Evaluation of satellite image segmentation using synthetic images

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...

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Bibliographic Details
Main Authors: Marcal, A R S, Rodrigues, A, Cunha, Mário
Format: Conference Proceeding
Language:English
Subjects:
Earth Observing System
Image processing
Image segmentation
Measurement
Pixel
Remote sensing
Shape
Online Access:Request full text
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Description
Summary: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.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2010.5649930