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http://dx.doi.org/10.7848/ksgpc.2018.36.2.51

Seasonal Effects Removal of Unsupervised Change Detection based Multitemporal Imagery  

Park, Hong Lyun (School of Civil Engineering, Chungbuk National University)
Choi, Jae Wan (School of Civil Engineering, Chungbuk National University)
Oh, Jae Hong (Dept. of Civil Engineering, Korea Maritime and Ocean University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.36, no.2, 2018 , pp. 51-58 More about this Journal
Abstract
Recently, various satellite sensors have been developed and it is becoming more convenient to acquire multitemporal satellite images. Therefore, various researches are being actively carried out in the field of utilizing change detection techniques such as disaster and land monitoring using multitemporal satellite images. In particular, researches related to the development of unsupervised change detection techniques capable of extracting rapidly change regions have been conducted. However, there is a disadvantage that false detection occurs due to a spectral difference such as a seasonal change. In order to overcome the disadvantages, this study aimed to reduce the false alarm detection due to seasonal effects using the direction vector generated by applying the $S^2CVA$ (Sequential Spectral Change Vector Analysis) technique, which is one of the unsupervised change detection methods. $S^2CVA$ technique was applied to RapidEye images of the same and different seasons. We analyzed whether the change direction vector of $S^2CVA$ can remove false positives due to seasonal effects. For the quantitative evaluation, the ROC (Receiver Operating Characteristic) curve and the AUC (Area Under Curve) value were calculated for the change detection results and it was confirmed that the change detection performance was improved compared with the change detection method using only the change magnitude vector.
Keywords
Sequential Spectral Change Vector Analysis($S^2CVA$); Unsupervised Change Detection; Receiver Operating Characteristic Curve; Area Under Curve(AUC);
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Times Cited By KSCI : 2  (Citation Analysis)
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