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几篇关于基于粒子滤波的检测前跟踪论文 PF--track-before-detected

于 2016-02-29 发布 文件大小:5990KB
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  几篇关于基于粒子滤波的检测前跟踪论文。中文英文都有。(Some papers are about PF-TBD, it is very useful in track before detected. )

文件列表:

PF- track before detected
.........................\MULTIPLE TARGET TRACK-BEFORE-DETECT IN COMPOUND GAUSSIAN CLUTTER.pdf,847671,2015-10-05
.........................\Track Before Detect Algorithm for Tracking real data.pdf,5389029,2015-08-21
.........................\交互MCMC_PF的雷达弱小目标检测与跟踪_曹晓英.pdf,1009839,2014-05-21
.........................\基于KL距离的自适应粒子滤波机动目标检测前跟踪算法.pdf,309273,2015-08-21
.........................\采用粒子滤波的先跟踪后检测算法_李少军.pdf,401877,2014-05-21

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    说明:  MTLAB编写的程序,包括形态学梯度检测二值图像的边缘、用水线阈值法分割图像等。(MTLAB preparation procedures, including detection of morphological gradient binary image of the edge of the water line thresholding segmentation images.)
    2008-05-06 09:59:34下载
    积分:1
  • yu-chu-li
    P0301:数字图像矩阵数据的显示及其傅立叶变换 P0302:二维离散余弦变换的图像压缩 P0303:采用灰度变换的方法增强图像的对比度 P0304:直方图均匀化 P0305:模拟图像受高斯白噪声和椒盐噪声的影响 P0306:采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307:采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308:图像的自适应魏纳滤波 P0309:运用5种不同的梯度增强法进行图像锐化 P0310:图像的高通滤波和掩模处理 P0311:利用巴特沃斯(Butterworth)低通滤波器对受噪声干扰的图像进行平滑处理 P0312:利用巴特沃斯(Butterworth)高通滤波器对图像进行锐化处理 (P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and salt and pepper noise P0306: 2D median filtering function medfilt2 right by Salt and Pepper image noise filtering P0307: using MATLAB functions filter2 of noise images mean filtering P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: Images of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothing P0312: use Butterworth ( Butterworth) high-pass filter for image sharpening)
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    积分:1
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    积分:1
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