An Identification Method for Mixed Coal Vitrinite Components Based on An Improved DeepLabv3+ Network

To address the high complexity and low accuracy issues of traditional methods in mixed coal vitrinite identification, this paper proposes a method based on an improved DeepLabv3+ network. First, MobileNetV2 is used as the backbone network to reduce the number of parameters. Second, an atrous convolu...

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