Target recognition in infrared image using a new neural network model

Yun Hu; Guan Hua; Zhenkang Shen; Zhongkang Sun

doi:10.1117/12.205264

28 March 1995 Target recognition in infrared image using a new neural network model

Yun Hu, Guan Hua, Zhenkang Shen, Zhongkang Sun

Proceedings Volume 2424, Nonlinear Image Processing VI; (1995) https://doi.org/10.1117/12.205264
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

This paper is concerned with algorithms for target detection and recognition in infrared (IR) images. The second order differential method is developed to remove the correlation of noise and clutter, and multiframe cumulation is exploited for enhancing the target and suppressing background noise relatively. Backpropagation neural network is developed for target identifying. The proposed ANN is trained by unsupervised learning and supervised learning.

Citation Download Citation

Yun Hu, Guan Hua, Zhenkang Shen, and Zhongkang Sun "Target recognition in infrared image using a new neural network model", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205264

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