您要查找的是不是:
- Two low SNR image sequences energy accumulation algorithms in common use are discussed. 讨论了两种常用的低信噪比图像序列能量累加算法,一种是针对帧间运动速度较小的多帧累加;
- Track before Detect technology for dim small moving targets in low SNR image sequences was surveyed. 对低信噪比下图像序列运动小目标先跟踪后检测技术进行了较为系统地研究。
- In order to reduce the threat of UAV under the future communicational campaign, detect pretreatment technology for disputed UAV in low SNR image sequences under communicational campaign was surveyed. 摘要为降低未来信息化作战条件下无人机对防空领域的威胁,对低信噪比图像序列抗无人机检测预处理技术进行了较为系统的研究。
- The effective detection for small targets in low SNR images has becoming a hot research field these years. 摘要低信噪比条件下的小目标检测问题一直是近些年来国内外学者研究的一个热门课题。
- Radon transform for line segment detection in low SNR image Radon变换在低信噪比图像中的线段检测
- Application of Binary Statistic Coding to Low SNR Image Recognition 低信噪比图象识别中二元统计编码的应用
- A NONLINEAR METHOD FOR EDGE DETECTION OF LOW SNR IMAGE 低信噪比图象边缘提取的非线性方法
- Hardware implementation of low SNR image sequences energy accumulation 低信噪比图像序列能量积累的硬件实现
- Low SNR Image 低信噪比图像
- The proposed method may estimate Doppler rate robustly in the case of low SNR. 在信噪比较低的条件下此方法可以稳健地估计多普勒调频率。
- To extract target feature of infrared image with low SNR, a new scheme based on combination of wavelet decomposition and energy feature is proposed in this paper. 为提取低信噪比红外雷场图象中的目标,采取了一种基于小波分解和能量特征的目标提取方法。
- Because of low contrast,blurry edges and low SNR of infrared image,this paper proposes an improved segmentation method of local entropy based transition region extraction. 针对红外图像普遍存在目标与背景对比度较低、目标边缘模糊和信噪比低等特点,提出了改进的基于局部熵过渡区提取的分割方法。
- The simulation used Db3 wavelet and two original images with low SNR. 此后许多研究成果都拓宽了此方法的应用前景[3]。
- Simulations of real IR image sequence with low SNR prove the algorithm can effectively detect dim moving target,and has high detection probability and excellent real time performance. 仿真实验结果表明,该算法具有较高的检测率和良好的实时特性,能有效地检测出低信比红外图像序列中的弱小运动目标。
- Dim target can be regarded as transient signal with unknown intensity and location, and it belongs to high frequency part of the image. By multi resolution wavelet transform for the image, dim target in the condition of low SNR could be detected. 将弱小目标看作是红外图像中灰度和位置均未知的暂态信号 ;通过对图像信号作多尺度的小波变换 ;可以在低信噪比条件下检测出弱小目标 .
- It is an unfathomed and difficult problem that weak and small targets are detected in complicated background and low SNR. 摘要复杂背景下低信噪比弱小目标的自动检测是当今目标自动探测研究尚未解决的一个难题。
- Fluctuation complexity is a valid feature to make speech/non-speech decision for the low SNR cases. 涨落复杂性测度技术可以较好地实现在动态噪声环境下对语音端点的检测。
- The simulating results show that the proposed method can detect the endpoint exactly in the low SNR environments. 仿真实验表明此方法快速有效,具有较强的抗噪能力,特别适合低信噪比下的端点检测。
- Conventional methods cannot work well in the condition of low SNR or at a variable background noise level. 常规的检测算法在低信噪比尤其在背景噪声能量可变的环境下不能有效工作。
- Track-Before-Detect(TBD) is an efficient approach which detects and tracks targets in low SNR environment. 检测前跟踪技术是低信噪比环境下目标检测与跟踪的有效方法。