% ======================================================================
% Referências -- Artigo: Classificação de Imagens RGB com SVM
% e Atributos Extraídos por Transfer Learning (MobileNetV2)
% Curso CEAO-802 | Instituto Tecnológico de Aeronáutica
% ======================================================================

% -------- Referência-base do trabalho (galoa / SBSR 2023) --------

@inproceedings{lacerda2023,
  author    = {Lacerda, Marielcio Gon{\c{c}}alves and
               Habermann, Mateus and
               Lacerda, Camila Souza dos Anjos and
               Roos, Daniel Rodrigues and
               K{\"o}rting, Thales Sehn and
               Kux, Hermann Johann Heinrich},
  title     = {Classifica{\c{c}}{\~a}o de Imagens Utilizando Imagens {RGB}
               e Termal Obtidas por {ARPS} de Pequeno Porte},
  booktitle = {Anais do XX Simp{\'o}sio Brasileiro de Sensoriamento Remoto (SBSR)},
  year      = {2023},
  address   = {Florian{\'o}polis, SC, Brasil},
  pages     = {3368--3371},
  url       = {https://proceedings.science/p/164924}
}

% -------- Teoria SVM --------

@book{vapnik1995,
  author    = {Vapnik, Vladimir N.},
  title     = {The Nature of Statistical Learning Theory},
  publisher = {Springer},
  address   = {New York},
  year      = {1995},
  doi       = {10.1007/978-1-4757-2440-0}
}

@article{cortes1995,
  author    = {Cortes, Corinna and Vapnik, Vladimir},
  title     = {Support-Vector Networks},
  journal   = {Machine Learning},
  volume    = {20},
  number    = {3},
  pages     = {273--297},
  year      = {1995},
  doi       = {10.1007/BF00994018}
}

% -------- SVM em Sensoriamento Remoto --------

@article{melgani2004,
  author    = {Melgani, Farid and Bruzzone, Lorenzo},
  title     = {Classification of Hyperspectral Remote Sensing Images
               with Support Vector Machines},
  journal   = {{IEEE} Transactions on Geoscience and Remote Sensing},
  volume    = {42},
  number    = {8},
  pages     = {1778--1790},
  year      = {2004},
  doi       = {10.1109/TGRS.2004.831865}
}

@article{campsvalls2005,
  author    = {Camps-Valls, Gustavo and Bruzzone, Lorenzo},
  title     = {Kernel-Based Methods for Hyperspectral Image Classification},
  journal   = {{IEEE} Transactions on Geoscience and Remote Sensing},
  volume    = {43},
  number    = {6},
  pages     = {1351--1362},
  year      = {2005},
  doi       = {10.1109/TGRS.2005.846154}
}

% -------- Transfer Learning / Redes Convolucionais --------

@inproceedings{sandler2018,
  author    = {Sandler, Mark and Howard, Andrew and Zhu, Menglong and
               Zhmoginov, Andrey and Chen, Liang-Chieh},
  title     = {{MobileNetV2}: Inverted Residuals and Linear Bottlenecks},
  booktitle = {Proceedings of the {IEEE} Conference on Computer Vision
               and Pattern Recognition (CVPR)},
  year      = {2018},
  pages     = {4510--4520},
  doi       = {10.1109/CVPR.2018.00474}
}

@article{cheng2020,
  author    = {Cheng, Gong and Xie, Xingxing and Han, Junwei and
               Guo, Lei and Xia, Gui-Song},
  title     = {Remote Sensing Image Scene Classification Meets Deep Learning:
               Challenges, Methods, Benchmarks, and Opportunities},
  journal   = {{IEEE} Journal of Selected Topics in Applied Earth Observations
               and Remote Sensing},
  volume    = {13},
  pages     = {3735--3756},
  year      = {2020},
  doi       = {10.1109/JSTARS.2020.3005403}
}

% -------- Random Forest --------

@article{breiman2001,
  author  = {Breiman, Leo},
  title   = {Random Forests},
  journal = {Machine Learning},
  volume  = {45},
  number  = {1},
  pages   = {5--32},
  year    = {2001},
  doi     = {10.1023/A:1010933404324}
}

% -------- Linguagem R --------

@manual{r_core,
  title        = {R: A Language and Environment for Statistical Computing},
  author       = {{R Core Team}},
  organization = {R Foundation for Statistical Computing},
  address      = {Vienna, Austria},
  year         = {2024},
  url          = {https://www.R-project.org/}
}