29-08-2023 дата публикации
Номер: CN116665149A
Принадлежит:
The invention provides a fine-grained small sample classification method and system for ship remote sensing images, belongs to the technical field of target recognition, and solves the problems that in the prior art, cost for obtaining a large number of ship images is high, a large number of annotation data is not easy to obtain, and overfitting is very easy if a deep neural network model with a large number of parameters is adopted; therefore, poor classification precision is easily caused. The method comprises the steps of obtaining ship images to form a ship data set; preprocessing each ship image in the ship data set; constructing a feature extraction module and a measurement classification module of the ship target fine-grained small sample, and training the feature extraction module and the measurement classification module based on the ship data set obtained through preprocessing; and based on the trained feature extraction module and the metric classification module, classifying ...
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