EVALUATION OF SATELLITE IMAGE SEGMENTATION USING SYNTHETIC IMAGES

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

Andre R S Marcal (Autor) FCUP; Arlete Rodrigues (Autor) Outra; Mario Cunha (Autor) FCUP

Ata de Conferência Internacional

Título: 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

Páginas: 2210-2213

30th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) on Remote Sensing - Global Vision for Local Action

Honolulu, HI, JUN 25-30, 2010

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 8 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia do ambiente

Outras Informações

ID Authenticus: P-003-DCN

DOI: 10.1109/igarss.2010.5649930

Abstract (EN): The segmentation stage is a key aspect of an object-based image analysis system. However, the segmentation quality is usually difficult to evaluate for satellite images. The Synthetic Image TEsting Framework (SITEF) is a tool to evaluate and compare image segmentation results. This paper presents an example of the use of SITEF for the evaluation of a segmentation algorithm, using a SPOT HRG satellite image with 6 vegetation land cover classes identified in an agricultural area. The segmentation results were evaluated under various perspectives, including the parcel size and shape, the land cover types, and the parameters used in the segmentation algorithm.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4