[Retracted] Study of Clustering Algorithms in Object Tracking and Image Segmentation

Table 2

Comparison results on Vaihingen dataset ∉.

Vaihingen	OA (%)	Precision	Recall	Mean
FCN	88.11	84.56	85.91	85.68
SegNet	90.07	88.93	88.83	88.62
BiseNet	90.13	88.79	88.89	88.71
DeepLabv3+	90.06	88.95	88.97	88.67
FCN+	88.33	84.79	86.02	85.86
SegNet +	90.19	88.92	88.86	88.89
BiseNet+	90.21	88.93	88.97	88.67
DeepLabv3+	90.25	88.94	88.99	88.97

DeepLabv3+ stands for DeepLabv3 + and superpixel segmentation method based on Mean Shift.