A Few-Sample Image Classification Method Based on Multi-decision Fusion
A technology of decision fusion and classification method, which is applied in the field of small sample image classification of multi-decision fusion, can solve the problems of not being able to adapt to new categories well, and achieve the effect of improving classification performance, improving effectiveness and robustness
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[0050] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0051] The following will be combined with figure 1 , a small-sample image classification method based on multi-decision fusion in an embodiment of the present invention will be described in detail.
[0052] Reference attached figure 1 As shown, a small sample image classification method of multi-decision fusion in the embodiment of the present invention includes:
[0053] Step 110: use the training data to train the convolutional neural network to extract image features, and fix the network parameters after training.
[0054] The convolutional neural network model Resnet-12 model is used to extract image features. Among them, the process of using convolutional neural network to extract image features is not the protection content o...
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