@inproceedings{448849b5eddd47a2a2f1f5277864441b,
title = "Single-Pixel Image-Free Target Recognition Based on Encoding Matrix Sequence",
abstract = "Image-free target recognition approach based on single-pixel imaging is a novel strategy for target recognition. It normally utilizes convolutional neural networks to directly recognize the detected sequences acquired by single-pixel detectors. This process does not reconstruct the image, which greatly reduces the recognition time and storage consumption. However, the sub-Nyquist single-pixel detections loss some spatial information, resulting in low recognition accuracy. To solve this problem, we propose a new image-free recognition method called encoded wide residual network, which combines the encoded matrix and the improved wide residual network. The method introduces a small-size modulation matrix to obtain a sequence of single-pixel probe value matrices and applies a Kronecker product operation with the modulation matrix to obtain a new sequence of encoding matrices. Using the sequence of encoding matrices as an input to the neural network effectively drives neural network learning. This method reduces the number of model parameters and further improves the accuracy of image-free recognition. Simulation and experiments were carried out on the Fashion MNIST dataset, and the results show that the method improves the accuracy at different sampling rates such as 3%, 5%, 9.77% and 25%.",
keywords = "Encoded Matrix, Single-Pixel Imaging, Target Recognition, Wide Residual Network",
author = "He Huang and Hui Shao and Wei, {Yu Xiao} and Zhang, {Hui Juan} and Zhou, {Shuai Jun} and Yu, {Yuan Jin}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International Conference on Guidance, Navigation and Control, ICGNC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-2260-3_29",
language = "English",
isbn = "9789819622597",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "292--301",
editor = "Liang Yan and Haibin Duan and Yimin Deng",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 16",
address = "Germany",
}