A lightweight network for infrared small target detection based on spatial-temporal associated data

Yin Xu; Hai Tan

doi:10.1117/12.2586958

12 March 2021 A lightweight network for infrared small target detection based on spatial-temporal associated data

Yin Xu, Hai Tan

Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 117634H (2021) https://doi.org/10.1117/12.2586958
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China

Abstract

The prevalent deep learning approach achieve a great success in many detection task. However, due to the limited features and complicated background, it is still a challenge to apply it to small target detection in infrared image. In this paper, a novel method based on convolutional neural network is proposed to solve the small target detection problem. Firstly, the image feed to neural network is preprocessed in order to enhance the target characteristic by encompassing space and time information. Then the spatial-temporal datum is used to train a custom designed lightweight network dedicated to small target detection. At last, the well trained model is used for inference of infrared video. Furthermore, several tricks are also employed to improve the efficiency of the network so that it is able to operate in real time .The experimental result demonstrate the presented method have achieved decent performance on small target detection task.

Citation Download Citation

Yin Xu and Hai Tan "A lightweight network for infrared small target detection based on spatial-temporal associated data", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 117634H (12 March 2021); https://doi.org/10.1117/12.2586958

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