Efficient and Effective Hierarchical Feature Propagation

Autor(es)

dos Santos, Jefersson A. ; Penatti, Otavio A. B. ; Gosselin, Philippe-Henri ; Falcao, Alexandre X. ; Philipp-Foliguet, Sylvie ; Torres, Ricardo da S.

• Tipo de documento: Artigo Científico
• Fonte: IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING; v. 7, n. 12, p. 12-pg., 2014-12-01.

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: 12/18768-0 - Classificação Multi-Escala Utilizando Floresta de Caminhos Ótimos
• Beneficiário: Jefersson A dos Santos
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 13/50169-1 - Towards an understanding of tipping points within tropical South American biomes
• Beneficiário: Ricardo da Silva Torres
• Modalidade de apoio: Auxílio à Pesquisa - Parceria para Inovação Tecnológica - PITE
• Processo FAPESP: 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems
• Beneficiário: Leonor Patricia Cerdeira Morellato
• Modalidade de apoio: Auxílio à Pesquisa - Programa de Pesquisa sobre Mudanças Climáticas Globais - PITE
• Processo FAPESP: 09/10554-8 - Explorando Dicionários Visuais em Buscas de Imagens na Web
• Beneficiário: Otávio Augusto Bizetto Penatti
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 08/58528-2 - Classificacao semi-automatica de regioes em imagens de sensoriamento remoto utilizando realimentacao de relevancia
• Beneficiário: Jefersson A dos Santos
• Modalidade de apoio: Bolsas no Brasil - Doutorado