Prof. Renato J. Machado Profile

Prof. Renato J. Machado

Professor at Instituto Tecnológico de Aeronáutica

SPIE Involvement:

Author

Publications (7)

Proceedings Article | 28 October 2022 Presentation + Paper

Hybrid feature extraction based on PCA and CNN for oil rig classification in C-Band SAR imagery

Fabiano da Silva, Lucas Ramos, Bruna Palm, Dimas Alves, Mats Pettersson, Renato Machado

Proceedings Volume 12276, 122760G (2022) https://doi.org/10.1117/12.2636274

KEYWORDS: Synthetic aperture radar, Feature extraction, Principal component analysis, Image classification, Statistical analysis, Image processing, Machine learning, Convolutional neural networks, Automatic target recognition

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Proceedings Article | 28 October 2022 Presentation + Paper

High-frequency surface wave radar performance analysis for CA-CFAR algorithm in Weibull-distributed clutter

Diego da Silva de Medeiros, Rômulo Fernandes da Costa, Dimas Irion Alves, Renato Machado, Osamu Saotome

Proceedings Volume 12263, 1226302 (2022) https://doi.org/10.1117/12.2636035

KEYWORDS: Radar, Doppler effect, Monte Carlo methods, Sensors, Analytical research, Scattering, Receivers, Statistical analysis, Sensor performance, Wave propagation

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Proceedings Article | 26 October 2022 Paper

Assessment of preprocessing techniques in a model-based automatic target recognition algorithm for the SAMPLE dataset

Gustavo Araujo, Renato Machado, Mats Pettersson

Proceedings Volume 12267, 1226705 (2022) https://doi.org/10.1117/12.2636233

KEYWORDS: Automatic target recognition, Synthetic aperture radar, Model-based design, Image classification

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Proceedings Article | 12 September 2021 Presentation + Paper

Change detection method for intensity VHF wavelength-resolution SAR images

Gustavo Henrique Mittmann Voigt, Dimas Irion Alves, Crístian Müller, Renato Machado, Viet Vu, Mats Pettersson

Proceedings Volume 11862, 118620P (2021) https://doi.org/10.1117/12.2599952

KEYWORDS: Synthetic aperture radar, Surveillance, Target detection, Binary data, Radar, Image resolution, Visualization, Vegetation, UWB radar, UHF band

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Proceedings Article | 20 September 2020 Presentation + Paper

Change detection in UWB VHF SAR images exploiting flight heading diversity through robust principal component analysis

Lucas Ramos, Christofer Schwartz, Dimas Alves, Leonardo Duarte, Mats Pettersson, Viet Vu, Renato Machado

Proceedings Volume 11533, 115330G (2020) https://doi.org/10.1117/12.2574716

KEYWORDS: Synthetic aperture radar, Principal component analysis, Detection and tracking algorithms, Target detection, Signal detection, Backscatter, Receivers

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