首页>
外国专利>
Classification of subsurface objects using singular values derived from signal frames
Classification of subsurface objects using singular values derived from signal frames
展开▼
机译:使用从信号帧导出的奇异值对地下物体进行分类
展开▼
页面导航
摘要
著录项
相似文献
摘要
The classification system represents a detected object with a feature vector derived from the return signals acquired by an array of N transceivers operating in multistatic mode. The classification system generates the feature vector by transforming the real-valued return signals into complex-valued spectra, using, for example, a Fast Fourier Transform. The classification system then generates a feature vector of singular values for each user-designated spectral sub-band by applying a singular value decomposition (SVD) to the N×N square complex-valued matrix formed from sub-band samples associated with all possible transmitter-receiver pairs. The resulting feature vector of singular values may be transformed into a feature vector of singular value likelihoods and then subjected to a multi-category linear or neural network classifier for object classification.
展开▼