We propose an multi-modality prototypical network for open set HRRP recognition. Our method combines adaptive feature extractor (AFE) and Mahalanobis-based ...

Highlights•We propose an multi-modality prototypical network for open set HRRP recognition.•Our method combines adaptive feature extractor (AFE) and ...

We first define open set learning problem on HRRP recognition task. Then, we propose a multi-modality prototypical network (MMPN) to attack the problem. Our ...

Open set HRRP recognition with few samples based on multi-modality prototypical networks · Long Tian, Bo Chen, +3 authors. Hongwei Liu · Published in Signal ...

Oct 22, 2024 · Here, open set HRRP recognition is achieved by incorporating extreme value theory into convolutional neural network. The softmax layer is ...

Long Tian, Bo Chen, Zekun Guo, Chuan Du, Yang Peng, Hongwei Liu: Open set HRRP recognition with few samples based on multi-modality prototypical networks.

Open set HRRP recognition with few samples based on multi-modality prototypical networks. Long Tian, Bo Chen, Zekun Guo, Chuan Du, Yang Peng, Hongwei Liu.

This paper proposes a novel boundary detection algorithm based on the distribution balance property of k-nearest neighbor objects.

Jun 25, 2024 · A scattering center neural network (SCNet) is proposed for radar HRRP target recognition with incomplete target-aspects.

This method can effectively use the relevant information between multi-view HRRPs to improve the performance of HRRP recognition under open set conditions. The ...