EVALUATION OF SATELLITE IMAGE SEGMENTATION USING SYNTHETIC IMAGES

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

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

Conference proceedings International

Title: 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM

Pages: 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

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 8 Citations

Scientific classification

FOS: Engineering and technology > Environmental engineering

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4