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

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

Andre R S Marcal (Author) FCUP; Arlete Rodrigues (Author) Other; Mario Cunha (Author) FCUP

Conference proceedings International

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

Pages: 2616-2619

IEEE International Geoscience and Remote Sensing Symposium

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

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 2 Citations

Scientific classification

FOS: Engineering and technology > Environmental engineering

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4