Infrared small target detection based on coarse-to-fine feature extraction network

Peng Han; Zhengrong Zuo

doi:10.1117/12.3004140

7 March 2024 Infrared small target detection based on coarse-to-fine feature extraction network

Peng Han, Zhengrong Zuo

Proceedings Volume 13085, MIPPR 2023: Automatic Target Recognition and Navigation; 130850H (2024) https://doi.org/10.1117/12.3004140
Event: Twelfth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2023), 2023, Wuhan, China

Abstract

Infrared small target detection (IRSTD) is a technique that has been developed to detect small and faint targets in cluttered backgrounds. It shows extensive use in medical diagnosis and aircraft navigation. However, due to the limited feature information and low signal-to-noise ratio, accurately detecting infrared targets and avoiding false alarms is a challenging task. Our study presents a Coarse-to-Fine Feature Extraction Network (CFFENet) for accurately classifying targets and backgrounds in blurred images. This network consists of a Two-stream Region Proposal Network (2s-RPN) and a Region Refinement Attention Network (RRAN), specifically designed to tackle the problem of false alarms. Specifically, 2s-RPN adds edge features to the RPN, in order to enable the network to extract discriminative information between targets and false alarms, so as to provide reliable coarse candidate boxes. In RRAN, firstly, attention-based encoder is used to extract the attention-aware features in candidate boxes, and predicted mask map is output through multi-layer perception (MLP). Subsequently, the refined feature map is further processed by attention encoder, and MLP is utilized to generate the ultimate detection results. The effectiveness of our approach is validated through comparative experiment, which shows its superiority over representative state-of-the-art IRSTD methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peng Han and Zhengrong Zuo "Infrared small target detection based on coarse-to-fine feature extraction network", Proc. SPIE 13085, MIPPR 2023: Automatic Target Recognition and Navigation, 130850H (7 March 2024); https://doi.org/10.1117/12.3004140

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KEYWORDS

Target detection

Feature extraction

Infrared detectors

Infrared radiation

Small targets

Image classification

Infrared imaging

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