Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Teresa E. Alarcón"'
Autor:
Miguel Beltrán-Escobar, Teresa E. Alarcón, Jesse Y. Rumbo-Morales, Sonia López, Gerardo Ortiz-Torres, Felipe D. J. Sorcia-Vázquez
Publikováno v:
Algorithms, Vol 17, Iss 11, p 476 (2024)
The evolution of low-cost embedded systems is growing exponentially; likewise, their use in robotics applications aims to achieve critical task execution by implementing sophisticated control and computer vision algorithms. We review the state-of-the
Externí odkaz:
https://doaj.org/article/c4ca6ccdd9584466b9507f7ae19ed9bd
Publikováno v:
Sensors, Vol 20, Iss 21, p 6247 (2020)
Blue agave is an important commercial crop in Mexico, and it is the main source of the traditional mexican beverage known as tequila. The variety of blue agave crop known as Tequilana Weber is a crucial element for tequila agribusiness and the agricu
Externí odkaz:
https://doaj.org/article/8412d23a4e4d4a7c942999c66fc76ff7
Crop Classification in Satellite Images through Probabilistic Segmentation Based on Multiple Sources
Publikováno v:
Sensors, Vol 17, Iss 6, p 1373 (2017)
Classification methods based on Gaussian Markov Measure Field Models and other probabilistic approaches have to face the problem of construction of the likelihood. Typically, in these methods, the likelihood is computed from 1D or 3D histograms. Howe
Externí odkaz:
https://doaj.org/article/4e9216f7aa804f7db88d87e3e313e1ff
Publikováno v:
IEEE Access, Vol 9, Pp 31742-31754 (2021)
In recent years, convolutional neural networks have achieved considerable success in different computer vision tasks, including image denoising. In this work, we present a residual dense neural network (RDUNet) for image denoising based on the densel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c002ea28e905d458adddd7739d6396a
https://ieeexplore.ieee.org/document/9360532/
https://ieeexplore.ieee.org/document/9360532/
Publikováno v:
Revista Cubana de Investigaciones Biomédicas, Vol 16, Iss 1, Pp 58-62 (1997)
Se presenta una comparación de los resultados obtenidos al usar 2 métodos de segmentación de imagen en lesiones ateroscleróticas de la aorta torácica; uno supervisado y el otro no supervisado. La segmentación se empleó con preprocesamiento y s
Externí odkaz:
https://doaj.org/article/adb462c9e7554062b04b1bbdbbcd049d
Publikováno v:
Sensors (Basel, Switzerland)
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Addi. Archivo Digital para la Docencia y la Investigación
instname
Sensors, Vol 20, Iss 6247, p 6247 (2020)
Sensors
Volume 20
Issue 21
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Addi. Archivo Digital para la Docencia y la Investigación
instname
Sensors, Vol 20, Iss 6247, p 6247 (2020)
Sensors
Volume 20
Issue 21
Blue agave is an important commercial crop in Mexico, and it is the main source of the traditional mexican beverage known as tequila. The variety of blue agave crop known as Tequilana Weber is a crucial element for tequila agribusiness and the agricu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df458b3c3fa63da19b4a17a851b07c9b
https://pubmed.ncbi.nlm.nih.gov/33147788
https://pubmed.ncbi.nlm.nih.gov/33147788
Publikováno v:
Optics and Lasers in Engineering. 149:106829
Fringe patterns from different optical measurement systems are widely used in scientific and engineering applications. However, fringe patterns are often corrupted by speckle noise, which is necessary to be removed to accurately recover the informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34723b7b944fcee4f1c05e02c4e306ce
https://doi.org/10.1016/j.optlaseng.2021.106829
https://doi.org/10.1016/j.optlaseng.2021.106829
Publikováno v:
IEEE Access, Vol 6, Pp 72952-72961 (2018)
Spectral indices are widely used to emphasize water body information in satellite images. The selection of the appropriate index is one of the tasks that the remote sensing community faces when water bodies are studied. In this paper, we propose an a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00487d3418f2e883f0913302c58a6454
https://ieeexplore.ieee.org/document/8542672/
https://ieeexplore.ieee.org/document/8542672/
Publikováno v:
Computational Statistics & Data Analysis. 82:199-206
An algorithm for multi-class classification is proposed. The soft classification problem is considered, where the target variable is a multivariate random variable. The proposed algorithm transforms the original target variable into a new space using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4046405be38b5e44413aba5dcbd6e33
https://doi.org/10.1016/j.csda.2014.09.007
https://doi.org/10.1016/j.csda.2014.09.007
Publikováno v:
Sensors (Basel, Switzerland)
Addi. Archivo Digital para la Docencia y la Investigación
instname
Sensors; Volume 17; Issue 6; Pages: 1411
Addi. Archivo Digital para la Docencia y la Investigación
instname
Sensors; Volume 17; Issue 6; Pages: 1411
The use of Unmanned Aerial Vehicles (UAVs) based on remote sensing has generated low cost monitoring, since the data can be acquired quickly and easily. This paper reports the experience related to agave crop analysis with a low cost UAV. The data we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f27a454797fd28f7e4de519a62517dc
http://hdl.handle.net/10810/26169
http://hdl.handle.net/10810/26169
