Comments (7)
对高光谱图像(HxWxC)的通道两两计算相关系数,然后会得到一个C×C的矩阵,然后将这个矩阵用伪彩色可视化出来便得到图6中的样子。
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对高光谱图像(HxWxC)的通道两两计算相关系数,然后会得到一个C×C的矩阵,然后将这个矩阵用伪彩色可视化出来便得到图6中的样子。
非常感谢您的及时回复!是采用和计算CxC维度的attention类似的方式吗。就是CxHW @ HWxC 然后得到一个CxC的矩阵吗?
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不是,是计算两个矩阵的相关系数。一个通道是一个矩阵。
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不是,是计算两个矩阵的相关系数。一个通道是一个矩阵。
好的 再次感谢您的耐心回复! 请问相关系数是采用什么方式计算的。
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这个可以搜一下python或pytorch有关的库。百度谷歌一搜就有。
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这个可以搜一下python或pytorch有关的库。百度谷歌一搜就有。
好的 谢谢您!
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我也尝试做了一下光谱相关性矩阵的可视化。发现MST论文fig6的相关性矩阵是场景5的,但是论文中展示的RGB是场景4的,会不会是索引从0开始而没有加1
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Related Issues (20)
- mask 3d shift s HOT 1
- 关于真实实验 HOT 3
- 请问如果想要直接使用该功能,直接按照验证步骤,并在此之前把我的RGB转化成mat数据即可吗 HOT 2
- 请问real训练过程为何掩码也进行随机裁剪 HOT 2
- 关于参数的疑问 HOT 3
- 数据集中RGB图像 HOT 2
- Question about the ADMM-Net HOT 2
- real-test.py HOT 3
- Real-architecture HOT 2
- Wrong paper links presented in README HOT 1
- 测试数据集转为RGB图像 HOT 1
- TwIST、GAP-TV、DeSCI的可视化结果 HOT 1
- 这里乘2是什么意思 HOT 1
- 训练MST方法之前所提出的模型时的问题。 HOT 11
- DAUHST的flops计算 HOT 1
- 关于test_s HOT 1
- 关于归一化问题 HOT 1
- 关于一个细节的问题 HOT 4
- 一轮训练时间 HOT 5
- mask_3d_shift和mask的关系 HOT 1
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