Point Cloud Filter of Skewness Balance Based on the Guidance of Multispectral Data

Table 1. Data parameters of Vaihingen
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Table 1. Data parameters of Vaihingen
Data Transducer Flightaltitude /m Point clouddensity /m^-2 Coveragearea /km²
Pointcloud ALS50 500 6.7 2.4
Spectrum DMC 900 0.08 2.4

Table 2. Comparison of experimental results of different methods

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Table 2. Comparison of experimental results of different methods

Data	Method	Error rateof the firstkind /%	Error rateof the secondkind /%	Totalerror	Totaltime /s
1	Skewnessbalance	1.84	0.76	2.6	1826
	Proposedmethod	2.08	0	2.08	1354
	SVM	1.72	0.67	2.39	3639
2	Skewnessbalance	1.62	1.54	3.16	3022
	Proposedmethod	1.70	0.73	2.43	2396
	SVM	1.26	1.43	2.69	5628
3	Skewnessbalance	2.36	1.23	3.59	2357
	Proposedmethod	2.42	0.78	3.20	2064
	SVM	2.23	1.06	3.29	4382
4	Skewnessbalance	2.09	0.95	3.04	2931
	Proposedmethod	2.03	0.22	2.25	2067
	SVM	1.82	0.87	2.69	5210

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Xiaofeng Han, Fengbao Yang, Hong Wei, Dawei Li, Dan Liu. Point Cloud Filter of Skewness Balance Based on the Guidance of Multispectral Data[J]. Laser & Optoelectronics Progress, 2018, 55(4): 042801

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