Improvement of Image Segmentation Accuracy Based on Multiscale Optimization Procedure
- 16 May 2008
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Geoscience and Remote Sensing Letters
- Vol. 5 (3), 463-467
- https://doi.org/10.1109/lgrs.2008.919622
Abstract
This letter proposes an optimization approach that enhances the quality of image segmentation using the software Definiens Developer. The procedure aims at the minimization of over- and undersegmentations in order to attain more accurate segmentation results. The optimization iteratively combines a sequence of multiscale segmentation, feature-based classification, and classification-based object refinement. The developed method has been applied to various remotely sensed data and is compared to the results achieved with the established segmentation procedures provided by the Definiens Developer software. The quantitative assessment of segmentation accuracy based on reference objects is derived from an aerial image, and a high-resolution synthetic aperture radar scene shows an improvement of 20%-40% in object accuracy by applying the proposed procedure.Keywords
This publication has 7 references indexed in Scilit:
- The comparison index: A tool for assessing the accuracy of image segmentationInternational Journal of Applied Earth Observation and Geoinformation, 2007
- Cognition Network Technology: Object Orientation and Fractal Topology in Biomedical Image Analysis. Method and ApplicationsPublished by Springer Nature ,2006
- Assessment of Very High Spatial Resolution Satellite Image SegmentationsPhotogrammetric Engineering & Remote Sensing, 2005
- A fuzzy approach to supervised segmentation parameter selection for object-based classificationPublished by SPIE-Intl Soc Optical Eng ,2005
- Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready informationISPRS Journal of Photogrammetry and Remote Sensing, 2004
- A comparison of three image-object methods for the multiscale analysis of landscape structureISPRS Journal of Photogrammetry and Remote Sensing, 2003
- Preliminary evaluation of eCognition object-based software for cut block delineation and feature extractionCanadian Journal of Remote Sensing, 2003