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METHOD FOR CONSTRUCTING FARMLAND IMAGE-BASED CONVOLUTIONAL NEURAL NETWORK MODEL, AND SYSTEM THEREOF
METHOD FOR CONSTRUCTING FARMLAND IMAGE-BASED CONVOLUTIONAL NEURAL NETWORK MODEL, AND SYSTEM THEREOF
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机译:基于农田图像的卷积神经网络模型构建方法及其系统
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摘要
A method for constructing a convolutional neural network model based on farmland images is illustrated. The method includes following steps: obtaining a number of farmland images of at least one farmland; obtaining a plurality of standard segmentation farmland images corresponding to each of the farmland images; dividing the farmland images and the standard segmentation farmland images into a training image set and a test image set; taking the farmland images and the standard segmentation farmland images in the training image set as input of a convolutional neural network, and constructing a convolutional neural network model based on the farmland images; and verifying the convolutional neural network model by using the farmland images in the test image set and the standard segmentation farmland images, and optimizing a plurality of parameters of the convolutional neural network model based on the farmland images.
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