Infrared image-based remote target detection for maritime rescue utilizing a deep learning network and data augmentation

Sung-Jin Cheong; Yoon-Seop Lim; Won-Ho Jung; Yong-Hwa Park

doi:10.1117/12.2649806

15 March 2023 Infrared image-based remote target detection for maritime rescue utilizing a deep learning network and data augmentation

Sung-Jin Cheong, Yoon-Seop Lim, Won-Ho Jung, Yong-Hwa Park

Author Affiliations +

Proceedings Volume 12438, AI and Optical Data Sciences IV; 124380L (2023) https://doi.org/10.1117/12.2649806
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

In this paper, a fast and robust infrared remote target detection network is proposed based on deep learning. Furthermore, we construct our own IR image database imitating humans in remote maritime rescue situations using FLIR M232 IR camera. First, IR image is preprocessed with contrast enhancement for data augmentation and to increase Signal-to-Noise Ratio (SNR). Second, multi-scale feature extraction is performed combined with fixed weighted kernels and convolutional neural network layers. Lastly, the feature map is mapped into a likelihood map indicating the potential locations of the targets. Experimental results reveal that the proposed method can detect remote targets even under complex backgrounds surpassing the previous methods by a significant margin of +0.62 in terms of mIOU.

Conference Presentation

Citation Download Citation

Sung-Jin Cheong, Yoon-Seop Lim, Won-Ho Jung, and Yong-Hwa Park "Infrared image-based remote target detection for maritime rescue utilizing a deep learning network and data augmentation", Proc. SPIE 12438, AI and Optical Data Sciences IV, 124380L (15 March 2023); https://doi.org/10.1117/12.2649806

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