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http://dx.doi.org/10.7780/kjrs.2003.19.2.149

Evaluation of The Image Segmentation Method for DEM Generation of Satellite Imagery  

이효성 (서울대학교 지구환경시스템 공학부)
송정헌 (서울대학교 지구환경시스템 공학부)
김용일 (서울대학교 지구환경시스템 공학부)
안기원 (경상대학교 토목공학과)
Publication Information
Korean Journal of Remote Sensing / v.19, no.2, 2003 , pp. 149-157 More about this Journal
Abstract
In this study, for efficient replacement of sensor modelling of high-resolution satellite imagery, image segmentation method is applied to the test area of the SPOT-3 satellite imagery. After that, a third-order polynomial model in the sectioned area is compared with the RFM which Is to the entire in the test area. As results, plane error of the third-order polynomial model is lower(approximately 0.8m) than that of RFM. On the other hand, height error of RFM is lower(approximately 1.0m).
Keywords
Image Segmentation; Third-Order Polynomial Model; RFM;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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