Hyperspectral Images Classification Based on Dense Convolutional Networks with Spectral-Wise Attenti
借鉴了DenseNet的思想，用了空洞卷积而不是池化，使得特征图不会缩小，所以每一个dense链接均可以直接连，最后一层是包括了前面全部层的特征图。网络
此外还加入了channel-wise的注意力，对每一个通道进行筛选。blog
作的仍是逐像素预测，选取一个像素点周围d的大小输入到网络中，获得标签。内存
补充：channel
DenseNet 结构：im
内存开销巨大。db
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相关文章
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