Abstract: Unsupervised transfer learning-based change detection (CD) methods exploit the feature extraction capability of pretrained networks to distinguish changed pixels from unchanged ones. However ...
Introduction: Cross-protection—where prior infection by a mild strain reduces susceptibility to a severe strain—offers a promising but underexplored option for managing persistent vector-borne plant ...
Abstract: Addressing the challenge of multiclass change detection with a small sample size, a change vector analysis with an adaptive weight Gaussian mixture model (CVA-AWGMM) is proposed in this ...
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