A Method for Time-Series Change Detection in Urban Areas Based on SHP and Coherence Information from SAR Imagery: Focusing on the Application of KOMPSAT-5 Imagery in Port Areas

In this paper, we proposed a method based on statistically homogeneous pixel (SHP) and coherence information for time series change detection of urban areas using synthetic aperture radar (SAR) images.The proposed framework was applied to KOMPSAT-5 SAR time series data to conduct time series change detection experiments on container yards in port areas.If the algorithm is verified with more SAR images in the future, the algorithm for detecting time series changes in areas of interest using domestic KOMPSAT SAR satellite images will become more generalized and reliable.