Single-Pixel Image-Free Target Recognition Based on Encoding Matrix Sequence

He Huang, Hui Shao, Yu Xiao Wei, Hui Juan Zhang*, Shuai Jun Zhou, Yuan Jin Yu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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%.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 16
EditorsLiang Yan, Haibin Duan, Yimin Deng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages292-301
Number of pages10
ISBN (Print)9789819622597
DOIs
Publication statusPublished - 2025
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2024 - Changsha, China
Duration: 9 Aug 202411 Aug 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1352 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2024
Country/TerritoryChina
CityChangsha
Period9/08/2411/08/24

Keywords

  • Encoded Matrix
  • Single-Pixel Imaging
  • Target Recognition
  • Wide Residual Network

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