Computes the usual accuracy measures of binary change maps: detection
rate (DR, percentage of true changes that were detected), false alarm
rate (FA, percentage of unchanged pixels flagged as changed), and the
percentages of false positives (FP) and false negatives (FN) with
respect to all pixels.
Usage
change_detection_metrics(truth, estimate)
Arguments
- truth
Logical (or 0/1) vector/matrix of true changes.
- estimate
Logical (or 0/1) vector/matrix of detected changes.
Value
A tibble with DR, FA, FP, FN (in percent) and the
overall accuracy OA (in percent).
Examples
truth <- c(TRUE, TRUE, FALSE, FALSE, FALSE)
est <- c(TRUE, FALSE, TRUE, FALSE, FALSE)
change_detection_metrics(truth, est)
#> # A tibble: 1 × 5
#> DR FA FP FN OA
#> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 50 33.3 20 20 60
