Raul Queiroz Feitosa

About Raul Queiroz Feitosa

Raul Queiroz Feitosa, With an exceptional h-index of 28 and a recent h-index of 22 (since 2020), a distinguished researcher at Pontifícia Universidade Católica do Rio de Janeiro, specializes in the field of Image Analysis, Remote Sensing, Machine Learning, Biometrics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Enhancing deforestation monitoring in the Brazilian Amazon: A semi-automatic approach leveraging uncertainty estimation

Improving urban tree species classification by deep-learning based fusion of digital aerial images and LiDAR

Outlier Exposure for Open Set Crop Recognition From Multitemporal Image Sequences

Combining recurrent and residual learning for deforestation monitoring using multitemporal SAR images

A Transformer-based network for deforestation detection from bitemporal optical satellite images

Combining Lidar-Derived Metrics with Rgb-Nir Images to Improve Tree Species Classification in a Tropical Urban Area

Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests

A Debiasing Variational Autoencoder for Deforestation Mapping

Raul Queiroz Feitosa Information

University

Position

Professor at Dept Electrical Engineering Brazil

Citations(all)

4500

Citations(since 2020)

2601

Cited By

2809

hIndex(all)

28

hIndex(since 2020)

22

i10Index(all)

71

i10Index(since 2020)

39

Email

University Profile Page

Pontifícia Universidade Católica do Rio de Janeiro

Google Scholar

View Google Scholar Profile

Raul Queiroz Feitosa Skills & Research Interests

Image Analysis

Remote Sensing

Machine Learning

Biometrics

Top articles of Raul Queiroz Feitosa

Title

Journal

Author(s)

Publication Date

Enhancing deforestation monitoring in the Brazilian Amazon: A semi-automatic approach leveraging uncertainty estimation

ISPRS Journal of Photogrammetry and Remote Sensing

Jorge Andres Chamorro Martinez

Gilson A Ostwald Pedro da Costa

Cassiano Gustavo Messias

Luciana de Souza Soler

Claudio A de Almeida

...

2024/4/1

Improving urban tree species classification by deep-learning based fusion of digital aerial images and LiDAR

Urban Forestry & Urban Greening

Matheus Pinheiro Ferreira

Daniel Rodrigues dos Santos

Felipe Ferrari

Luiz Carlos Teixeira Coelho Filho

Gabriela Barbosa Martins

...

2024/2/6

Outlier Exposure for Open Set Crop Recognition From Multitemporal Image Sequences

IEEE Geoscience and Remote Sensing Letters

Thiago Carvalho

Jorge A Chamorro Martinez

Hugo Oliveira

Jefersson A dos Santos

Raul Queiroz Feitosa

2023/2/13

Combining recurrent and residual learning for deforestation monitoring using multitemporal SAR images

arXiv preprint arXiv:2310.05697

Carla Nascimento Neves

Raul Queiroz Feitosa

Mabel X Ortega Adarme

Gilson Antonio Giraldi

2023/10/9

A Transformer-based network for deforestation detection from bitemporal optical satellite images

Felipe Ferrari

Matheus Pinheiro Ferreira

Raul Queiroz Feitosa

2023

Combining Lidar-Derived Metrics with Rgb-Nir Images to Improve Tree Species Classification in a Tropical Urban Area

Matheus P Ferreira

Daniel R Dos Santos

Felipe Ferrari

Gabriela B Martins

Raul Q Feitosa

2023/7/16

Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Pedro Juan Soto Vega

Gilson Alexandre Ostwald Pedro da Costa

Mabel Ximena Ortega Adarme

José David Bermúdez Castro

Raul Queiroz Feitosa

2023

A Debiasing Variational Autoencoder for Deforestation Mapping

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

MX Ortega Adarme

PJ Soto Vega

GAOP Costa

RQ Feitosa

C Heipke

2023/4/21

Fusing SENTINEL-1 and SENTINEL-2 Images with Transformer-Based Network for Deforestation Detection in the Brazilian Amazon Under Diverse Cloud Conditions

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

F Ferrari

MP Ferreira

RQ Feitosa

2023/12/5

USING TIME SERIES IMAGE DATA TO IMPROVE THE GENERALIZATION CAPABILITIES OF A CNN–THE EXAMPLE OF DEFORESTATION DETECTION WITH SENTINEL-2

MX Ortega

D Wittich

F Rottensteiner

C Heipke

RQ Feitosa

2023/12/5

New encoder–decoder convolutional LSTM neural network architectures for next-day global ionosphere maps forecast

GPS Solutions

MCM de Paulo

HA Marques

RQ Feitosa

MP Ferreira

2023/4

Fusing Sentinel-1 and Sentinel-2 Images for Deforestation Detection in the Brazilian Amazon Under Diverse Cloud Conditions

IEEE Geoscience and Remote Sensing Letters

Felipe Ferrari

Matheus Pinheiro Ferreira

Cláudio Aparecido Almeida

Raul Queiroz Feitosa

2023/2/16

Weak Supervised Adversarial Domain Adaptation for Deforestation Detection in Tropical Forests

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Pedro Juan Soto Vega

Gilson Alexandre Ostwald Pedro da Costa

Mabel Ximena Ortega Adarme

José David Bermúdez Castro

Raul Queiroz Feitosa

2023/10/25

A Comparison of Cloud Removal Methods for Deforestation Monitoring in Amazon Rainforest

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

JAC Martinez

MXO Adarme

JN Turnes

GAOP Costa

CA De Almeida

...

2022/5/30

How far should I look? A neural architecture search strategy for semantic segmentation of remote sensing images

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

MCM de Paulo

JN Turnes

PN Happ

MP Ferreira

HA Marques

...

2022/5/17

Multi-Attention Ghostnet for Deforestation Detection in the Amazon Rainforest

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

MX Ortega Adarme

GAOP Costa

RQ Feitosa

2022/5/17

Domain-adversarial neural networks for deforestation detection in tropical forests

IEEE Geoscience and Remote Sensing Letters

Pedro J Soto

Gilson A Costa

Raul Q Feitosa

Mabel X Ortega

José D Bermudez

...

2022/3/30

3D convolution for multidate crop recognition from multitemporal image sequences

International Journal of Remote Sensing

Marcos Rogozinski

Jorge Andres Chamorro Martinez

Raul Queiroz Feitosa

2022/8/18

Deforestation detection with weak supervised convolutional neural networks in tropical biomes

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Pedro Juan Soto Vega

GAOP Costa

MX Ortega

JD Bermudez

RQ Feitosa

2022/1/1

Improving deforestation detection on tropical rainforests using sentinel-1 data and convolutional neural networks

Remote Sensing

Mabel Ortega Adarme

Juan Doblas Prieto

Raul Queiroz Feitosa

Cláudio Aparecido De Almeida

2022/7/8

See List of Professors in Raul Queiroz Feitosa University(Pontifícia Universidade Católica do Rio de Janeiro)

Co-Authors

H-index: 94
Antonio Plaza

Antonio Plaza

Universidad de Extremadura

H-index: 83
Thomas Blaschke

Thomas Blaschke

Universität Salzburg

H-index: 63
Maggi Kelly

Maggi Kelly

University of California, Berkeley

H-index: 63
freek van der meer

freek van der meer

Universiteit Twente

H-index: 59
Gamba Paolo

Gamba Paolo

Università degli Studi di Pavia

H-index: 45
Christian Heipke

Christian Heipke

Leibniz Universität Hannover

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