The approach of optical target recognition via compressive sensing theory

Anhong Chen; Ying Yu; Yuqiang Mu; Xiaosong Sun; Guojian Tang

doi:10.1117/12.2199714

8 October 2015 The approach of optical target recognition via compressive sensing theory

Anhong Chen, Ying Yu, Yuqiang Mu, Xiaosong Sun, Guojian Tang

Proceedings Volume 9675, AOPC 2015: Image Processing and Analysis; 96751Y (2015) https://doi.org/10.1117/12.2199714
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China

Abstract

An approach of optical target recognition via compressive sensing theory is proposed, its feature expressed on the usually suitability and robust on noise, it made a breakthrough on the complex operation which is used in the common recognition algorithm when the characteristic is extracted, it can classify the target accurately when plenty of information is consisted in the observing data and the test sample can be sparse expressed. and the disturbance error caused by noise could be even eliminated under the recognition structure expressed by sparse, the process of the simulation testify the validity of the proposed method.

Citation Download Citation

Anhong Chen, Ying Yu, Yuqiang Mu, Xiaosong Sun, and Guojian Tang "The approach of optical target recognition via compressive sensing theory", Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96751Y (8 October 2015); https://doi.org/10.1117/12.2199714

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