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A study on the application of high resolution K5 SAR images  

Yu, Sujin (한국항공대학교 전자 및 항공 전자공학부 위성전자시스템연구실)
Song, Kyoungmin (한국항공대학교 전자 및 항공 전자공학부 위성전자시스템연구실)
Lee, Wookyung (한국항공대학교 전자 및 항공 전자공학부 위성전자시스템연구실)
Publication Information
Journal of Satellite, Information and Communications / v.12, no.1, 2017 , pp. 6-12 More about this Journal
Abstract
Recently, the demand for SAR imaging is growing to monitor natural disasters or military sites to foresee topographic changes, where optical sensing is not easily available. High-resolution SAR images are useful in exploring topography and monitoring artificial land objects in all weather conditions. In this paper,high resolution SAR images acquired from KOMPSAT-5 are exploited for the applications of change detection and classification. In order to detect change areas, amplitude change detection (ACD) and coherence change detection (CCD) algorithms are employed and their performances are compared in practical applications. For enhanced performance, the potential of small scaled change detection is explored by combining multi-temporary SAR images. The k-means and SVM methods are applied for land classifications and their performances are compared by applying to the real spaceborne SAR images.
Keywords
SAR image processing; Amplitude Change Detection; Coherence Change Detection; Classification; K-means; SVM;
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Times Cited By KSCI : 1  (Citation Analysis)
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