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How to get to compute the standard deviation of a multispectral vector?

2 vues (au cours des 30 derniers jours)
Agustin
Agustin le 7 Avr 2016
I have a vector that have the size of 598 x 598 x 7, where 7 is the number of bands. I need to perform some training data to work with the knnclasify command. To perform the training data I will use the normrnd command and I need to compute the mean and the standard deviation of the vector. I wrote the following code:
Data = lanread('flc1.lan'); % flc1.lan data
m = mean(Data);
Sigma = std(Data);
It seems that I can compute the mean but I get the following error on the standard deviation:
Error using var (line 65) First argument must be single or double.
Error in std (line 38) y = sqrt(var(varargin{:}));
Error in HW10 (line 14) Sigma = std(Data,0,7);
Can someone please help me with this? I don't understand what I'm doing wrong.

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