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http://dx.doi.org/10.7848/ksgpc.2019.37.6.481

Object-based Change Detection using Various Pixel-based Change Detection Results and Registration Noise  

Jung, Se Jung (Department of Geospatial Information, Kyungpook National University)
Kim, Tae Heon (Department of Geospatial Information, Kyungpook National University)
Lee, Won Hee (School of Geospatial Information, Kyungpook National University)
Han, You Kyung (School of Geospatial Information, Kyungpook National University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.37, no.6, 2019 , pp. 481-489 More about this Journal
Abstract
Change detection, one of the main applications of multi-temporal satellite images, is an indicator that directly reflects changes in human activity. Change detection can be divided into pixel-based change detection and object-based change detection. Although pixel-based change detection is traditional method which is mostly used because of its simple algorithms and relatively easy quantitative analysis, applying this method in VHR (Very High Resolution) images cause misdetection or noise. Because of this, pixel-based change detection is less utilized in VHR images. In addition, the sensor of acquisition or geographical characteristics bring registration noise even if co-registration is conducted. Registration noise is a barrier that reduces accuracy when extracting spatial information for utilizing VHR images. In this study object-based change detection of VHR images was performed considering registration noise. In this case, object-based change detection results were derived considering various pixel-based change detection methods, and the major voting technique was applied in the process with segmentation image. The final object-based change detection result applied by the proposed method was compared its performance with other results through reference data.
Keywords
Pixel-based Change Detection; Object-based Change Detection; High Resolution Multi-temporal Image; Registration Noise; Segmentation Image;
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Times Cited By KSCI : 1  (Citation Analysis)
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