| Texto completo | |
| Autor(es): |
dos Santos, Jefersson A.
[1]
;
Penatti, Otavio A. B.
[2]
;
Gosselin, Philippe-Henri
[3]
;
Falcao, Alexandre X.
[4]
;
Philipp-Foliguet, Sylvie
[3]
;
Torres, Ricardo da S.
[4]
Número total de Autores: 6
|
| Afiliação do(s) autor(es): | [1] Univ Fed Minas Gerais, Dept Comp Sci, BR-31270010 Belo Horizonte, MG - Brazil
[2] SAMSUNG Res Inst Brazil, BR-13097160 Campinas, SP - Brazil
[3] Univ Cergy Pontoise, ENSEA, CNRS, ETIS, F-95000 Cergy Pontoise - France
[4] Univ Estadual Campinas, Inst Comp, BR-13083852 Campinas, SP - Brazil
Número total de Afiliações: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING; v. 7, n. 12, SI, p. 4632-4643, DEC 2014. |
| Citações Web of Science: | 10 |
| Resumo | |
Many methods have been recently proposed to deal with the large amount of data provided by the new remote sensing technologies. Several of those methods rely on the use of segmented regions. However, a common issue in region-based applications is the definition of the appropriate representation scale of the data, a problem usually addressed by exploiting multiple scales of segmentation. The use of multiple scales, however, raises new challenges related to the definition of effective and efficient mechanisms for extracting features. In this paper, we address the problem of extracting features from a hierarchy by proposing two approaches that exploit the existing relationships among regions at different scales. The H-Propagation propagates any histogram-based low-level descriptors. The bag-of-visual-word (BoW)-Propagation approach uses the BoWs model to propagate features along multiple scales. The proposed methods are very efficient, as features need to be extracted only at the base of the hierarchy and yield comparable results to low-level extraction approaches. (AU) | |
| Processo FAPESP: | 08/58528-2 - Classificacao semi-automatica de regioes em imagens de sensoriamento remoto utilizando realimentacao de relevancia |
| Beneficiário: | Jefersson Alex dos Santos |
| Linha de fomento: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems |
| Beneficiário: | Leonor Patricia Cerdeira Morellato |
| Linha de fomento: | Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - PITE |
| Processo FAPESP: | 12/18768-0 - Classificação Multi-Escala Utilizando Floresta de Caminhos Ótimos |
| Beneficiário: | Jefersson Alex dos Santos |
| Linha de fomento: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 09/10554-8 - Explorando Dicionários Visuais em Buscas de Imagens na Web |
| Beneficiário: | Otávio Augusto Bizetto Penatti |
| Linha de fomento: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 13/50169-1 - Towards an understanding of tipping points within tropical South American biomes |
| Beneficiário: | Ricardo da Silva Torres |
| Linha de fomento: | Auxílio à Pesquisa - Parceria para Inovação Tecnológica - PITE |