Estimation of the "natural" number of classes of a multispectral image

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2005

Autores

marcal, ars (Autor) FCUP; borges, js (Autor) Outra

Ata de Conferência Internacional

Título: IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings

Páginas: 3788-3791

25th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2005)

Seoul, SOUTH KOREA, JUL 25-29, 2005

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 6 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da terra e ciências do ambiente

Outras Informações

ID Authenticus: P-000-5WW

DOI: 10.1109/igarss.2005.1525733

Abstract (EN): The availability of in effective internal similarity index to determine the "natural" number of classes in a multi spectral satellite image would benefit the process of unsupervised image classification. Two similarity indices (DB and Xu) were tested in sections of multi-spectral satellite images from Landsat TM, SPOT HRVIR, ASTER and IKONOS. The images were initially clustered into a manageable number of classes using, an unsupervised classification algorithm. These results were then structured hierarchically, and the internal similarity indices computed for each level. The inspection of the DB and Xu index plots were used to select the "natural" number of classes for each test image.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4