Zobrazeno 1 - 10
of 10
pro vyhledávání: '"C. M. Takemura"'
Autor:
Edson Patto Pacheco, Antônio Heriberto de Castro Teixeira, C. M. Takemura, E. A. M. Garcon, Janice F. Leivas
Publikováno v:
Advances in Remote Sensing for Natural Resource Monitoring
Publikováno v:
Brazilian Journal of Animal and Environmental Research. 4:789-797
A regiao oeste da Bahia destaca-se pela agricultura de larga escala, que emprega tecnologia de ponta e apresenta elevados indices de produtividade para a producao de soja, milho e algodao. A regiao esta situada em uma ampla bacia hidrografica formada
Publikováno v:
Ciências Agrárias: o avanço da ciência no Brasil-Volume 4 ISBN: 9786553601734
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a782c14b185561779328f63804f4fc2e
https://doi.org/10.37885/220709585
https://doi.org/10.37885/220709585
Autor:
C. M. Takemura, I. A. Alvarez, Carlos Fernando Quartaroli, Antônio Heriberto de Castro Teixeira, E. A. M. Garcon, Janice F. Leivas
Publikováno v:
International journal of biometeorology. 64(12)
This paper aimed to support the rational crop expansion in agricultural-growing regions. MODIS satellite images are used together with gridded weather data to model biometeorological parameters at the Fruit Circuit region, state of Sao Paulo, Southea
Autor:
Edson Patto Pacheco, C. M. Takemura, Gustavo Bayma-Silva, Antônio Heriberto de Castro Teixeira, E. A. M. Garcon, Janice F. Leivas
Publikováno v:
Remote Sensing Applications: Society and Environment. 18:100296
We used the SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm together with the Monteith's RUE (Radiation Use Efficiency) model, for large-scale water productivity assessments in different social and environmental conditions of the
Autor:
Daniela Maciel Pinto, Viviane de Oliveira Solano, C. M. Takemura, Vera Viana dos Santos Brandão
Publikováno v:
PontodeAcesso. 13:144
O grande desafio imposto às organizações é o de saber transformar, compreender, interpretar e utilizar a enorme massa documental e informacional disponível. No contexto da Embrapa Territorial, as técnicas oriundas da Bibliometria e Cientometria
Autor:
L. da F. Costa, E. Hingst-Zaher, S. F. dos Reis, Roberto M. Cesar, C. M. Takemura, Vinícius Bonato, R. A. T. Arantes
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In this paper, we present a new shape analysis approach using the well-known wavelet transform and exploring shape representation by landmarks. First, we describe the approach adopted to represent the landmarks data as parametric signals. Then, we sh
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The analysis of spatial relations among objects in an image is an important vision problem that involves both shape analysis and structural pattern recognition. In this paper, we propose a new approach to characterize the spatial relation along, an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1cb19c0bc1ea39fa8e7b93d353d69a0
Publikováno v:
Pattern Recognition
Pattern Recognition, 2008, 41 (8), ⟨10.1016/j.patcog.2008.01.020⟩
Pattern Recognition, Elsevier, 2008, 41 (8), ⟨10.1016/j.patcog.2008.01.020⟩
Pattern Recognition, 2008, 41 (8), ⟨10.1016/j.patcog.2008.01.020⟩
Pattern Recognition, Elsevier, 2008, 41 (8), ⟨10.1016/j.patcog.2008.01.020⟩
International audience; Segmenting the heart in medical images is a challenging and important task for many applications. In particular, segmenting the heart in CT images is very useful for cardiology and oncological applications such as radiotherapy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed638abc16f7d0e0ad08795223e01723
https://inria.hal.science/hal-01251275/document
https://inria.hal.science/hal-01251275/document
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540298502
CIARP
CIARP
The analysis of spatial relations among objects in an image is a important vision problem that involves both shape analysis and structural pattern recognition. In this paper, we propose a new approach to characterize the spatial relation along, an im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4ec7f3fbd43b0787208d363a2d2485b
https://doi.org/10.1007/11578079_87
https://doi.org/10.1007/11578079_87