Feiten, B.
* 2011: IP-Based Mobile and Fixed Network Audiovisual Media Services
* 2013: Scene change detection in encrypted video bit streams
Feito Higueruela, F.R.[Francisco Ramon]
* 2011: Evaluation of Boolean operations between free-form solids using extended simplicial chains and PN triangles
* 2017: comprehensive framework for modeling heterogeneous objects, A
Includes: Feito Higueruela, F.R.[Francisco Ramon] Feito-Higueruela, F.R.[Francisco-Ramón]
Feito, F.R.
* 2002: Direct and robust voxelization and polygonization of free-form CSG solids
* 2010: multi-LREP decomposition of solids and its application to a point-in-polyhedron inclusion test, The
* 2020: Automatic Grapevine Trunk Detection on UAV-Based Point Cloud
* 2020: Impact of Canopy Reflectance on the 3D Structure of Individual Trees in a Mediterranean Forest, The
* 2020: Multispectral Mapping on 3D Models and Multi-Temporal Monitoring for Individual Characterization of Olive Trees
* 2020: UAS-Based 3D Image Characterization of Mozarabic Church Ruins in Bobastro (Malaga), Spain, The
* 2021: optimized approach for generating dense thermal point clouds from UAV-imagery, An
Includes: Feito, F.R. Feito, F.R.[Francisco R.] Feito, F.R.[Francisco Ramón]
7 for Feito, F.R.
Feitosa, A.E.
* 2018: Adaptive Detection in Distributed Networks Using Maximum Likelihood Detector
Feitosa, R.
* 2015: Classification Algorithms for Big Data Analysis, A Map Reduce Approach
Feitosa, R.Q.[Raul Q.]
* 2001: Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitions
* 2003: Using Mixture Covariance Matrices to Improve Face and Facial Expression Recognitions
* 2004: Automatic Selection of Training Samples for Multitemporal Image Classification
* 2004: New Covariance Estimate for Bayesian Classifiers in Biometric Recognition, A
* 2006: genetic approach for the automatic adaptation of segmentation parameters, A
* 2007: Multitemporal fuzzy classification model based on class transition possibilities
* 2008: Hybrid Method for Stereo Image Matching, A
* 2008: Monitoring of Height Changes in Urban Areas from Multi-Temporal, Multi-Scale and Multi-Platform Remotely Sensed Data
* 2009: Cascade multitemporal classification based on fuzzy Markov chains
* 2010: Cognitive Approaches and Optical Multispectral Data for Semiautomated Classification of Landforms in a Rugged Mountainous Area
* 2010: Hidden Markov Models for crop recognition in remote sensing image sequences
* 2010: Knowledge-Based Interpretation of Remote Sensing Data with the Interimage System: Major Characteristics and Recent Developments
* 2010: Multiresolution Segmentation: A Parallel Approach for High Resolution Image Segmentation in Multicore Architectures
* 2010: Per Block Urban Land Use Interpretation Using Optical VHR Data and the Knowledge-Based System Interimage
* 2010: PIMAR Project: Monitoring the Atlantic Rainforest Remnants and the Urban Growth of the Rio de Janeiro City (Brazil) Through Remote Sensing
* 2010: Similarity Metrics for Genetic Adaptation of Segmentation Parameters
* 2011: Classification of multitemporal remote sensing data of different resolution using Conditional Random Fields
* 2011: Modeling alternatives for fuzzy Markov chain-based classification of multitemporal remote sensing data
* 2012: Context Models for CRF-Based Classification of Multitemporal Remote Sensing Data
* 2014: Geographic Object-Based Image Analysis: Towards a New Paradigm
* 2015: Conditional Random Fields for Multitemporal and Multiscale Classification of Optical Satellite Imagery
* 2016: Method To Estimate Temporal Interaction In A Conditional Random Field Based Approach For Crop Recognition, A
* 2018: Coping with environmental challenges in Latin America
* 2019: Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences
* 2019: Mapping Glacier Changes Using Clustering Techniques On Cloud Computing Infrastructure
* 2020: Domain Adaptation with CycleGAN for Change Detection In the Amazon Forest
* 2020: Evaluation of Deep Learning Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery
* 2020: Evaluation of Semantic Segmentation Methods for Deforestation Detection In the Amazon
* 2020: First Results of the LEM Benchmark Database for Agricultural Applications
* 2020: Preface: Technical Commission I
* 2021: Deforestation Detection in the Amazon Rainforest with Spatial And Channel Attention Mechanisms
* 2021: Deforestation Detection with Fully Convolutional Networks in the Amazon Forest from Landsat-8 and Sentinel-2 Images
* 2021: Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences
* 2021: Large Scale Semantic Segmentation of Virtual Environments to Facilitate Corrosion Management
* 2021: Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
* 2021: Towards Lifelong Crop Recognition Using Fully Convolutional Recurrent Networks and SAR Image Sequences
* 2021: unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes, An
* 2022: Improving Deforestation Detection on Tropical Rainforests Using Sentinel-1 Data and Convolutional Neural Networks
* 2024: Enhancing deforestation monitoring in the Brazilian Amazon: A semi-automatic approach leveraging uncertainty estimation
Includes: Feitosa, R.Q.[Raul Q.] Feitosa, R.Q. Feitosa, R.Q.[Raul Queiroz]
39 for Feitosa, R.Q.
Feitosa, Y.[Yuri]
* 2023: Importance of Protected Areas by Brazilian States to Reduce Deforestation in the Amazon