Ship target recognition
WebThe line spectrum com-ponents in ship-radiated noise (S-RN) signals carrying rich information that characterizes the target, such as speed, tonnage, and type, provides the main basis for target classification [ 1 ]. WebFind many great new & used options and get the best deals for Radar Automatic Target Recognition (ATR) and Non-cooperative by Blacknell Ed (En at the best online prices at eBay! Free shipping for many products!
Ship target recognition
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Web13 Sep 2024 · A method for recognition of maritime target by the ISAR image has been proposed. In the paper, the methods of template lib constructing, projected plane … WebMaritime Ship Targets Recognition with Deep Learning Abstract: In order to improve the accuracy of intelligent recognition of the marine ships besides the realization of the …
WebThe ship target recognition (STR) is greatly related to the battlefield situation awareness, which has recently gained prominence in the military domains. With the diversification … Web1 Jun 2024 · Target detection is the foundation for USV applications. Ocean wave, frog, and illumination are the most important factors that affect exactness of target detection …
Web9 Feb 2024 · Abstract: A novel Dual-polarization SAR ship target recognition method based on feature and loss fusion deep network is proposed in this paper, to improve the … Web27 Sep 2024 · To solve these problems, a ship recognition method is proposed based on the lightweight Transformer model. The model enhances the representation of key features …
To assess the performance of a target recognition model, four parameters were chosen as the accuracy evaluation indicators: accuracy, mean average precision (mAP), intersection ratio (IOU), and frame per second (FPS). 1. (a) Accuracy Accuracy, also known as detection accuracy, is the ratio of all … See more The Faster R-CNN algorithm was proposed by Ross Girshick’s team on the basis of the R-CNN algorithm [24]. Faster R-CNN was improved on the premise of … See more The Mask R-CNN algorithm extends from the Faster R-CNN algorithm, which is both target detection frameworks that were proposed by the same author [27]. … See more
Web1 Feb 2024 · A ship target dynamic recognition method based on image recognition and VR technology February 2024 Journal of Physics Conference Series 2195 (1):012003 License … quantum q vex spinning reelWebAt present, studies on optical ship target recognition are mainly focused on low-level recognition applications, such as the classification and recognition of military and civilian ships and recognition of important ship targets [ 1, 2 ], and the fine identification ability of the target model is insufficient. quantum quench of the sachdev-ye-kitaev modelWebFacial recognition is set to fundamentally change our experience and understanding of monitoring, surveillance, and privacy. Backed by powerful industry interests, this technology is being integrated into many areas of society - from airports to … quantum q6 edge 3 power chairWebA recognition method and small target technology, applied in the direction of character and pattern recognition, instruments, computer parts, etc., can solve the problems of unrecognizable, unobvious features of ships, etc., and … quantum properties in fort smith arkansasWeb23 Nov 2024 · In this paper, a ship target recognition method based on a context-enhanced trajectory is proposed. The maritime context knowledge base is constructed to enhance … quantum q6 edge mobility chairWeb7 Sep 2024 · Therefore, this paper proposes an effective ship recognition approach, which combines Hu invariant moments features and CNN features to achieve superior ship … quantum radiation theoryWebAbout Worked as a material manager for Harris Corporation for over five years in the Commercial Space Program Mobile Satellite Ventures. Obtained three certificates of recognition for an... quantum r4000 wheelchair parts