Experiments on feature extraction in remotely sensed hyperspectral image data. - Maciel Zortea; Victor Haertel (IGARSS, 2004)

Land Surface Temperature Estimation from Passive Satellite Images using Support Vector Machines. - Sebastiano B. Serpico; Michaela De Martino; Gabriele Moser; Maciel Zortea (IGARSS, 2006)

A SVM ensemble approach for spectral-contextual classification of optical high spatial resolution imagery. - Maciel Zortea; Michaela De Martino; Sebastiano B. Serpico (IGARSS, 2007)

Feature Extraction in Remote Sensing High-Dimensional Image Data. - Maciel Zortea; Victor Haertel; Robin T. Clarke (IEEE Geosci. Remote. Sens. Lett., 2007)

Analysis of Different Strategies for Incorporating Spatial Information in the Design of Endmember Extraction Algorithms from Hyperspectral Data. - Gabriel Martín; Antonio Plaza; Maciel Zortea (IGARSS (4), 2009)

On the incorporation of spatial information to endmember extraction: Survey and algorithm comparison. - Antonio J. Plaza; Gabriel Martín; Maciel Zortea (WHISPERS, 2009)

A Quantitative and Comparative Analysis of Different Implementations of N-FINDR: A Fast Endmember Extraction Algorithm. - Maciel Zortea; Antonio Plaza (IEEE Geosci. Remote. Sens. Lett., 2009)

Spatial Preprocessing for Endmember Extraction. - Maciel Zortea; Antonio Plaza (IEEE Trans. Geosci. Remote. Sens., 2009)

Spatial-spectral endmember extraction from remotely sensed hyperspectral images using the watershed transformation. - Maciel Zortea; Antonio J. Plaza (IGARSS, 2010)

Spectral-textural endmember extraction. - Maciel Zortea; Devis Tuia; Fabio Pacifici; Antonio J. Plaza (WHISPERS, 2010)

Noise-robust spatial preprocessing prior to endmember extraction from hyperspectral data. - Gabriel Martín; Antonio Plaza; Maciel Zortea (IGARSS, 2011)

Automatic Segmentation of Dermoscopic Images by Iterative Classification. - Maciel Zortea; Stein Olav Skrøvseth; Thomas R. Schopf; Herbert M. Kirchesch; Fred Godtliebsen (Int. J. Biomed. Imaging, 2011)

Unmixing Prior to Supervised Classification of Remotely Sensed Hyperspectral Images. - Inmaculada Dopido; Maciel Zortea; Alberto Villa; Antonio Plaza; Paolo Gamba (IEEE Geosci. Remote. Sens. Lett., 2011)

On the Impact of Lossy Compression on Hyperspectral Image Classification and Unmixing. - Fernando García-Vílchez; Jordi Muñoz-Marí; Maciel Zortea; Ian Blanes; Vicente González Ruiz; Gustavo Camps-Valls; Antonio Plaza; Joan Serra-Sagristà (IEEE Geosci. Remote. Sens. Lett., 2011)

Automated Extraction of Image-Based Endmember Bundles for Improved Spectral Unmixing. - Ben Somers; Maciel Zortea; Antonio Plaza; Gregory P. Asner (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Automatic tree crown delineation in tropical forest using hyperspectral data. - Matheus Pinheiro Ferreira; Daniel C. Zanotta; Maciel Zortea; Thales Sehn Körting; Leila Maria Garcia Fonseca; Yosio Edemir Shimabukuro; Carlos Roberto de Souza Filho (IGARSS, 2014)

A statistical approach for simultaneous segmentation and classification. - Daniel C. Zanotta; Matheus Pinheiro Ferreira; Maciel Zortea; Yosio Shimabukuro (IGARSS, 2014)

Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists. - Maciel Zortea; Thomas R. Schopf; Kevin Thon; Marc Geilhufe; Kristian Hindberg; Herbert M. Kirchesch; Kajsa Møllersen; Jörn Schulz; Stein Olav Skrøvseth; Fred Godtliebsen (Artif. Intell. Medicine, 2014)

A supervised Bayesian approach for simultaneous segmentation and classification. - Daniel C. Zanotta; Matheus Pinheiro Ferreira; Maciel Zortea; Jean A. Espinoza; Yosio Shimabukuro (IGARSS, 2015)

A simple weighted thresholding method for the segmentation of pigmented skin lesions in macroscopic images. - Maciel Zortea; Eliezer Soares Flores; Jacob Scharcanski (Pattern Recognit., 2017)

Oil-Palm Tree Detection in Aerial Images Combining Deep Learning Classifiers. - Maciel Zortea; Marcelo Nery; Bernardo Ruga; Lara B. Carvalho; Adriano C. Bastos (IGARSS, 2018)

Classify-normalize-classify - A novel data-driven framework for classifying forest pixels in remote sensing imagery. - Cesar Salgado; Maciel Zortea; Jacob Scharcanski (Earth Sci. Informatics, 2018)

Dictionaries of deep features for land-use scene classification of very high spatial resolution images. - Eliezer Soares Flores; Maciel Zortea; Jacob Scharcanski (Pattern Recognit., 2019)

Hindcast of Soil Moisture Using SMAP, Land Surface Model Output Data, and Regression Methods. - Maciel Zortea; Miguel Paredes Quiñones; Leonardo S. A. Martins (IGARSS, 2021)

Fast-Slow Streamflow Model Using Mass-Conserving LSTM. - Miguel Paredes Quiñones; Maciel Zortea; Leonardo S. A. Martins (CoRR, 2021)

Geostatistical Learning: Challenges and Opportunities. - Júlio Hoffimann; Maciel Zortea; Breno de Carvalho; Bianca Zadrozny (Frontiers Appl. Math. Stat., 2021)

Flood Event Detection from Sentinel 1 and Sentinel 2 Data: Does Land Use Matter for Performance of U-Net based Flood Segmenters? - Michal Muszynski; Tobias Hölzer; Jonas R. M. Weiss; Paolo Fraccaro; Maciel Zortea; Thomas Brunschwiler (IEEE Big Data, 2022)

Surface Water Mapping in Sentinel-1 Images: A Probabilistic Approach Combining Classic Detection Methods. - Maciel Zortea; Paolo Fraccaro; Thomas Brunschwiler; Michal Muszynski; Jonas R. M. Weiss (IGARSS, 2022)

Learning Geometric Features for Improving the Automatic Detection of Citrus Plantation Rows in UAV Images. - Laura Elena Cué La Rosa; Dário A. B. Oliveira; Maciel Zortea; Bruno Holtz Gemignani; Raul Queiroz Feitosa (IEEE Geosci. Remote. Sens. Lett., 2022)

Detection of methane plumes using Sentinel-2 satellite images and deep neural networks trained on synthetically created label data. - Maciel Zortea; João Lucas de Sousa Almeida; Levente J. Klein; Alberto Costa Nogueira Junior (IEEE Big Data, 2023)

Comparison of Biome-Specific AI Models to Estimate Biomass. - Ademir Ferreira da Silva; Maciel Zortea; Alexandre Alkmim Chamon; Levente J. Klein; Ken C. L. Wong; Hongzhi Wang 002; Jitendra Singh (IGARSS, 2023)

Flood Mapping Using Sentinel-1 Images and Lightweight U-Nets Trained on Synthesized Events. - Maciel Zortea; Michal Muszynski; Paolo Fraccaro; Jonas Weiss (IEEE Geosci. Remote. Sens. Lett., 2023)

Geospatial Foundational Model for Canopy Height Estimates Across Kenya's Ecoregions. - Ademir Ferreira da Silva; Maciel Zortea; Julian Kuehnert; Anjani Prasad Atluri; Gurkwandar Singh; Harini Srinivasan; Levente J. Klein (IGARSS, 2024)

Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation. - Michal Muszynski; Levente J. Klein; Ademir Ferreira da Silva; Anjani Prasad Atluri; Carlos Gomes; Daniela Szwarcman; Gurkanwar Singh; Kewen Gu; Maciel Zortea; Naomi Simumba; Paolo Fraccaro; Shraddha Singh; et al. (CoRR, 2024)

Learnable Matched Filter for Methane Plume Segmentation in Hyperspectral Imagery. - Ronald Albert de Araújo; Maciel Zortea (IEEE Geosci. Remote. Sens. Lett., 2025)