Hyperspectral Data Classification Using Extended Extinction Profiles

Autor(es)

Ghamisi, Pedram ; Souza, Roberto ; Benediktsson, Jon Atli ; Rittner, Leticia ; Lotufo, Roberto ; Zhu, Xiao Xiang

• Tipo de documento: Artigo Científico
• Fonte: IEEE Geoscience and Remote Sensing Letters; v. 13, n. 11, p. 1641-1645, NOV 2016.
• Citações Web of Science: 26

Resumo

This letter proposes a new approach for the spectral-spatial classification of hyperspectral images, which is based on a novel extrema-oriented connected filtering technique, entitled as extended extinction profiles. The proposed approach progressively simplifies the first informative features extracted from hyperspectral data considering different attributes. Then, the classification approach is applied on two well-known hyperspectral data sets, i.e., Pavia University and Indian Pines, and compared with one of the most powerful filtering approaches in the literature, i.e., extended attribute profiles. Results indicate that the proposed approach is able to efficiently extract spatial information for the classification of hyperspectral images automatically and swiftly. In addition, an array-based node-oriented max-tree representation was carried out to efficiently implement the proposed approach. (AU)

• Processo FAPESP: 13/23514-0 - Árvore Máxima: teoria, algoritmos e aplicações
• Beneficiário: Roberto Medeiros de Souza
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 15/12127-0 - Max-trees aplicadas a segmentação de imagens médicas
• Beneficiário: Roberto Medeiros de Souza
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado
• Processo FAPESP: 13/07559-3 - Instituto Brasileiro de Neurociência e Neurotecnologia - BRAINN
• Beneficiário: Fernando Cendes
• Modalidade de apoio: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs