13Uncertainty and Accuracy Analysis in Remote Sensing and Digital Image Processing
13.1 Homework Solution
13.1.1 Subject
Accuracy analysis of supervised classification applied to multispectral imagery from the CBERS-04A satellite for environmental monitoring.
13.1.2 Abstract
Confusion matrix analysis in remote sensing can be used to analyze the accuracy of supervised learning applied to image classification. The quality of spatial predictions of classification algorithms is evaluated from input data sets used in the training phase of algorithms, and also from validation by partitioning input data or using an additional database. We aimed to determine the confusion matrix and metrics of total accuracy and kappa index to evaluate the results ...
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