True Orthoimage Generation Using Airborne LiDAR Data with Generative Adversarial Network-Based Deep Learning Model

Table 2

Evaluation of training performance for Vaihingen test datasets.

Experiment	Training data type	Tile size (pixel)	Overlap (%)	FID	SSIM
1	Intensity		50	353.18	0.371
2	DSM		50	231.74	0.401
3	Color label		50	222.51	0.379
4	B/W label		50	194.76	0.383
5	Intensity+DSM		50	250.44	0.396
6	Intensity+B/W label		50	218.01	0.421
7	DSM+B/W label		50	214.77	0.431
8	Intensity+DSM+B/W label		50	131.81	0.434
9	DSM		60	197.63	0.427
10	DSM		50	258.59	0.395
11	DSM		70	174.79	0.406
12	DSM		50	369.21	0.368
13	DSM		80	148.41	0.377
14	DSM+B/W label		80	132.35	0.436
15	Intensity+DSM+B/W label		80	117.67	0.505