英汉例句

• the test experiments with real infrared date illustrate the effectiveness of the proposed background clutter suppression algorithm.

  利用几组实测数据的测试实验结果表明了所提出的算法的有效性。

• an effective morphological neural network of background clutter prediction for detecting dim small targets in image data was proposed.

  提出一种有效的背景杂波预测形态神经网络模型，用于检测图像数据中的弱小目标。

• according to the imaging difference of target, background clutter and noise, a moving small target detection method based on spacial high-pass filtering and n-frame track accumulating is presented.

  根据目标、背景干扰和噪声在红外序列图像中的差异，提出了一种基于空间高通滤波和时间域上n帧轨迹积累的运动小目标检测方法。

• the targets are in the background clutter which intensity is heavy. so the performance of the general algorithms is not very good.

  由于目标处于海天线附近的高强度背景杂波中，因此，采用常规的点目标检测算法对其进行检测的结果都不够理想。

• because there is speckle noise in sar image and the background clutter of water is usually very complex, weak target detection is a big challenge for conventional methods.

  sar图像存在相干噪声以及水面背景杂波的复杂性，传统方法对于弱目标检测存在困难。

• the experiment results indicate that wavelet transform can enhance the target and suppress background clutter effectively, and improve the target detection probability and reduce the detection error.

  实验结果表明，小波变换能很好地增强目标，抑制背景杂波，从而提高目标检测概率，降低误检测。

• also, a stretch processing of lfm signal to remove the background clutter is discussed. this method is simple and easily implemented in engineering.

  该文提出的基于线性调频信号拉伸处理的杂波剔除方法，在用干涉技术进行三维成像之前剔除强背景杂波，方法简单易于工程实现。

• the key techniques of automatic target identification in non-tracking emplacement reconnaissance radar are static background clutter processing and identification of target signals.

  基于背景杂波的处理和目标信号的识别，讨论了非跟蹤体制炮位侦察雷达目标的自动识别问题。

• this dissertation concentrates just in the two key techniques: the suppression of strong background clutter and the detection of the dim small moving targets in multi-frames.

  本文研究的正是弱小目标检测与跟蹤系统中的两项关键技术：强背景杂波抑制与基于多帧的弱小目标检测技术。

• a new procedure for detecting weak and small infrared targets in the background clutter was presented.

  提出了长波红外图像中近地空中小目标特性抽取的一种方法 。

• target is so small and target signal is so weak relative to background clutter and noise that image signal-to-noise ratio (snr) is very low.

  对获取的远距离图像，目标成像面积小，目标信号相对背景和噪声来说较弱，甚至被噪声所淹没，致使图像的信噪比很低。

• experimental results using real ir image sequences show that the registration precision can be pixel level and the windows selected can shield background clutter effectively.

  通过实测空中红外小飞机图像序列，证明了该算法配準精度可达到象素级，并可有效屏蔽背景杂波干扰。

• theory analysis and computer simulation show the improved smf is a linear approach and it can extract dim target from ir background clutter effectively.

  原理分析与实验结果表明，这是一种易于硬件实现，能有效抑制强起伏背景杂波的线性滤波方法。