Zobrazeno 1 - 9
of 9
pro vyhledávání: '"V. A. Ayma"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 357-362 (2020)
Nowadays, the increasing amount of information provided by hyperspectral sensors requires optimal solutions to ease the subsequent analysis of the produced data. A common issue in this matter relates to the hyperspectral data representation for class
Externí odkaz:
https://doaj.org/article/536a81af76f7497f9366b179a47c98c9
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3/W2, Pp 17-21 (2015)
Since many years ago, the scientific community is concerned about how to increase the accuracy of different classification methods, and major achievements have been made so far. Besides this issue, the increasing amount of data that is being generate
Externí odkaz:
https://doaj.org/article/059542c03ad34af29d7540cdc360b49e
Autor:
V. A. Ayma, Gilson Alexandre Ostwald Pedro da Costa, Bruno Feijó, Raul Queiroz Feitosa, P. N. Happ
Publikováno v:
Information Management and Big Data ISBN: 9783030762278
SIMBig
SIMBig
Visual object tracking aims to deliver accurate estimates about the state of the target in a sequence of images or video frames. Nevertheless, tracking algorithms are sensitive to different kinds of image perturbations that frequently cause tracking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44064144ccd95d68134c66ae723d36b2
https://doi.org/10.1007/978-3-030-76228-5_18
https://doi.org/10.1007/978-3-030-76228-5_18
Autor:
Paolo Gamba, Rodrigo S. Ferreira, V. A. Ayma, Gilson Alexandre Ostwald Pedro da Costa, Raul Queiroz Feitosa, P. N. Happ, Antonio Plaza, Dario Augusto Borges Oliveira
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3/W2, Pp 17-21 (2015)
Since many years ago, the scientific community is concerned about how to increase the accuracy of different classification methods, and major achievements have been made so far. Besides this issue, the increasing amount of data that is being generate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79488905ad66160858c78eda45ffb1f6
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/17/2015/isprsarchives-XL-3-W2-17-2015.pdf
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/17/2015/isprsarchives-XL-3-W2-17-2015.pdf
Publikováno v:
2016 IEEE ANDESCON.
Nutritional assessment is an important evaluation to prevent and control malnutrition, which is one of the main causes associated with child mortality. Weight and height are the most frequently measured morphological traits which in combination with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::250b064f00753864ea80cd34d6f51c60
https://doi.org/10.1109/andescon.2016.7836265
https://doi.org/10.1109/andescon.2016.7836265
Publikováno v:
2015 Latin America Congress on Computational Intelligence (LA-CCI).
Tuberculosis is a disease with one of the most leading causes of deaths in the world, however, its fatality index could be reduced if it is diagnosed and treated on time. The Ziehl-Neelsen stained sputum smear method is the most used for bacilli dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b260c7b04461c6d8e390f372e5edcb9d
https://doi.org/10.1109/la-cci.2015.7435964
https://doi.org/10.1109/la-cci.2015.7435964
Autor:
P. Achanccaray, Raul Queiroz Feitosa, Antonio Plaza, Gilson Alexandre Ostwald Pedro da Costa, Luis Ignacio Jimenez, V. A. Ayma
Publikováno v:
EUROCON
IGARSS
IGARSS
Hyperspectral imaging is a technique in remote sensing that collect hundreds of images at differents wavelength values in the same area of the Earth. For instance, the Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS) sensor of NASA capable to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e08f589a78c16be067853d106c3c459d
https://doi.org/10.1109/eurocon.2015.7313746
https://doi.org/10.1109/eurocon.2015.7313746
Autor:
Gilson Alexandre Ostwald Pedro da Costa, V. A. Ayma, Raul Queiroz Feitosa, P. N. Happ, Sergio Bernabe, P. Achanccaray, Antonio Plaza, Luis Ignacio Jimenez
Publikováno v:
IGARSS
The Segmentation Parameter Tuner (SPT) is a tool designed for automatic tuning of segmentation parameters. In SPT, the goodness of a set of parameter values is given by the level of agreement between the segmentation result and a given reference (rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42c4ff10d43535b8c729e3340a00c9ab
https://doi.org/10.1109/igarss.2015.7326785
https://doi.org/10.1109/igarss.2015.7326785