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Unsupervised Multitemporal Building Change Detection Framework Based on Cosegmentation Using Time-Series SAR
2021
Remote Sensing
Building change detection using remote sensing images is essential for various applications such as urban management and marketing planning. However, most change detection approaches can only detect the intensity or type of change. The aim of this study is to dig for more change information from time-series synthetic aperture radar (SAR) images, such as the change frequency and the change moments. This paper proposes a novel multitemporal building change detection framework that can generate
doi:10.3390/rs13030471
fatcat:gpwp3owkzbdvfnuacgao3fyfi4