Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images
论文地址：https://sci-hub.ren/10.1109/lgrs.2017.2738149 Abstract 提出了一种基于深度孪生卷积网络的新型有监督变化检测方法，用于光学航空图像。 我们使用加权对比损失训练孪生卷积网络。 该方法的新颖之处在于，可以学习孪生网络以直接从图像对中提取特征。 与传统的变化检测方法使用的手工特征相比，提取的特征更加抽象和强大。 此外，由于加权对比损失函数的优
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相关文章
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