The laser-induced damage change detection for optical elements using siamese convolutional neural networks

Jingwei Kou, Tao Zhan, Deyun Zhou, Wei Wang, Zhengshang Da, Maoguo Gong

Abstract: Highlights•This article presents a novel model for damage change detection of optical elements.•A similarity metric optimization driven deep learning model is proposed.•An end-to-end siamese CNN is designed for the damage change detection task.•A modified weighted softmax loss is utilized to train the network.