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Development and Evaluation of Image Segmentation Technique for Object-based Analysis of High Resolution Satellite Image  

Byun, Young-Gi (서울대학교 건설환경시스템 공학부)
Kim, Yong-Il (서울대학교 건설환경시스템 공학부)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.28, no.6, 2010 , pp. 627-636 More about this Journal
Abstract
Image segmentation technique is becoming increasingly important in the field of remote sensing image analysis in areas such as object oriented image classification to extract object regions of interest within images. This paper presents a new method for image segmentation to consider spectral and spatial information of high resolution satellite image. Firstly, the initial seeds were automatically selected using local variation of multi-spectral edge information. After automatic selection of significant seeds, a segmentation was achieved by applying MSRG which determines the priority of region growing using information drawn from similarity between the extracted each seed and its neighboring points. In order to evaluate the performance of the proposed method, the results obtained using the proposed method were compared with the results obtained using conventional region growing and watershed method. The quantitative comparison was done using the unsupervised objective evaluation method and the object-based classification result. Experimental results demonstrated that the proposed method has good potential for application in the object-based analysis of high resolution satellite images.
Keywords
High resolution satellite images; Image segmentation; Object-based Classification; Automatic seed selection; Unsupervised objective evaluation method;
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