You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
LBP Features:
For the local binary patterns, we used the ‘uniform’ method which is grayscale invariant and rotation invariant. We used a radius of 1 (i.e. we calculated the LBP for each pixel using only the 8-neighbourhood).
LBP Histograms: We flatten the LBP features and calculate the histogram on it using 10 bins.
Classical Models:
1. K-Means: (K=2, method='uniform')
The LBP histograms were used as the feature used to train the model.
Precision (UA)
Recall (PA)
F1-Score
Accuracy
OE
CE
Flooded
0.70
0.86
0.77
-
0.14
0.30
Non-Flooded
0.81
0.64
0.72
-
0.36
0.19
Macro Avg
0.76
0.75
0.74
0.75
0.25
0.24
2. SVM:
It used the LBP features from the training set as training data.