UTRNet: An Unsupervised Time-Distance-Guided Convolutional Recurrent Network for Change Detection in Irregularly Collected Images
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DOI: 10.1109/tgrs.2022.3174009
Abstract: Change detection in time series is among the most critical problems in earth monitoring and attracts extensive attention in the remote sensing community. The task is, however, nontrivial because available images are irregularly collected due… read more here.
Keywords: change detection; time; irregularly collected; distance guided ... See more keywords