Table 3 An error matrix of sample count for LULC map with k categories. Map categories are rows and reference categories are columns.

From: JAXA’s new high-resolution land use land cover map for Vietnam using a time-feature convolutional neural network

Class

1

2

\(\cdots\)

i

j

\(\cdots\)

k

Total

1

\(n_{11}\)

\(n_{12}\)

\(\cdots\)

\(n_{1i}\)

\(n_{1j}\)

\(\cdots\)

\(n_{1k}\)

\(n_{1\cdot }\)

2

\(n_{21}\)

\(n_{22}\)

\(\cdots\)

\(n_{2i}\)

\(n_{2j}\)

\(\cdots\)

\(n_{2k}\)

\(n_{2\cdot }\)

\(\vdots\)

\(\vdots\)

\(\vdots\)

\(\ddots\)

\(\cdots\)

\(\cdots\)

\(\ddots\)

\(\cdots\)

\(\cdots\)

i

\(n_{i1}\)

\(n_{i2}\)

\(\cdots\)

\(n_{ii}\)

\(n_{ij}\)

\(\cdots\)

\(n_{ik}\)

\(n_{i\cdot }\)

j

\(n_{j1}\)

\(n_{j2}\)

\(\cdots\)

\(n_{ji}\)

\(n_{jj}\)

\(\cdots\)

\(n_{jk}\)

\(n_{j\cdot }\)

\(\vdots\)

\(\vdots\)

\(\vdots\)

\(\ddots\)

\(\cdots\)

\(\cdots\)

\(\ddots\)

\(\cdots\)

\(\cdots\)

k

\(n_{k1}\)

\(n_{k2}\)

\(\cdots\)

\(n_{ki}\)

\(n_{kj}\)

\(\cdots\)

\(n_{kk}\)

\(n_{k\cdot }\)

Total

\(n_{\cdot 1}\)

\(n_{\cdot 2}\)

\(\cdots\)

\(n_{\cdot {i}}\)

\(n_{\cdot {j}}\)

\(\cdots\)

\(n_{\cdot {k}}\)

n