Search Results - "dos Santos, Jefersson Alex"
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FuSC: Fusing Superpixels for Improved Semantic Consistency
Published in IEEE access (2024)“…Open-set segmentation has caught the community's attention only in the last few years, and it is a growing and active research area with many challenges ahead…”
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Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks
Published in IEEE transactions on geoscience and remote sensing (01-10-2019)“…Semantic segmentation requires methods capable of learning high-level features while dealing with large volume of data. Toward such goal, convolutional…”
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Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery
Published in Precision agriculture (01-08-2021)“…Accurately mapping farmlands is important for precision agriculture practices. Unmanned aerial vehicles (UAV) embedded with multispectral cameras are commonly…”
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Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning
Published in Remote sensing (Basel, Switzerland) (01-08-2021)“…Urban forests are an important part of any city, given that they provide several environmental benefits, such as improving urban drainage, climate regulation,…”
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AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2021)“…It is undeniable that aerial/satellite images can provide useful information for a large variety of tasks. But, since these images are always taken from above,…”
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Nature-Inspired Framework for Hyperspectral Band Selection
Published in IEEE transactions on geoscience and remote sensing (01-04-2014)“…Although hyperspectral images acquired by on-board satellites provide information from a wide range of wavelengths in the spectrum, the obtained information is…”
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Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control
Published in PloS one (09-12-2021)“…Studies have shown that areas with lower socioeconomic standings are often more vulnerable to dengue and similar deadly diseases that can be spread through…”
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On the ensemble of multiscale object-based classifiers for aerial images: a comparative study
Published in Multimedia tools and applications (01-10-2018)“…Remote sensing images (RSIs) are increasingly used as data source to produce maps used in several applications. Modern sensors launched into space from the end…”
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ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation
Published in 2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) (01-10-2021)“…Labeling semantic segmentation datasets is a costly and laborious process if compared with tasks like image classification and object detection. This is…”
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Conference Proceeding -
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Machine Learning Bias in Computer Vision: Why do I have to care?
Published in 2021 34th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) (01-10-2021)“…Machine Learning bias is an issue with two main disadvantages. It compromises the quantitative performance of a system, and depending on the application, it…”
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Conference Proceeding -
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Multiscale Classification of Remote Sensing Images
Published in IEEE transactions on geoscience and remote sensing (01-10-2012)“…A huge effort has been applied in image classification to create high-quality thematic maps and to establish precise inventories about land cover use. The…”
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12
Pointwise and pairwise clothing annotation: combining features from social media
Published in Multimedia tools and applications (01-04-2016)“…In this paper, we present effective algorithms to automatically annotate clothes from social media data, such as Facebook and Instagram. Clothing annotation…”
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Phenological Event Detection by Visual Rhythms Dissimilarity Analysis
Published in 2014 IEEE 10th International Conference on e-Science (01-10-2014)“…Plant phenology has been exploited as an important research venue for assessing the impact of climate changes. One common approach for monitoring vegetation…”
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Conference Proceeding -
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The IEEE GRSS Brazil Chapter: 2020 Activities [Chapters]
Published in IEEE geoscience and remote sensing magazine (01-03-2022)Get full text
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15
Interactive Multiscale Classification of High-Resolution Remote Sensing Images
Published in IEEE journal of selected topics in applied earth observations and remote sensing (01-08-2013)“…The use of remote sensing images (RSIs) as a source of information in agribusiness applications is very common. In those applications, it is fundamental to…”
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IEEE GRSS Brazil Chapter: Status and Activities in 2019 [Chapters]
Published in IEEE geoscience and remote sensing magazine (01-12-2020)Get full text
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17
Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control
Published in PloS one (01-01-2021)“…Studies have shown that areas with lower socioeconomic standings are often more vulnerable to dengue and similar deadly diseases that can be spread through…”
Get full text
Journal Article -
18
Learning to Combine Spectral Indices with Genetic Programming
Published in 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) (01-10-2016)“…This paper introduces a Genetic Programming-based method for band selection and combination, aiming to support remote sensing image classification tasks…”
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Conference Proceeding -
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A Boosting-Based Approach for Remote Sensing Multimodal Image Classification
Published in 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) (01-10-2016)“…Remote Sensing Images (RSI) have been used as a major source of data, particularly with respect to the creation of thematic maps. This process is usually…”
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Conference Proceeding -
20
Incorporating multiple distance spaces in optimum-path forest classification to improve feedback-based learning
Published in Computer vision and image understanding (01-04-2012)“…► Two feedback-based learning methods based on OPF and multiple distance space. ► They solve image retrieval in a few iterations of relevance feedback. ►…”
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