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Edge-Aided Multiscale Context Network for Infrared Small Target Detection | IEEE Journals & Magazine | IEEE Xplore

Edge-Aided Multiscale Context Network for Infrared Small Target Detection


Abstract:

Infrared small target detection technology has been widely used in various fields. Infrared small target usually shows the characteristics of low gray values and a lack o...Show More

Abstract:

Infrared small target detection technology has been widely used in various fields. Infrared small target usually shows the characteristics of low gray values and a lack of texture information in complex scenes, which makes it difficult to accurately segment the boundary of infrared small target. To solve this problem, we propose an edge-aided multiscale context network (EAMCNet) in this letter. In the proposed network, we design a two-stream architecture for target detection that considers edge information as a separate processing branch, the edge detection stream processes information in parallel to the target segmentation stream. To emphasize features for different scale of targets, we introduce a gate-based multiscale context information extraction (GMCIE) module to regulate contextual features transmission. Finally, edge features and semantic features are fused by feature fusion module to make full use of their complementarity. Experiments on the SIRST dataset show that the proposed method can achieve excellent performances compared with the state-of-the-art methods.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 20)
Article Sequence Number: 7001405
Date of Publication: 22 September 2023

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