Search Results - "Nunes Gonçalves, Wesley"

A review on deep learning in UAV remote sensing by Osco, Lucas Prado, Marcato Junior, José, Marques Ramos, Ana Paula, de Castro Jorge, Lúcio André, Fatholahi, Sarah Narges, de Andrade Silva, Jonathan, Matsubara, Edson Takashi, Pistori, Hemerson, Gonçalves, Wesley Nunes, Li, Jonathan

“…•Combining deep learning and UAV-based data is an emerging trend in remote sensing.•Most articles published rely on CNN-based methods.•Future perspectives in…”
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Using Deep Learning for Automatic Water Stage Measurements by Eltner, Anette, Bressan, Patrik Olã, Akiyama, Thales, Gonçalves, Wesley Nunes, Marcato Junior, José

“…Image‐based gauging stations can allow for significant densification of monitoring networks of river water stages. However, thus far, most camera gauges do not…”
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A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices by Marques Ramos, Ana Paula, Prado Osco, Lucas, Elis Garcia Furuya, Danielle, Nunes Gonçalves, Wesley, Cordeiro Santana, Dthenifer, Pereira Ribeiro Teodoro, Larissa, Antonio da Silva Junior, Carlos, Fernando Capristo-Silva, Guilherme, Li, Jonathan, Henrique Rojo Baio, Fábio, Marcato Junior, José, Eduardo Teodoro, Paulo, Pistori, Hemerson

“…•An approach to potentialize the Random Forest to predict maize-crop yield.•Random Forest algorithm performed better in tests with the ranking-based…”
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Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs by Santos, Anderson Aparecido Dos, Marcato Junior, José, Araújo, Márcio Santos, Di Martini, David Robledo, Tetila, Everton Castelão, Siqueira, Henrique Lopes, Aoki, Camila, Eltner, Anette, Matsubara, Edson Takashi, Pistori, Hemerson, Feitosa, Raul Queiroz, Liesenberg, Veraldo, Gonçalves, Wesley Nunes

“…Detection and classification of tree species from remote sensing data were performed using mainly multispectral and hyperspectral images and Light Detection…”
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A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery by Osco, Lucas Prado, Arruda, Mauro dos Santos de, Marcato Junior, José, da Silva, Neemias Buceli, Ramos, Ana Paula Marques, Moryia, Érika Akemi Saito, Imai, Nilton Nobuhiro, Pereira, Danillo Roberto, Creste, José Eduardo, Matsubara, Edson Takashi, Li, Jonathan, Gonçalves, Wesley Nunes

“…Visual inspection has been a common practice to determine the number of plants in orchards, which is a labor-intensive and time-consuming task. Deep learning…”
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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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Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques by Osco, Lucas Prado, Junior, José Marcato, Ramos, Ana Paula Marques, Furuya, Danielle Elis Garcia, Santana, Dthenifer Cordeiro, Teodoro, Larissa Pereira Ribeiro, Gonçalves, Wesley Nunes, Baio, Fábio Henrique Rojo, Pistori, Hemerson, Junior, Carlos Antonio da Silva, Teodoro, Paulo Eduardo

“…Under ideal conditions of nitrogen (N), maize (Zea mays L.) can grow to its full potential, reaching maximum plant height (PH). As a rapid and nondestructive…”
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Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery by Prado Osco, Lucas, Marques Ramos, Ana Paula, Roberto Pereira, Danilo, Akemi Saito Moriya, Érika, Nobuhiro Imai, Nilton, Takashi Matsubara, Edson, Estrabis, Nayara, de Souza, Maurício, Marcato Junior, José, Gonçalves, Wesley Nunes, Li, Jonathan, Liesenberg, Veraldo, Eduardo Creste, José

“…The traditional method of measuring nitrogen content in plants is a time-consuming and labor-intensive task. Spectral vegetation indices extracted from…”
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A Novel Deep Learning Method to Identify Single Tree Species in UAV-Based Hyperspectral Images by Miyoshi, Gabriela Takahashi, Arruda, Mauro dos Santos, Osco, Lucas Prado, Marcato Junior, José, Gonçalves, Diogo Nunes, Imai, Nilton Nobuhiro, Tommaselli, Antonio Maria Garcia, Honkavaara, Eija, Gonçalves, Wesley Nunes

“…Deep neural networks are currently the focus of many remote sensing approaches related to forest management. Although they return satisfactory results in most…”
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3D building model generation from MLS point cloud and 3D mesh using multi-source data fusion by Liu, Weiquan, Zang, Yu, Xiong, Zhangyue, Bian, Xuesheng, Wen, Chenglu, Lu, Xiaolei, Wang, Cheng, Marcato, José, Gonçalves, Wesley Nunes, Li, Jonathan

“…The high-precision generation of 3D building models is a controversial research topic in the field of smart cities. However, due to the limitations of…”
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A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements by Osco, Lucas Prado, Ramos, Ana Paula Marques, Faita Pinheiro, Mayara Maezano, Moriya, Érika Akemi Saito, Imai, Nilton Nobuhiro, Estrabis, Nayara, Ianczyk, Felipe, Araújo, Fábio Fernando de, Liesenberg, Veraldo, Jorge, Lúcio André de Castro, Li, Jonathan, Ma, Lingfei, Gonçalves, Wesley Nunes, Marcato Junior, José, Eduardo Creste, José

“…This paper presents a framework based on machine learning algorithms to predict nutrient content in leaf hyperspectral measurements. This is the first approach…”
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The Potential of Visual ChatGPT for Remote Sensing by Osco, Lucas Prado, Lemos, Eduardo Lopes de, Gonçalves, Wesley Nunes, Ramos, Ana Paula Marques, Marcato Junior, José

“…Recent advancements in Natural Language Processing (NLP), particularly in Large Language Models (LLMs), associated with deep learning-based computer vision…”
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Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning by Martins, José Augusto Correa, Nogueira, Keiller, Osco, Lucas Prado, Gomes, Felipe David Georges, Furuya, Danielle Elis Garcia, Gonçalves, Wesley Nunes, Sant’Ana, Diego André, Ramos, Ana Paula Marques, Liesenberg, Veraldo, dos Santos, Jefersson Alex, de Oliveira, Paulo Tarso Sanches, Junior, José Marcato

“…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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Active Fire Mapping on Brazilian Pantanal Based on Deep Learning and CBERS 04A Imagery by Higa, Leandro, Marcato Junior, José, Rodrigues, Thiago, Zamboni, Pedro, Silva, Rodrigo, Almeida, Laisa, Liesenberg, Veraldo, Roque, Fábio, Libonati, Renata, Gonçalves, Wesley Nunes, Silva, Jonathan

“…Fire in Brazilian Pantanal represents a serious threat to biodiversity. The Brazilian National Institute of Spatial Research (INPE) has a program named…”
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Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data by Teodoro, Paulo Eduardo, Teodoro, Larissa Pereira Ribeiro, Baio, Fábio Henrique Rojo, da Silva Junior, Carlos Antonio, dos Santos, Regimar Garcia, Ramos, Ana Paula Marques, Pinheiro, Mayara Maezano Faita, Osco, Lucas Prado, Gonçalves, Wesley Nunes, Carneiro, Alexsandro Monteiro, Junior, José Marcato, Pistori, Hemerson, Shiratsuchi, Luciano Shozo

“…In soybean, there is a lack of research aiming to compare the performance of machine learning (ML) and deep learning (DL) methods to predict more than one…”
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Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images by Zamboni, Pedro, Junior, José Marcato, Silva, Jonathan de Andrade, Miyoshi, Gabriela Takahashi, Matsubara, Edson Takashi, Nogueira, Keiller, Gonçalves, Wesley Nunes

“…Urban forests contribute to maintaining livability and increase the resilience of cities in the face of population growth and climate change. Information about…”
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ATSS Deep Learning-Based Approach to Detect Apple Fruits by Biffi, Leonardo Josoé, Mitishita, Edson, Liesenberg, Veraldo, Santos, Anderson Aparecido dos, Gonçalves, Diogo Nunes, Estrabis, Nayara Vasconcelos, Silva, Jonathan de Andrade, Osco, Lucas Prado, Ramos, Ana Paula Marques, Centeno, Jorge Antonio Silva, Schimalski, Marcos Benedito, Rufato, Leo, Neto, Sílvio Luís Rafaeli, Marcato Junior, José, Gonçalves, Wesley Nunes

“…In recent years, many agriculture-related problems have been evaluated with the integration of artificial intelligence techniques and remote sensing systems…”
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Texture analysis and classification using deterministic tourist walk by Backes, André Ricardo, Gonçalves, Wesley Nunes, Martinez, Alexandre Souto, Bruno, Odemir Martinez

“…In this paper, we present a study on a deterministic partially self-avoiding walk (tourist walk), which provides a novel method for texture feature extraction…”
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Combining fractal and deterministic walkers for texture analysis and classification by Gonçalves, Wesley Nunes, Bruno, Odemir Martinez

“…In this paper, we present a novel texture analysis method based on deterministic partially self-avoiding walks and fractal dimension theory. After finding the…”
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Deep Learning Approaches to Spatial Downscaling of GRACE Terrestrial Water Storage Products Using EALCO Model Over Canada by Hongjie He, Ke Yang, Shusen Wang, Hasti Andon Petrosians, Ming Liu, Junhua Li, José Marcato Junior, Wesley Nunes Gonçalves, Lanying Wang, Jonathan Li

“…Estimating terrestrial water storage (TWS) with high spatial resolution is crucial for hydrological and water resource management. Comparing to traditional…”
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