kNN_SAM_Classifier.label_unclassified_pixels(..., threshold=...) only flags pixels if threshold is exceeded by FIRST spectral neighbour

If a threshold is passed to kNN_SAM_Classifier.label_unclassified_pixels(), only those pixels are labelled as unclassified where the first spectral neighbour exceeds the given threshold.

Lets say, we have a pixel with 5 SAM neigbours...
[0.2, 1.2, 3.4, 5.3, 6.9] => [0.2, 1.2, 3.4, 5.3, 6.9] instead of [0.2, 1.2, 3.4, --, --]

...then label_unclassified_pixels(threshold=5) does NOT flag the last two neighbors.

Only pixels with a SAM exceeding the threshold at the first neighbor get correctly flagged:
[5.2, 6.4, 6.7, 8.4, 10.3] => [--, --, --, --, --]