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   ship target 的翻译结果: 查询用时:0.211秒
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ship target
相关语句
  舰船目标
     2. Studies on continuous and line spectrum extraction in 11/2 - dimensionalSpectrum, and extracting feature parameters in virtue of adaptive wavelet-based neural network, which can be applied to ship target classification and recognition simultaneously.
     研究表明:舰船噪声连续谱和线谱的特征信息相结合,能有效地体现舰船的类别特征。 将1 1/2维谱和自适应子波神经网络结合起来,不但能自适应地提取1 1/2维谱的子波特征参数,同时还可以实现舰船目标的分类识别,分类效果较好。
短句来源
     A ROI-based Infrared Ship Target Detection Approach
     一种基于ROI的红外舰船目标检测方法
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     Ship target identification based on the wavelet transform and neural network
     基于子波变换和神经网络的舰船目标识别
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     Ship Target Recognition Based on Support Vector Machine and Radiate Noise
     基于支持向量机和辐射噪声的舰船目标识别
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     Comparison on Ship Target Detection Algorithms of SAR Imagery
     SAR图像舰船目标检测算法的对比研究
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  船舶目标
     Ship target detection in waters makes a significant contribution to marine safety and fishery resources management.
     水上船舶目标检测对于海上安全和渔业资源管理具有重要意义。
短句来源
     This research is supported by TongDa' project of Ministry of Communications #200432981007.The major research content of the dissertation is as follows:After studying the existent ship target information source of the maritime traffic, we used the infrared imaging system as the data collection sensor besides radar and AIS.
     系统分析了现有海上交通系统中船舶目标信息的来源,引入了红外成像系统作为除雷达、AIS以外的数据采集传感器。 从红外图像特点分析入手,针对现场实拍的红外图像中的船舶目标和背景的特点,对目标进行了分类,共分为三类:近距离的大目标,有复杂背景的中距离小目标,背景单一的远距离弱小目标。
短句来源
     The paper proposes a new method based on the principle that pixels constituting the same ship target are spatially correlated and background clutter decreases quickly across scales in the wavelet domain. Correlation of the wavelet subbands derived using stationary wavelet transform at the same scale and across scales is calculated, which is used as weight applied to raw image.
     该文基于船舶目标像元的空间相关性和背景杂波在不同尺度小波变换域快速递减的规律,提出了一种利用静态小波变换分量空域和尺度相关运算对原始信号加权的目标检测方法。
短句来源
     As to ship target in medium distance, segmentation method based on maximum entropy and improved Canny algorithm was researched.
     对于中等距离的船舶目标,本文主要研究了基于最大熵的分割和改进型的Cannv分割算法。
短句来源
     Considering the characteristics of infrared image and moving ship target, this dissertation presented and designed an automatic detection system for ship target. The main task included ship target infrared characteristic analysis, infrared image preprocession, target detection algorithm research, target segmentation algorithm research, target track and forecast algorithm research, system design and several other aspects.
     本文针对红外图像的特点以及船舶目标运动特征,提出并设计了一种船舶目标自动检测系统,主要工作包括船舶目标红外特性分析、红外图像预处理、目标检测算法研究、目标分割算法研究、目标跟踪预测算法研究、系统设计等几个方面。
短句来源
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  船目标
     Feature Extraction for Radar Ship Target Using Compactly Supported Wavelets
     一种基于紧支子波的雷达船目标特征抽取方法
短句来源
     Based on this method, an experiment for ship target is implemented and an average success rate of about 90% is reached for 3 classes of targets.
     基于这种算法 ,对三类船目标进行实验 ,获得平均近 90 %的正确识别率 .
短句来源
     This paper concerns the application of orthogonal discrete wavelet transform in fea-ture extraction for incoherent radar ship target recognition based on the Daubechies’compactly sup ported wavelets.
     本文着重研究正交离散子波变换在非相干雷达船目标特征抽取中的应用。
短句来源
     Experiments are carried out for the proposed method with four kinds of practical radar ship target video-echo data and the results indicate that the new feature vector in low dimension is valua-ble for target classificatlon,and the noise-resistance character is good.
     对现场实录的四类船目标回波数据进行实验,结果表明新构造的低维特征具有较高的目标分类应用价值,抗噪性能良好.
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     Based on this method, an experimental system for ship target recognition is implemented.
     基于本方法,一种实验性的船目标识别系统已经构成并运行。
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  “ship target”译为未确定词的双语例句
     The Methods for Feature Extraction and Classification of Radar Ship Target Using Neural Network
     基于神经网络的舰船雷达目标特征抽取与分类方法研究
短句来源
     The article researches into the detection and identification of ship target.
     本文主要研究了基于舰船磁场—水压场的目标检测与识别的问题。
短句来源
     In view of the low intellectualizer of periscope,the recognition algorithm is researched in this paper, which is based on the background of the ship target recognition using periscope.
     鉴于潜望镜智能化程度不高的现状,对以潜望镜识别水面舰船为应用背景的目标识别算法进行了研究。
短句来源
     Because theα-β filter with constant gain is simpler and the basicrequirements of the ship target tracking can be satisfied by the filter, it is selected in the design, and some problems, such as the parameter-selection in its application, discussed, and some simulations are gived.
     由于常增益α-β滤波跟踪算法比较简单,可以满足船舶目标跟踪的基本要求,因此本设计选用了该方法进行雷达目标跟踪,并对其在实际应用中所涉及到参数选择等问题进行了讨论,给出了仿真结果。
短句来源
     This paper analyses the typical track of the missile when attacking a ship target and presents the relations between the resolution, imaging area, pulse repetition frequency and the flight parameters of the missile.
     本文首先分析了空对舰导弹攻击目标的典型轨迹,给出了分辨率、成象区域、脉冲重复频率及成象时间与导弹飞行参数之间的关系;
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  ship target
A car carrier ship target was embedded in sea clutter.
      
The scenario studied represents a second generation FLIR sensor mounted on an aircraft in level flight at 300m approaching a ship target.
      
It would take perhaps half an hour to reach a ship target.
      


In this paper, the Problem of reliable automatic target recognition from incoherent radar returns is discussed and a new method for ship target recognition is proposed. Based on this method, an experimental system for ship target recognition is implemented. The results obtained from the theoretical and experimental study indicate that a high reliability of recognition can be achieved by using the designed recognition system. An average success rate of more than 90% is reached for 8 classes of ships....

In this paper, the Problem of reliable automatic target recognition from incoherent radar returns is discussed and a new method for ship target recognition is proposed. Based on this method, an experimental system for ship target recognition is implemented. The results obtained from the theoretical and experimental study indicate that a high reliability of recognition can be achieved by using the designed recognition system. An average success rate of more than 90% is reached for 8 classes of ships.

本文讨论了基于非相参雷达回波的目标自动识别问题,提出了一种船目标识别的新方法。基于本方法,一种实验性的船目标识别系统已经构成并运行。理论分析和实验研究所得结果表明,利用所设计的识别系统可以获得目标识别的高可靠性。八类船目标总的识别成功率超过90%。

Fuzzy sets-based information processing techniques provide a simple and effective tool for dealing with complex pattern recognition problems under fuzzy environments. This paper presents a typical fuzzy recognition system which has been set up for classifying radar ship targets successfully. Some important issues, which include the general structure of fuzzy pattern recognition systems, fuzzy feature extraction, membership function construction, feature selection and pattern matching, etc., arediscussed...

Fuzzy sets-based information processing techniques provide a simple and effective tool for dealing with complex pattern recognition problems under fuzzy environments. This paper presents a typical fuzzy recognition system which has been set up for classifying radar ship targets successfully. Some important issues, which include the general structure of fuzzy pattern recognition systems, fuzzy feature extraction, membership function construction, feature selection and pattern matching, etc., arediscussed in detail.

模糊集理论和技术给复杂的模糊背景下的模式识别问题提供了一种简易有效的处理手段。基于模糊集理论,定量地分析和处理识别过程中的各种不确定性信息,以提高识别系统的可靠性和智能度,便是我们研究舰船雷达目标识别系统中识别算法的一重要内容。本文通过舰船雷达目标识别这一典型的模糊模式识别问题,系统地论述了模糊模式识别系统的一般性框架、模糊特征抽取和隶属函数的建立、模糊特征选择和匹配分类、层次化模糊分类系统构造等一系列关键性问题。本文提出的各种方法具有通用性,已建立的识别系统在试验中具有良好的目标识别能力。

The problem of applying neural network to the feature extraction and classification of radar ship target is discussed in this paper. A new feature extraction method is proposed based on Mellin transform and multi-layered feedforward neural network. A new type of neural network classifier is designed due to a group of Kohonen networks. Experiments are carried out for the proposed methods with practical incoherent radar ship target video-echo data and the corresponding results indicate that: a)The...

The problem of applying neural network to the feature extraction and classification of radar ship target is discussed in this paper. A new feature extraction method is proposed based on Mellin transform and multi-layered feedforward neural network. A new type of neural network classifier is designed due to a group of Kohonen networks. Experiments are carried out for the proposed methods with practical incoherent radar ship target video-echo data and the corresponding results indicate that: a)The features extracted by the proposed method have both scale- and shift-invariance, and b) The classifier designed in the paper has much higher classification accuracy than K-nearest neighbour classifier.

本文着重研究应用神经网络来进行舰船雷达目标特征抽取与分类问题,提出了一种基于Mellin变换和多层前馈神经网络的特征抽取方法和一种基于Kohonen网络组的特征分类方法。采用实地录取的三类舰船雷达目标视频回波数据对本文提出的有关方法进行检验,结果表明本文提出的雷达目标特征抽取与分类的神经网络方法是切实可行的,其抽取的特征具有良好的稳定性,其分类的精度很高,明显优于传统的K-邻近分类器。

 
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