<p>The matrix is calculated for the = 24 reference pixels of each of = 16 gray value-strata of a hemispherical photograph. Column and row sums show how many pixels were classified by a binarization algorithm (image classified data) and by an operator (reference data) into the categories vegetation (V) and sky (S). The four central cells show how many pixels were classified by an algorithm and the operator in agreement (, ) and in disagreement (, ). The image marginal proportion displays the overall fraction of pixels classified by the algorithm as vegetation () or sky () within the respective stratum. Adapted from Congalton and Green 2009.</p
<p>The confusion matrix between PALSAR-based land cover classification in Southeast Asia and Regions...
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
Hemispherical photography is a well-established method to optically assess ecological parameters rel...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>The rows represent the true pollen types while the columns indicate how the images have been clas...
The correctly classified data is reflected along the diagonal regions. The misclassified is reflecte...
<p>Fraction of the test data that is assigned to each class based on the posterior probability assig...
Confusion matrix for non-defoliated, partially defoliated and completely defoliated trees measured i...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
Confusion matrix for non-defoliated, partially defoliated and completely defoliated trees measured i...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
<p>The confusion matrix for discriminating A three alternatives: and B nine alternatives: is shown...
<p>Confusion matrices for classification of September 2010 and August 2011 imagery using user-interp...
This dataset is from a master's thesis titled: Repeatable methods of classification in the Montane g...
<p>The confusion matrix between PALSAR-based land cover classification in Southeast Asia and Regions...
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
Hemispherical photography is a well-established method to optically assess ecological parameters rel...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>The rows represent the true pollen types while the columns indicate how the images have been clas...
The correctly classified data is reflected along the diagonal regions. The misclassified is reflecte...
<p>Fraction of the test data that is assigned to each class based on the posterior probability assig...
Confusion matrix for non-defoliated, partially defoliated and completely defoliated trees measured i...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
Confusion matrix for non-defoliated, partially defoliated and completely defoliated trees measured i...
The confusion matrix representing the computed classification accuracy % for the proposed research w...
<p>Confusion matrix and overall performance of the classifier used to determine the sharpness of the...
<p>The confusion matrix for discriminating A three alternatives: and B nine alternatives: is shown...
<p>Confusion matrices for classification of September 2010 and August 2011 imagery using user-interp...
This dataset is from a master's thesis titled: Repeatable methods of classification in the Montane g...
<p>The confusion matrix between PALSAR-based land cover classification in Southeast Asia and Regions...
The diagonal values indicate the ratio of correct classifications for each digit, while off-diagonal...
Hemispherical photography is a well-established method to optically assess ecological parameters rel...