THE SYNTHETIC IMAGE TESTING FRAMEWORK (SITEF) FOR THE EVALUATION OF MULTI-SPECTRAL IMAGE SEGMENTATION ALGORITHMS

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2009

Autores

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

Ata de Conferência Internacional

Título: 2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5

Páginas: 2616-2619

IEEE International Geoscience and Remote Sensing Symposium

Cape Town, SOUTH AFRICA, JUL 12-17, 2009

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 2 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia do ambiente

Outras Informações

ID Authenticus: P-003-STA

DOI: 10.1109/igarss.2009.5417330

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 the SITEF with an extension to model adjacency effects between neighboring parcels, using the sensor's point spread function and a grid offset A practical application of SITEF is presented using a SPOT HRG satellite image, with 6 vegetation land cover classes identified on a mountainous area The segmentation results were evaluated under various perspectives, including the parcel size and shape, the land cover types, the sensor grid offset and one parameter used in the segmentation algorithm.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4