Intelligent Identification of Clastic Rock Outcrops from Multimodal UAV Images

Table 1. Comparison of recognition accuracy of different methods
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Table 1. Comparison of recognition accuracy of different methods
Method OA /% mIOU /%
Maximum likelihood method 63.16 25.04
Mahalanobis distance method 59.01 23.94
Minimum distance method 52.90 16.34
K-means 28.40 13.11
Isodata 28.40 13.11
SE-DeepLabv3+ 91.05 36.92

Table 2. Comparison of recognition accuracy of different semantic segmentation methods

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Table 2. Comparison of recognition accuracy of different semantic segmentation methods

Method	Lithology	PA /%	OA /%	mIOU /%	Prediction time /s
FCN	Conglomerate	61.77	72.52	23.52	1748.84
	Sandstone	0.02
	Mudstone	93.59
U-Net	Conglomerate	74.76	81.11	27.67	120.88
	Sandstone	9.17
	Mudstone	36.34
DeepLabv3+	Conglomerate	94.05	74.69	26.52	130.85
	Sandstone	6.21
	Mudstone	65.73
SE-DeepLabv3+	Conglomerate	74.33	91.05	36.92	146.40
	Sandstone	50.03
	Mudstone	83.13

Table 3. Recognition accuracy for some outcrops in Qingshuihe-Kalaza Formation
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Table 3. Recognition accuracy for some outcrops in Qingshuihe-Kalaza Formation
Method Lithology PA /% OA /% mIOU /% Prediction time /s
SE-DeepLabv3+ Conglomerate 50.02 80.60 34.41 798.99
Sandstone 40.76
Mudstone 80.49

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Yanfang Yan, Qing Wang, Qihong Zeng, Yanlin Shao, Wei Wei, Changmin Zhang. Intelligent Identification of Clastic Rock Outcrops from Multimodal UAV Images[J]. Laser & Optoelectronics Progress, 2022, 59(24): 2410010

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