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http://dx.doi.org/10.7780/kjrs.2018.34.5.6

Unsupervised Change Detection of KOMPSAT-3 Satellite Imagery Based on Cross-sharpened Images by Guided Filter  

Choi, Jaewan (School of Civil Engineering, Chungbuk National University)
Park, Honglyun (Department of Civil Engineering, Chungbuk National University)
Kim, Donghak (Department of Civil Engineering, Chungbuk National University)
Choi, Seokkeun (School of Civil Engineering, Chungbuk National University)
Publication Information
Korean Journal of Remote Sensing / v.34, no.5, 2018 , pp. 777-786 More about this Journal
Abstract
GF (Guided Filtering) is a representative image processing technique to effectively remove noise while preserving edge information in the digital image. In this paper, we proposed a unsupervised change detection method for the KOMPSAT-3 satellite image using the GF and evaluated its performance. In order to utilize GF for the unsupervised change detection, cross-sharpened images were generated based on GF, and CVA (Change Vector Analysis) was applied to the generated cross-sharpened images to extract the changed area in the multitemporal satellite imagery. Experimental results using KOMPSAT-3 satellite images showed that the proposed method can be effectively used to detect changed regions compared with CVA results based on existing cross-sharpened images.
Keywords
Change detection; CVA; Cross-sharpened images; GF; KOMPSAT-3;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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