CAJ | 학술논문

本文以舰船遥感图像为具体分析对象，针对舰船图像中存在的噪声干扰和目标边缘检测问题，引入小波分析作为解决方法，通过对使用小波进行图像去噪及目标边缘检测原理的分析，采用dbN小波函数为对舰船图像信号进行分解，以自适应阈值法实现高频信号去噪处理，并对降噪后的图像选择合适的平滑函数进行舰船目标边缘提取，结果表明，小波分析能够很好地实现舰船遥感图像去噪，而舰船目标对于边缘提取，虽然效果较好，但仍有进一步优化改进的空间。
본문이함선요감도상위구체분석대상，침대함선도상중존재적조성간우화목표변연검측문제，인입소파분석작위해결방법，통과대사용소파진행도상거조급목표변연검측원리적분석，채용dbN소파함수위대함선도상신호진행분해，이자괄응역치법실현고빈신호거조처리，병대강조후적도상선택합괄적평활함수진행함선목표변연제취，결과표명，소파분석능구흔호지실현함선요감도상거조，이함선목표대우변연제취，수연효과교호，단잉유진일보우화개진적공간。
In this paper, a detailed analysis of ship target for remote sensing images is in connection with the noise present in the image and the target edge detection problem. Through the analysis of image noise and target edge detection by using wavelet, we decided to use dbN wavelet function for image signal decomposition, the denoising principle of the high-frequency signal has been achieved to adapt to the threshold. Meanwhile, the image edge extraction has been achieved by the noise reduction and selection after suitable smoothing function. As is shown in the results that a good ship remote sensing image can been achieved by the wavelet analysis, as for the edge extraction, although better, there is still room for improvement to further optimization.