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The two-dimensional (2-D) image of a spinning target obtained by monostatic radar is modified by the angle between the spinning axis and the radar line of sight (LOS), so it usually cannot describe the real size of the target. The T/R-R bistatic radar is proposed to solve this problem. First, the bistatic geometry and bistatic echo signals of a spinning target are modeled. Then, a novel 2-D imaging algorithm is presented based on the connections between the mono- and bistatic echoes of the same scatterer and the classical Hough transform (HT), allowing both the monostatic and bistatic 2-D images that coincide with the real target to be obtained simultaneously. The theoretical analysis is validated by the simulation and electromagnetic calculation. [ABSTRACT FROM PUBLISHER]

This paper studies the problem of end-to-end windows mining directly from detection output. Traditional object detection systems approach this problem in an ad-hoc manner, say, Non-Maximum Suppression (NMS). Beyond NMS, multi-class context modeling has been explored thoroughly recent years. But all these methods put their emphasis on eliminating false positive windows rather than improving recall. To address this problem, we firstly study this problem and propose semantic windows mining. To improve recall, we propose Selective Forward Search (SFS) which keeps most of the semantic windows while substantially reduces the number of false positives. After SFS, to improve precision, we present the end-to-end windows mining by means of similarity refining optimized for mean Average Precision (mAP) and overlap regression. We show a noticeable improvement on the PASCAL VOC datasets in both recall and precision. [ABSTRACT FROM PUBLISHER]

Saliency is an important factor in feature coding, based on which saliency coding (SaC) has been proposed for image classification recently. SaC is both effective and efficient in case of a moderate-scale codebook. However, empirical studies show that SaC will lose its superiority as the codebook size increases. To address this problem, we propose a group coding strategy, wherein the latent structure information of a codebook is explored by grouping neighboring codewords into a group-code. We apply group coding to SaC and derive the group saliency coding (GSC) scheme. Thorough experiments on different datasets show that GSC consistently performs better than SaC, and also outperforms other popular coding schemes, e.g., local-constrained linear coding, in terms of both accuracy and speed. [ABSTRACT FROM PUBLISHER]

The rotational radius extracted via the available algorithms is modified by the angle between the rotational axis and the radar line of sight (LOS) in the monostatic radar. In this paper, the T/R-R bistatic radar is introduced to solve this problem. Firstly, the geometric relation between the bistatic radar and rotational target and the bistatic echo signals are modeled. Then the relation between mono- and bistatic micro-Doppler frequencies is derived and the micro-Doppler parameters are estimated separately via the Time Frequency Distribution and Hough Transform (TFD-HT). Combining with the estimated results and the bistatic geometry, the angle between the rotational axis and the radar LOS and the exact rotational radius is estimated. The theoretical analysis is validated by the simulation results finally. [ABSTRACT FROM PUBLISHER]