SAR-ATR (synthetic aperture radar-automatic target recognition) is a hot topic in remote sensing. This work suggests few-shot recognition approach (FTL) based on the concept of transfer learning to accomplish accurate SAR images scenario since classic ATR method has significant data reliance. At same time, strategy introduces model distillation improve model’s performance further. composed thre...

Automatic target recognition technology is an important research direction in the field of machine vision. Artificial ground targets, such as bridges, airports and houses, are mostly composed straight lines. The ratio geometric primitive lines to triangle area formed by their combination used feature quantity describe group lines, so characterize artificial target. In view shortcomings traditio...

In recent years, more and more researchers' attention has been drawn to the sparse representation-based classification (SRC) method and its application in image analysis and pattern recognition, due to its good characteristics of high recognition rate, robustness to corruption and occlusion, and little dependence on the features selection etc. However, sufficient training samples are always req...

Image processing uses many data processing techniques to transform the raw data or information from a sensor system into useful information from which decisions can be made. Historically, the data processing systems associated with each image processing application were tuned or optimized to that application such as machine inspection, pattern recognition, etc. In today's environment it is desi...

Synthetic aperture radar (SAR) automatic target recognition (ATR) has been receiving more and more attention in the past two decades. But the problem of how to overcome SAR target ambiguities and azimuth angle variations has still left unsolved. In this paper, a multi-scale local phase quantization plus biomimetic pattern recognition (BPR) method is presented to solve these two difficulties. By...

This paper offers a compacted mechanism to carry out the performance evaluation work for an automatic target recognition (ATR) system: (a) a standard description of the ATR system's output is suggested, a quantity to indicate the operating condition is presented based on the principle of feature extraction in pattern recognition, and a series of indexes to assess the output in different aspects...

This demo presents a real-time prototype for automatic blind source extraction and speech recognition in presence of multiple interfering noise sources. Binaural recorded mixtures are processed by a combined Blind/Semi-Blind Source Separation algorithm in order to obtain an estimation of the target signal. The recovered target signal is segmented and used as input to a real-time automatic speec...