A space target recognition algorithm based on structure feature is suggested in this paper.
提出了基于结构特征的空间目标识别算法。
In chapter I, the background of the article is introduced. The theory and method of space target recognition and space ISAR imaging is introduced too.
第一章介绍了本文的研究背景，系统地介绍了空间目标识别以及空间目标ISAR成像的理论与方法。
Regarding the fact that space target recognition is a challenging research problem, this paper proposes a space target recognition algorithm based on the two-dimensional wavelet transform.
对于空间目标识别这个具有挑战性的研究课题，提出了基于二维小波变换的空间目标识别算法。
Obtaining radar echo of high-speed dynamic space target is the basis of research on space targets' electromagnetic characteristics, space targets exploration and recognition.
获取空间高速动态目标的宽带回波数据是进行空间目标电磁特性研究，开展空间目标探测与识别的基础。
The Adaptive Time-delay Neural Network (ATNN) based on exo-atmospheric space point target IR radiation sequences is proposed in order to improve the recognition rate.
为提高目标的正确识别率，提出一种基于空间点目标红外辐射序列的自适应时延神经网络(atnn)识别方法。
To make full use of the feature information of signals in feature extraction for target recognition and classification, this paper discusses establishment and feature compression of raw feature space.
为在特征提取中充分利用目标信号的特征信息，对原始特征空间的建立和特征压缩的过程进行了讨论。
Laser radars are widely used in target detecting, tracking, aiming and imaging recognition because its extremely high resolution in frequency domain, space domain and time domain.
激光雷达因为极高的频域、空域和时域分辨率而在目标探测、跟踪、瞄准和成像识别等方面得到越来越广泛的应用。
Laser radars are widely used in target detecting, tracking, aiming and imaging recognition because its extremely high resolution in frequency domain, space domain and time domain.
激光雷达因为极高的频域、空域和时域分辨率而在目标探测、跟踪、瞄准和成像识别等方面得到越来越广泛的应用。
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