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http://dx.doi.org/10.7848/ksgpc.2019.37.3.209

Integrated Automatic Pre-Processing for Change Detection Based on SURF Algorithm and Mask Filter  

Kim, Taeheon (Dept. of Geospatial Information, Kyungpook National University)
Lee, Won Hee (School of Convergence & Fusion System Engineering, Kyungpook National University)
Yeom, Junho (Research Institute for Automotive Diagnosis Technology of Multi-scale Organic and Inorganic Structure, Kyungpook National University)
Han, Youkyung (School of Convergence & Fusion System Engineering, Kyungpook National University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.37, no.3, 2019 , pp. 209-219 More about this Journal
Abstract
Satellite imagery occurs geometric and radiometric errors due to external environmental factors at the acquired time, which in turn causes false-alarm in change detection. These errors should be eliminated by geometric and radiometric corrections. In this study, we propose a methodology that automatically and simultaneously performs geometric and radiometric corrections by using the SURF (Speeded-Up Robust Feature) algorithm and the mask filter. The MPs (Matching Points), which show invariant properties between multi-temporal imagery, extracted through the SURF algorithm are used for automatic geometric correction. Using the properties of the extracted MPs, PIFs (Pseudo Invariant Features) used for relative radiometric correction are selected. Subsequently, secondary PIFs are extracted by generated mask filters around the selected PIFs. After performing automatic using the extracted MPs, we could confirm that geometric and radiometric errors are eliminated as the result of performing the relative radiometric correction using PIFs in geo-rectified images.
Keywords
Geometric Correction; Radiometric Correction; Speeded-Up Robust Feature(SURF); Mask filter; Matching Points; Pseudo Invariant Features(PIFs);
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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