Gated bidirectional pyramid context network for infrared maritime target detection

Guangrui Lv; Lili Dong; Junke Liang; Wenhai Xu

doi:10.1117/12.2680520

27 June 2023 Gated bidirectional pyramid context network for infrared maritime target detection

Guangrui Lv, Lili Dong, Junke Liang, Wenhai Xu

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 1270504 (2023) https://doi.org/10.1117/12.2680520
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

Detecting infrared small targets in complex marine environments is an important technology in maritime distress target search and tracking systems. To enrich the feature representation of maritime targets and suppress background noise, a gated bidirectional pyramid context network (GBPC-Net) is proposed. Firstly, a hierarchical feature extraction backbone is constructed to generate multi-scale feature, and then a gated bidirectional connection module (GBCM) is designed to aggregate hierarchical features of infrared maritime targets and eliminate complex background interference. Among them, the channel-based GBCM adopts the directions of top-to-down and bottom-to-up to aggregate multi-scale features from different layers into semantic-assisted detail features and detail-assisted semantic features. While the spatial-based GBCM further hierarchically modulates channel aggregation features in different directions to generate multi-scale gated aggregation features. Next, an adaptive pyramid context module (APCM) is introduced to learn the similarity between the local detail and the context information of different scales, which can emphasize the difference between small maritime targets and complex backgrounds. Subsequently, the features from APCM are used to guide the fusion of detailed features in lower-layer networks, and the aggregated feature map is applied to infrared maritime target detection. Finally, a target detection dataset derived from the real marine environment is constructed, and a series of comparative experiments are conducted on this dataset and the results show that our method can more accurately detect infrared maritime targets than some state-of-the-art methods.

Citation Download Citation

Guangrui Lv, Lili Dong, Junke Liang, and Wenhai Xu "Gated bidirectional pyramid context network for infrared maritime target detection", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 1270504 (27 June 2023); https://doi.org/10.1117/12.2680520

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
11 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Target detection

Infrared detectors

Infrared imaging

Small targets

Feature extraction

Deep convolutional neural networks

Deep learning

Show All Keywords

Keywords/Phrases

Search In:

Publication Years