Výsledky vyhledávání - "J. D. B. Castro"

Akademický článek

EVALUATING A CONVOLUTIONAL NEURAL NETWORK FOR FEATURE EXTRACTION AND TREE SPECIES CLASSIFICATION USING UAV-HYPERSPECTRAL IMAGES

Autor: C. Sothe, L. E. C. la Rosa, C. M. de Almeida, A. Gonsamo, M. B. Schimalski, J. D. B. Castro, R. Q. Feitosa, M. Dalponte, C. L. Lima, V. Liesenberg, G. T. Miyoshi, A. M. G. Tommaselli

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2020, Pp 193-199 (2020)

The classification of tree species can significantly benefit from high spatial and spectral information acquired by unmanned aerial vehicles (UAVs) associated with advanced feature extraction and classification methods. Different from the traditional

Externí odkaz: https://doaj.org/article/e20a313bf38b49d3a3faf179e4b70c15

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Akademický článek

Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data

Autor: C. Sothe, C. M. De Almeida, M. B. Schimalski, L. E. C. La Rosa, J. D. B. Castro, R. Q. Feitosa, M. Dalponte, C. L. Lima, V. Liesenberg, G. T. Miyoshi, A. M. G. Tommaselli

Publikováno v: GIScience & Remote Sensing, Vol 57, Iss 3, Pp 369-394 (2020)

The classification of tree species can significantly benefit from high spatial and spectral information acquired by unmanned aerial vehicles (UAVs) associated with advanced classification methods. This study investigated the following topics concerni

Externí odkaz: https://doaj.org/article/24a5154f15c44a47b6f4b3c96725bbad

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Akademický článek

Using time-series imagery and 3DLSTM model to classify individual tree species.

Autor: Caiyan Chen^1,2,3, Linhai Jing² jinglh@aircas.ac.cn, Hui Li¹, Yunwei Tang², Fulong Chen^1,2,4, Bingxiang Tan⁵

Publikováno v: International Journal of Digital Earth. Jan2024, Vol. 17 Issue 1, p1-20. 20p.

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Akademický článek

Advanced CNN Architectures for Pollen Classification: Design and Comprehensive Evaluation.

Autor: Matavulj, Predrag¹ (AUTHOR) matavulj.predrag@biosense.rs, Panić, Marko¹ (AUTHOR), Šikoparija, Branko¹ (AUTHOR), Tešendić, Danijela² (AUTHOR), Radovanović, Miloš² (AUTHOR), Brdar, Sanja¹ (AUTHOR)

Publikováno v: Applied Artificial Intelligence. 2023, Vol. 37 Issue 1, p1-22. 22p.

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Akademický článek

Medical variational autoencoder and generative adversarial network for medical imaging.

Autor: Rguibi, Zakaria, Hajami, Abdelmajid, Zitouni, Dya, Maleh, Yassine, Elqaraoui, Amine

Publikováno v: Indonesian Journal of Electrical Engineering & Computer Science; Oct2023, Vol. 32 Issue 1, p494-505, 12p

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Akademický článek

Generative adversarial networks applied to gene expression analysis: An interdisciplinary perspective.

Autor: Ai, Xusheng, Smith, Melissa C, Feltus, Frank Alex

Publikováno v: Computational & Systems Oncology; Sep2023, Vol. 3 Issue 3, p1-17, 17p

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Akademický článek

SAR-to-Virtual Optical Image Translation for Improving SAR Automatic Target Recognition.

Autor: Lee, In Ho, Park, Chan Gook

Publikováno v: IEEE Geoscience & Remote Sensing Letters; 2023, Vol. 20, p1-5, 5p

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