RECOGNIZING MILITARY EQUIPMENT FROM SATELLITE IMAGES USING AI
V.O. Vytrykush, Nataliia Huzynets · Komp'ûternì sistemi ta merežì · 2025
Neural networks training systems used for military equipment recognition on the images are considered in the article. The implementation, considered in the article, uses pretrained part of the model with freezing most of the trained parameters and fined tuning of some part of the model with using extra data set including artificially obtained images. Two widely used recognition networks was considered: ResNet50 and Xception. After these two networks analysis, we can say that the best approach for training the network is using data expansion strategy. This means that during training we can expand the image base by providing different representations of these images. Keywords: ResNet50, Xceprion, data augmentation, image recognition.