飞控与探测2024，Vol.7Issue(4)：75-86,12.
基于红外特征的空间目标点面一体化智能识别方法
Intelligent Recognition Method for Space Target Point-Surface Integration Based on Infrared Features
摘要
Abstract
In order to solve the problem that the traditional recognition algorithm is not good at identifying the high value targets in the space vehicle game scene,a point surface integrated intelligent recognition method of space tar-gets based on infrared radiation features is proposed. First,a general scenario for spacecraft games is established,and all factors affecting the infrared characteristics of the target spacecraft,such as their three-dimensional shape,motion characteristics,and surface temperature,are modeled. Then,using a computer,common space target infra-red radiation intensities are computed,quantified,and displayed as more realistic infrared feature data after appro-priate processing. Aiming at the problem that traditional recognition algorithms are difficult to apply to complex spatial game scenarios,resulting in low recognition accuracy of spatial targets,an intelligent recognition algorithm based on deep learning is adopted to segment spatial targets according to the characteristics of infrared data features. Finally,the proposed algorithm is simulated and verified. The results show that the recognition algorithm has higher recognition accuracy,and also avoids the complex feature extraction process in traditional methods,which has stronger robustness.关键词
红外辐射/深度学习/卷积/图像识别/姿态运动/空间目标Key words
infrared radiation/deep learning/convolution/image recognition/attitude motion/space target分类
信息技术与安全科学引用本文复制引用
刘九齐,黄海晨,杨浩东,梁海朝..基于红外特征的空间目标点面一体化智能识别方法[J].飞控与探测,2024,7(4):75-86,12.基金项目
国家自然科学基金(62003375) （62003375）
