A Two-Stage Optimization Strategy for Fuzzy Object-Based Analysis Using Airborne LiDAR and High-Resolution Orthophotos for Urban Road Extraction

Table 6

Classification assessment (confusion matrix, per class accuracies, and total accuracies) on the test site.

User class/sample	Tree	Road	Building	Grass	Bare	Shadow	Sum
Confusion matrix
Tree	58	0	1	7	0	18	84
Road	3	54	1	0	2	3	63
Building	2	6	116	15	4	22	165
Grass	2	1	1	53	0	2	59
Bare	5	10	5	3	57	3	83
Shadow	0	0	0	1	0	37	38
Sum	70	71	124	79	63	85
Accuracy
Producer	0.82	0.76	0.93	0.67	0.90	0.43
User	0.69	0.85	0.70	0.89	0.68	0.97
KIA per class	0.79	0.72	0.90	0.62	0.88	0.38
Overall accuracy (%)
76
Kappa index of agreement (KIA)
0.70