文件名称:Smal-l-Target--Detection
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提出了一种新的基于小波包变换
和偏斜度的检测方法。该方法利用小波包对图像进行多尺度分解，解决了高频段分辨率低的问题；
并提出了一个基于偏斜度的高斯判别准则，用于对小波包分解系数进行高斯性检验，最终得到了
小目标的精确检测-The wavelet packets were applied to decompose the image into pyramid subbands at
different scales and solve the problem of the higher frequencies having lower resolutions. Then a Gaussian measurement
criterion based on skewness was proposed to test the Gaussian nature of the wavelet packet coefficients and finally the exact
detection result was obtained.
和偏斜度的检测方法。该方法利用小波包对图像进行多尺度分解，解决了高频段分辨率低的问题；
并提出了一个基于偏斜度的高斯判别准则，用于对小波包分解系数进行高斯性检验，最终得到了
小目标的精确检测-The wavelet packets were applied to decompose the image into pyramid subbands at
different scales and solve the problem of the higher frequencies having lower resolutions. Then a Gaussian measurement
criterion based on skewness was proposed to test the Gaussian nature of the wavelet packet coefficients and finally the exact
detection result was obtained.
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下载文件列表
New Method for Infrared Smal l Target Detection under Complex Background.caj