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| Target Recognition Algorithm Based on Hybrid Convolutional Neural Network Feature Enhancement |
| ZHAO Wenyan1, ZHONG Cheng1, TIAN Dianxiong1, LU Zeyu1, LI Yong2
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1. Tangshan Power Supply Company of State Grid Jibei Electric Power Co, Tangshan 263000, China;
2. Shanghai Zhougu Power Technology Co, Ltd, Shanghai 200000, China |
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Abstract To overcome the problem of insufficient feature extraction capabilities of traditional target recognition algorithms in complex scenarios, a new target recognition algorithm based on a hybrid convolutional neural network is proposed. The core of the algorithm lies in combining the learning capability of non-Euclidean domains with traditional convolutional neural networks to enhance the depth and breadth of feature representation. The algorithm in this paper can extract and strengthen the key feature information in target recognition, and significantly improve the accuracy and robustness of recognition.
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Received: 02 September 2024
Published: 09 October 2025
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