changes present…”
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Segmentação Distribuída de Imagem de Sensoriamento Remoto a partir de Banco de Dados PostgreSQL/InterIMAGE by Guarda, Simone Dutra Martins, Sano, Edson Eyji, Bias, Edilson Souza, Castejon, Emiliano Ferreira, Happ, Patrick Nigri, Teixeira, Alexandre De Amorim, Antunes, Rodrigo Rodrigues, Sousa, Rogério Baptista de

“…A abordagem de classificação baseada em objetos representa um novo paradigma no processamento de imagens de altas resoluções espaciais, espectrais e temporais,…”
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An Hybrid Recurrent Convolutional Neural Network for Crop Type Recognition Based on Multitemporal Sar Image Sequences by Castro, Jose Bermudez, Feitosa, Raul Queiroz, Happ, Patrick Nigri

“…Agriculture monitoring is a key task for producers, governments and decision makers. The analysis of multitemporal remote sensing data provides a…”
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Exploring Temporal Context at Multiple Scales for Crop Mapping with Fully Convolutional Recurrent Nets and Fully Connected CRFS by Rogozinski, Marcos, Chamorro Martinez, Jorge Andres, Happ, Patrick Nigri, Feitosa, Raul Queiroz

“…This paper introduces a novel hybrid N-to-N bidirectional ConvLSTM for multi-temporal crop recognition in areas characterized by highly complex crop dynamics…”
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Dense Fully Convolutional Networks for Crop Recognition from Multitemporal SAR Image Sequences by Cue La Rosa, Laura Elena, Happ, Patrick Nigri, Feitosa, Raul Queiroz

“…This work presents a dense fully convolutional architecture for crop type recognition from multitemporal RS images. Basically, we adapted a dense fully…”
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