Maciel Zortea

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 15

Top Topics

Geometric Features

Simultaneous Segmentation

Pigmented Skin Lesions

Top Venues

Pattern Recognit.

IEEE Geosci. Remote. Sens. Lett.

Publications

Michal Muszynski, Levente Klein, Ademir Ferreira da Silva, Anjani Prasad Atluri, Carlos Gomes, Daniela Szwarcman, Gurkanwar Singh, Kewen Gu, Maciel Zortea, Naomi Simumba, Paolo Fraccaro, Shraddha Singh, Steve Meliksetian, Campbell D. Watson, Daiki Kimura, Harini Srinivasan
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation. CoRR (2024)
Ademir Ferreira da Silva, Maciel Zortea, Alexandre Alkmim Chamon, Levente J. Klein, Ken C. L. Wong, Hongzhi Wang, Jitendra Singh
Comparison of Biome-Specific AI Models to Estimate Biomass. IGARSS (2023)
Maciel Zortea, Michal Muszynski, Paolo Fraccaro, Jonas Weiss
Flood Mapping Using Sentinel-1 Images and Lightweight U-Nets Trained on Synthesized Events. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Maciel Zortea, João Lucas de Sousa Almeida, Levente J. Klein, Alberto Costa Nogueira Junior
Detection of methane plumes using Sentinel-2 satellite images and deep neural networks trained on synthetically created label data. BigData (2023)
Laura Elena Cué La Rosa, Dário A. B. Oliveira, Maciel Zortea, Bruno Holtz Gemignani, Raul Queiroz Feitosa
Learning Geometric Features for Improving the Automatic Detection of Citrus Plantation Rows in UAV Images. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Michal Muszynski, Tobias Hölzer, Jonas Weiss, Paolo Fraccaro, Maciel Zortea, Thomas Brunschwiler
Flood Event Detection from Sentinel 1 and Sentinel 2 Data: Does Land Use Matter for Performance of U-Net based Flood Segmenters? Big Data (2022)
Maciel Zortea, Paolo Fraccaro, Thomas Brunschwiler, Michal Muszynski, Jonas R. M. Weiss
Surface Water Mapping in Sentinel-1 Images: A Probabilistic Approach Combining Classic Detection Methods. IGARSS (2022)
Júlio Hoffimann, Maciel Zortea, Breno de Carvalho, Bianca Zadrozny
Geostatistical Learning: Challenges and Opportunities. CoRR (2021)
Júlio Hoffimann, Maciel Zortea, Breno de Carvalho, Bianca Zadrozny
Geostatistical Learning: Challenges and Opportunities. Frontiers Appl. Math. Stat. 7 (2021)
Miguel Paredes Quiñones, Maciel Zortea, Leonardo S. A. Martins
Fast-Slow Streamflow Model Using Mass-Conserving LSTM. CoRR (2021)
Maciel Zortea, Miguel Paredes Quiñones, Leonardo S. A. Martins
Hindcast of Soil Moisture Using SMAP, Land Surface Model Output Data, and Regression Methods. IGARSS (2021)
Eliezer S. Flores, Maciel Zortea, Jacob Scharcanski
Dictionaries of deep features for land-use scene classification of very high spatial resolution images. Pattern Recognit. 89 (2019)
Cesar Salgado, Maciel Zortea, Jacob Scharcanski
Classify-normalize-classify - A novel data-driven framework for classifying forest pixels in remote sensing imagery. Earth Sci. Informatics 11 (1) (2018)
Maciel Zortea, Marcelo Nery, Bernardo Ruga, Lara B. Carvalho, Adriano C. Bastos
Oil-Palm Tree Detection in Aerial Images Combining Deep Learning Classifiers. IGARSS (2018)
Maciel Zortea, Eliezer S. Flores, Jacob Scharcanski
A simple weighted thresholding method for the segmentation of pigmented skin lesions in macroscopic images. Pattern Recognit. 64 (2017)
Daniel C. Zanotta, Matheus Pinheiro Ferreira, Maciel Zortea, Jean A. Espinoza, Yosio Shimabukuro
A supervised Bayesian approach for simultaneous segmentation and classification. IGARSS (2015)
Matheus Pinheiro Ferreira, Daniel C. Zanotta, Maciel Zortea, Thales Sehn Körting, Leila Maria Garcia Fonseca, Yosio Edemir Shimabukuro, Carlos Roberto de Souza Filho
Automatic tree crown delineation in tropical forest using hyperspectral data. IGARSS (2014)
Maciel Zortea, Thomas R. Schopf, Kevin Thon, Marc Geilhufe, Kristian Hindberg, Herbert M. Kirchesch, Kajsa Møllersen, Jörn Schulz, Stein Olav Skrøvseth, Fred Godtliebsen
Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists. Artif. Intell. Medicine 60 (1) (2014)
Daniel C. Zanotta, Matheus Pinheiro Ferreira, Maciel Zortea, Yosio Shimabukuro
A statistical approach for simultaneous segmentation and classification. IGARSS (2014)
Ben Somers, Maciel Zortea, Antonio Plaza, Gregory P. Asner
Automated Extraction of Image-Based Endmember Bundles for Improved Spectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5 (2) (2012)
Inmaculada Dopido, Maciel Zortea, Alberto Villa, Antonio Plaza, Paolo Gamba
Unmixing Prior to Supervised Classification of Remotely Sensed Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 8 (4) (2011)
Fernando García-Vílchez, Jordi Muñoz-Marí, Maciel Zortea, Ian Blanes, Vicente González Ruiz, Gustavo Camps-Valls, Antonio Plaza, Joan Serra-Sagristà
On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing. IEEE Geosci. Remote. Sens. Lett. 8 (2) (2011)
Maciel Zortea, Stein Olav Skrøvseth, Thomas R. Schopf, Herbert M. Kirchesch, Fred Godtliebsen
Automatic Segmentation of Dermoscopic Images by Iterative Classification. Int. J. Biomed. Imaging 2011 (2011)
Gabriel Martín, Antonio Plaza, Maciel Zortea
Noise-robust spatial preprocessing prior to endmember extraction from hyperspectral data. IGARSS (2011)
Maciel Zortea, Devis Tuia, Fabio Pacifici, Antonio J. Plaza
Spectral-textural endmember extraction. WHISPERS (2010)
Maciel Zortea, Antonio J. Plaza
Spatial-spectral endmember extraction from remotely sensed hyperspectral images using the watershed transformation. IGARSS (2010)
Maciel Zortea, Antonio Plaza
A Quantitative and Comparative Analysis of Different Implementations of N-FINDR: A Fast Endmember Extraction Algorithm. IEEE Geosci. Remote. Sens. Lett. 6 (4) (2009)
Antonio J. Plaza, Gabriel Martín, Maciel Zortea
On the incorporation of spatial information to endmember extraction: Survey and algorithm comparison. WHISPERS (2009)
Maciel Zortea, Antonio Plaza
Spatial Preprocessing for Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. 47 (8-1) (2009)
Gabriel Martín, Antonio Plaza, Maciel Zortea
Analysis of Different Strategies for Incorporating Spatial Information in the Design of Endmember Extraction Algorithms from Hyperspectral Data. IGARSS (4) (2009)
Maciel Zortea, Victor Haertel, Robin T. Clarke
Feature Extraction in Remote Sensing High-Dimensional Image Data. IEEE Geosci. Remote. Sens. Lett. 4 (1) (2007)
Maciel Zortea, Michaela De Martino, Sebastiano B. Serpico
A SVM ensemble approach for spectral-contextual classification of optical high spatial resolution imagery. IGARSS (2007)
Sebastiano B. Serpico, Michaela De Martino, Gabriele Moser, Maciel Zortea
Land Surface Temperature Estimation from Passive Satellite Images using Support Vector Machines. IGARSS (2006)
Maciel Zortea, Victor Haertel
Experiments on feature extraction in remotely sensed hyperspectral image data. IGARSS (2004)