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ORCIDMaciel Zortea
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2020 – today
- 2024
[c18]Ademir Ferreira da Silva, Maciel Zortea, Julian Kuehnert, Anjani Prasad Atluri, Gurkwandar Singh, Harini Srinivasan, Levente J. Klein:
Geospatial Foundational Model for Canopy Height Estimates Across Kenya's Ecoregions. IGARSS 2024: 2853-2857- [i3]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, Steve Meliksetian, Campbell D. Watson, Daiki Kimura, Harini Srinivasan:
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation. CoRR abs/2406.19888 (2024) - 2023
- [j14]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: 1-5 (2023) - [c17]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. IEEE Big Data 2023: 3830-3839 - [c16]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: 1313-1316 - 2022
- [j13]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: 1-5 (2022) - [c15]Michal Muszynski, Tobias Hölzer, Jonas R. M. 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? IEEE Big Data 2022: 4860-4867 - [c14]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: 5889-5892 - 2021
- [j12]Júlio Hoffimann, Maciel Zortea, Breno de Carvalho, Bianca Zadrozny:
Geostatistical Learning: Challenges and Opportunities. Frontiers Appl. Math. Stat. 7: 689393 (2021) - [c13]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: 6100-6103 - [i2]Júlio Hoffimann, Maciel Zortea, Breno de Carvalho, Bianca Zadrozny:
Geostatistical Learning: Challenges and Opportunities. CoRR abs/2102.08791 (2021) - [i1]Miguel Paredes Quiñones, Maciel Zortea, Leonardo S. A. Martins:
Fast-Slow Streamflow Model Using Mass-Conserving LSTM. CoRR abs/2107.06057 (2021)
2010 – 2019
- 2019
- [j11]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: 32-44 (2019) - 2018
- [j10]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): 77-97 (2018) - [c12]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: 657-660 - 2017
- [j9]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: 92-104 (2017) - 2015
- [c11]Daniel C. Zanotta, Matheus Pinheiro Ferreira, Maciel Zortea, Jean A. Espinoza, Yosio Shimabukuro:
A supervised Bayesian approach for simultaneous segmentation and classification. IGARSS 2015: 2382-2384 - 2014
- [j8]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): 13-26 (2014) - [c10]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: 784-787 - [c9]Daniel C. Zanotta, Matheus Pinheiro Ferreira, Maciel Zortea, Yosio Shimabukuro:
A statistical approach for simultaneous segmentation and classification. IGARSS 2014: 4899-4901 - 2012
- [j7]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): 396-408 (2012) - 2011
- [j6]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: 972648:1-972648:19 (2011) - [j5]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): 253-257 (2011) - [j4]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): 760-764 (2011) - [c8]Gabriel Martín, Antonio Plaza, Maciel Zortea:
Noise-robust spatial preprocessing prior to endmember extraction from hyperspectral data. IGARSS 2011: 1287-1290 - 2010
- [c7]Maciel Zortea, Antonio J. Plaza:
Spatial-spectral endmember extraction from remotely sensed hyperspectral images using the watershed transformation. IGARSS 2010: 963-966 - [c6]Maciel Zortea, Devis Tuia, Fabio Pacifici, Antonio J. Plaza:
Spectral-textural endmember extraction. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j3]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): 787-791 (2009) - [j2]Maciel Zortea, Antonio Plaza:
Spatial Preprocessing for Endmember Extraction. IEEE Trans. Geosci. Remote. Sens. 47(8-1): 2679-2693 (2009) - [c5]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: 877-880 - [c4]Antonio J. Plaza, Gabriel Martín, Maciel Zortea:
On the incorporation of spatial information to endmember extraction: Survey and algorithm comparison. WHISPERS 2009: 1-4 - 2007
- [j1]Maciel Zortea, Victor Haertel, Robin T. Clarke:
Feature Extraction in Remote Sensing High-Dimensional Image Data. IEEE Geosci. Remote. Sens. Lett. 4(1): 107-111 (2007) - [c3]Maciel Zortea, Michaela De Martino, Sebastiano B. Serpico:
A SVM ensemble approach for spectral-contextual classification of optical high spatial resolution imagery. IGARSS 2007: 1489-1492 - 2006
- [c2]Sebastiano B. Serpico, Michaela De Martino, Gabriele Moser, Maciel Zortea:
Land Surface Temperature Estimation from Passive Satellite Images using Support Vector Machines. IGARSS 2006: 2109-2112 - 2004
- [c1]Maciel Zortea, Victor Haertel:
Experiments on feature extraction in remotely sensed hyperspectral image data. IGARSS 2004: 964-967
Coauthor Index
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