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| 2. |  | SILVA, A. N. da; IBELLI, A. M. G.; SAVOLDI, I. R.; CANTAO, M. E.; ZANELLA, E. L.; MARQUES, M. G.; SILVA, M. V. G. B.; PEIXOTO, J. de O.; LEDUR, M. C.; LOPES, J. S.; VARGAS, J. E.; ZANELLA, R. Whole-exome sequencing indicated new candidate genes associated with unilateral cryptorchidism in pigs. Sexual Development, 9 Feb 2023.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Suínos e Aves. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
14/12/2015 |
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Data da última atualização: |
21/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
VARGAS, J. E.; FALCÃO, A. X.; ESQUERDO, J. C. D. M.; COUTINHO, A. C.; ANTUNES, J. F. G. |
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Afiliação: |
Unicamp; UFMG; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA; ALEXANDRE CAMARGO COUTINHO, CNPTIA; JOAO FRANCISCO GONCALVES ANTUNES, CNPTIA. |
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Título: |
Contextual superpixel description for remote sensing image classification. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2015, Milan. Proceedings... Washington, DC: Institute of Electrical and Electronics Engineers, 2015. |
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Páginas: |
p. 1132-1135. |
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Idioma: |
Inglês |
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Notas: |
IGARSS 2015. |
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Conteúdo: |
Abstract: The performance of pattern classifiers depends on the separability of the classes in the feature space - a property related to the quality of the descriptors - and the choice of informative training samples for user labeling - a procedure that usually requires active learning. This work is devoted to improve the quality of the descriptors when samples are superpixels from remote sensing images. We introduce a new scheme for superpixel description based on Bag of visual Words, which includes information from adjacent superpixels, and validate it by using two remote sensing images and several region descriptors as baselines. |
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Palavras-Chave: |
Contextual information; Superpixel description. |
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Thesaurus NAL: |
remote sensing. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01406nam a2200217 a 4500
001 2031561
005 2020-01-21
008 2015 bl uuuu u00u1 u #d
100 1 $aVARGAS, J. E.
245 $aContextual superpixel description for remote sensing image classification.$h[electronic resource]
260 $aIn: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2015, Milan. Proceedings... Washington, DC: Institute of Electrical and Electronics Engineers$c2015
300 $ap. 1132-1135.
500 $aIGARSS 2015.
520 $aAbstract: The performance of pattern classifiers depends on the separability of the classes in the feature space - a property related to the quality of the descriptors - and the choice of informative training samples for user labeling - a procedure that usually requires active learning. This work is devoted to improve the quality of the descriptors when samples are superpixels from remote sensing images. We introduce a new scheme for superpixel description based on Bag of visual Words, which includes information from adjacent superpixels, and validate it by using two remote sensing images and several region descriptors as baselines.
650 $aremote sensing
653 $aContextual information
653 $aSuperpixel description
700 1 $aFALCÃO, A. X.
700 1 $aESQUERDO, J. C. D. M.
700 1 $aCOUTINHO, A. C.
700 1 $aANTUNES, J. F. G.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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