A5101721122- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Satellite Image Processing and Photogrammetry
- Remote-Sensing Image Classification
- Automated Road and Building Extraction
- Geography and Environmental Studies
- Remote Sensing in Agriculture
- 3D Modeling in Geospatial Applications
- Remote Sensing and Land Use
- Spectroscopy and Chemometric Analyses
- Geographic Information Systems Studies
- Advanced Image Fusion Techniques
- Water Quality Monitoring Technologies
- Robotics and Sensor-Based Localization
- Optical measurement and interference techniques
- Advanced Optical Sensing Technologies
- Augmented Reality Applications
- Smart Agriculture and AI
- Video Surveillance and Tracking Methods
- Geochemistry and Geologic Mapping
- Flood Risk Assessment and Management
- Image Retrieval and Classification Techniques
- Groundwater and Watershed Analysis
- Soil and Land Suitability Analysis
- Water Quality Monitoring and Analysis
Universidade Federal do Paraná
2014-2024
Universidad de las Fuerzas Armadas ESPE
2023
Centro Nacional de Información Geográfica
2017
Impact
2017
Terra
2014
Ação Educativa
2014
National Authority for Remote Sensing and Space Sciences
2012
Clínica Diagonal
2011
Universidade Federal do Piauí
2010
Photon Spot (United States)
2008
In recent years, many agriculture-related problems have been evaluated with the integration of artificial intelligence techniques and remote sensing systems. Specifically, in fruit detection problems, several works were developed using Deep Learning (DL) methods applied images acquired different acquisition levels. However, increasing use anti-hail plastic net cover commercial orchards highlights importance terrestrial Apples are one most highly-challenging fruits to be detected images,...
Product quality certification is an important process in agricultural production and productivity. Traditional methods for seed classification have shown limitations such as complex steps, low precision, slow inspection large volumes. Automatic techniques based on machine learning computer vision offer fast high throughput solutions. Despite the major advances state-of-the-art automatic models, there still a need to improve these models by incorporating other techniques. In this article, we...
Abstract The integration of photogrammetric images and lidar data is becoming a powerful procedure that can be applied in the optimisation mapping techniques. complementary nature optimises performance many procedures used to extract 3D spatial information from data. For example, imagery enables accurate extraction building borders provides points give on physical surfaces buildings. These properties demonstrate usefulness combining two types achieve more robust complete reconstruction...
Este artigo apresenta a classificacao digital de imagem alta resolucao baseada em orientacao objeto. Os objetos da (Ikonos, multiespectral) sao oriundos de segmentacao multi-resolucao que permite obtencao diferentes niveis de segmentacao. A segmentacao em camadas pode apoiar uma estrutura hierarquica segmentos, onde rede semântica ser introduzida. rede semântica e no processo cognitivo do usuario. O conhecimento ser explicitado por meio regras fuzzy considerando descritores forma textura...
Object detection in high resolution images is a new challenge that the remote sensing community facing thanks to introduction of unmanned aerial vehicles and monitoring cameras. One interests detect trace persons images. Different from general objects, pedestrians can have different poses are undergoing constant morphological changes while moving, this task needs an intelligent solution. Fine-tuning has woken up great interest among researchers due its relevance for retraining convolutional...
Among the systems that aim to help users perform map reading tasks, augmented reality (AR) is one of most promising. However, impact this new technology in terms acceptance, motivation and improvement learning process has still not been sufficiently explored. This study aims assess contribution an AR system for improving users' understanding geographic data. Landscape census data from New Zealand were used evaluate performance experiment involving 60 participants. Differences participants'...
Abstract Photogrammetric and lidar data‐sets have been used together in mapping procedures because of their complementary characteristics. However, to perform this integration both must be within a common reference frame. Although all systems include direct georeferencing procedure, the majority low‐cost photogrammetric do not facility for images even if are captured simultaneously. In recent years, high accuracy data has enabled it provide source control thus offer indirect georeferencing....
This article aims to study the importance of in situ camera calibration for integration light detection and ranging (LIDAR) photogrammetric data sets by indirect georeferencing. For this purpose, was performed estimate interior orientation parameters (IOP) flight condition, using a sub-block images (six from two opposite strips), extracted entire block set LIDAR control points (LCPs) computed three planes intersection, point cloud on building roofs. In order evaluate accuracies integration,...
A Realidade Aumentada é uma nova forma de interação homem-máquina, que permite aos usuários examinar a realidade mediante visualização/inclusão informação adicional, previamente selecionada, relevante para solução um determinado problema, em tempo real junto com percebida pelo ser humano. Basicamente, camera vídeo proporciona cenas e sistema computador adiciona à imagem virtual, como por exemplo inserção nomes elementos geográficos rios montanhas os quais não são visíveis olho nú podem...
Abstract. Digital photogrammetric products from the integration of imagery and lidar datasets are a reality nowadays. When surveys performed together camera is connected to system, direct georeferencing can be applied compute exterior orientation parameters images. Direct images requires accurate interior perform application. Camera calibration procedure (IOPs). Calibration researches have established that obtain IOPs, must with same or equal condition survey done. This paper shows...
AbstractManual digitizing of road maps is an expensive and time-consuming task. We present a method based on the Radon transform, which automatically extracts roads in rural areas from digital images. The proposed iteratively detects linear segments then generates centerlines. composed two phases: first, seed are detected, second, widths measured successive detection line that candidates as centerlines performed. Several tests were carried out using aerial photographs (digital images) area...
Binary encoding is an approach that aims at summarizing the information contained in various spectral bands into a single image stores meaningful of bands. In this paper, it introduced feature extraction to reduce dimensionality hyperspectral data with binary for classification purposes. Different options radiometric pixels are introduced, such as using threshold or multiple thresholds. After reduction, separation classes was analysed and thematic reduced performed. order evaluate...
This study investigates the potential use of close-range and low-cost terrestrial RGB imaging sensor for fruit detection in a high-density apple orchard Fuji Suprema fruits (Malus domestica Borkh). The area is typical located small holder farm Santa Catarina’s Southern plateau (Brazil). Small farms that state are responsible more than 50% Brazil’s production. Traditional digital image processing approaches such as color space conversion (e.g., rgb, HSV, CIE L*a*b*, OHTA[I 1 , I 2 3 ]) were...
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ABSTRACT The constant monitoring of water quality is fundamental for the understanding aquatic environment, yet it demands great financial investments and susceptible to inconsistencies missing values. Using a database composed 59 sampling campaigns, performed 12 years, on 10 stations along Iguassu River Basin (Southern Brazil), this study presents model, based feed-forward neural networks, which imputed 1,370 values 11 traditional parameters, as well 3 contaminants emerging concern...
ABSTRACT Changes in water quality are a consequence of and land use dynamics. Measuring these relationships is challenging, especially when looking at distinct variables such as traditional organic matter constituents emerging compounds. Although monitoring necessary for proper resource planning management strategies, comprehensive methodological approach general time-consuming costly, which discourages decision-makers. The goal the study was to establish consistent elements based on...
The geometric calibration of time-of-flight range cameras is a necessary quality assurance measure performed to estimate the interior orientation parameters. Self-calibration from network imagery an array signalized targets arranged in one or two planes can be used for this purpose. latter configuration requires addition parametric model internal light scattering biases observations background plane due presence foreground plane. In previous study MESA Imaging SwissRanger cameras, such was...
Abstract. The direct determination of exterior orientation parameters (EOP) aerial images via integration the Inertial Measurement Unit (IMU) and GPS is often used in photogrammetric mapping nowadays. accuracies EOP depend on accurate related to sensors mounting when job performed (offsets IMU relative projection centre angles boresigth misalignment between coordinate system). In principle, values do not achieve required for application, approach, known as Integrated Sensor Orientation...
Photogrammetric procedures using the integration of imagery and light detection ranging (Lidar) datasets are becoming common in mapping companies nowadays. When photogrammetric Lidar surveys performed simultaneously while having camera connected to system, image's exterior orientation parameters computed from system can be used perform applications. To implement such approach, calibration should applied obtain accurate interior parameters. This paper shows study experimental results an situ...
Cocaine production has reached record levels in recent years. Latin America and the Caribbean are primary sources of all cocaine consumed globally, thus there indications that processes could spread to countries transit consumption, becoming a threat security states. In this article, we address challenge detecting potential infrastructures produce coca paste border region Venezuela Colombia. We use geospatial intelligence artificial detect these objects remote sensing images identify their...